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Most published authors (scientific articles only) of the journal
scientific articles published in peer review journal, serial, conference publications, indexed in international bibliographical databases and/or having DOI index
|
1. |
V. D. Lakhno |
40 |
2. |
M. N. Ustinin |
25 |
3. |
E. Ya. Frisman |
18 |
4. |
V. Yu. Lunin |
17 |
5. |
N. N. Nazipova |
17 |
6. |
D. A. Tikhonov |
17 |
7. |
S. D. Rykunov |
16 |
8. |
V. A. Likhoshvai |
14 |
9. |
O. N. Ozoline |
14 |
10. |
T. E. Petrova |
14 |
11. |
A. M. Andrianov |
13 |
12. |
G. P. Neverova |
13 |
13. |
T. M. Khlebodarova |
13 |
14. |
V. S. Bystrov |
12 |
15. |
V. A. Kutyrkin |
12 |
16. |
N. L. Lunina |
12 |
17. |
M. B. Chaley |
12 |
18. |
N. V. Zaitseva |
11 |
19. |
E. A. Isaev |
11 |
20. |
A. E. Medvedev |
11 |
21. |
V. V. Panyukov |
11 |
22. |
P. V. Trusov |
11 |
23. |
A. V. Tuzikov |
11 |
24. |
N. S. Fialko |
11 |
25. |
A. I. Abakumov |
11 |
|
40 most published authors of the journal |
|
Most cited authors of the journal |
1. |
V. D. Lakhno |
133 |
2. |
M. N. Ustinin |
104 |
3. |
E. Ya. Frisman |
82 |
4. |
D. A. Tikhonov |
81 |
5. |
A. V. Efimov |
67 |
6. |
L. I. Kulikova |
66 |
7. |
G. P. Neverova |
65 |
8. |
A. I. Abakumov |
64 |
9. |
V. S. Bystrov |
63 |
10. |
N. N. Nazipova |
60 |
11. |
S. D. Rykunov |
55 |
12. |
E. A. Isaev |
43 |
13. |
N. Adlakha |
40 |
14. |
A. N. Korshounova |
40 |
15. |
R. Llinás |
40 |
16. |
N. V. Zaitseva |
37 |
17. |
N. V. Pertsev |
37 |
18. |
P. V. Trusov |
37 |
19. |
O. N. Ozoline |
36 |
20. |
V. Yu. Lunin |
35 |
21. |
A. A. Romanyukha |
35 |
22. |
M. Yu. Cinker |
35 |
|
40 most cited authors of the journal |
|
Most cited articles of the journal |
1. |
Nonlinear dynamic modeling of 2-dimensional interdependent calcium and inositol 1,4,5-trisphosphate in cardiac myocyte Nisha Singh, Neeru Adlakha Mat. Biolog. Bioinform., 2019, 14:1, 290–305 |
21 |
2. |
Simulation of buffered advection diffusion of calcium in a hepatocyte cell Y. D. Jagtap, N. Adlakha Mat. Biolog. Bioinform., 2018, 13:2, 609–619 |
19 |
3. |
Modeling of human breath: conceptual and mathematical statements P. V. Trusov, N. V. Zaitseva, M. Yu. Tsinker Mat. Biolog. Bioinform., 2016, 11:1, 64–80 |
19 |
4. |
Mathematical models of tuberculosis extension and control of it (review) K. K. Avilov, A. A. Romanyukha Mat. Biolog. Bioinform., 2007, 2:2, 188–318 |
17 |
5. |
Chiral peculiar properties of self-organization of diphenylalanine peptide nanotubes: modeling of structure and properties V. S. Bystrov, P. S. Zelenovskiy, A. S. Nuraeva, S. Kopyl, O. A. Zhulyabina, V. A. Tverdislov Mat. Biolog. Bioinform., 2019, 14:1, 94–125 |
16 |
6. |
Statistical analysis of the internal distances of helical pairs in protein molecules D. A. Tikhonov, L. I. Kulikova, A. V. Efimov Mat. Biolog. Bioinform., 2016, 11:2, 170–190 |
16 |
7. |
Autowave processes Yu. E. El'kin Mat. Biolog. Bioinform., 2006, 1:1, 27–40 |
16 |
8. |
Modeling of insect-pathogen dynamics with biological control S. Saha, G. Samanta Mat. Biolog. Bioinform., 2020, 15:2, 268–294 |
15 |
9. |
The harvesting effect on a fish population A. I. Abakumov, Yu. G. Izrailsky Mat. Biolog. Bioinform., 2016, 11:2, 191–204 |
15 |
10. |
Computational studies of the hydroxyapatite nanostructures, peculiarities and properties V. S. Bystrov Mat. Biolog. Bioinform., 2017, 12:1, 14–54 |
14 |
11. |
On the DNA kink motion under the action of constant torque L. V. Yakushevich, V. N. Balashova, F. K. Zakiryanov Mat. Biolog. Bioinform., 2016, 11:1, 81–90 |
14 |
12. |
Software for the partial spectroscopy of human brain S. D. Rykunov, M. N. Ustinin, A. G. Polyanin, V. V. Sytchev, R. R. Llinás Mat. Biolog. Bioinform., 2016, 11:1, 127–140 |
14 |
13. |
The study of interhelical angles in the structural motifs formed by two helices D. A. Tikhonov, L. I. Kulikova, A. V. Efimov Mat. Biolog. Bioinform., 2017, 12:1, 83–101 |
13 |
14. |
Dynamic modes of exploited limited population: results of modeling and numerical study G. P. Neverova, A. I. Abakumov, E. Ya. Frisman Mat. Biolog. Bioinform., 2016, 11:1, 1–13 |
13 |
15. |
Formation of stationary electronic states in finite homogeneous molecular chains V. D. Lakhno, A. N. Korshounova Mat. Biolog. Bioinform., 2010, 5:1, 1–29 |
12 |
16. |
Transmission of acute respiratory infections in a city: agent-based approach A. I. Vlad, T. E. Sannikova, A. A. Romanyukha Mat. Biolog. Bioinform., 2020, 15:2, 338–356 |
11 |
17. |
Dynamics of large radius polaron in a model polynucleotide chain with random perturbations N. S. Fialko, V. D. Lakhno Mat. Biolog. Bioinform., 2019, 14:2, 406–419 |
11 |
18. |
The peculiarities of polaron motion in the molecular polynucleotide chains of finite length in the presence of localized excitations in the chain A. N. Korshunova, V. D. Lakhno Mat. Biolog. Bioinform., 2017, 12:1, 204–224 |
11 |
19. |
Effects of the аspen short-rotation plantation on the C and N biological cycles in boreal forests: the model experiment A. S. Komarov, O. G. Chertov, S. S. Bykhovets, I. V. Priputina, V. N. Shanin, E. O. Vidyagina, V. G. Lebedev, K. A. Shestibratov Mat. Biolog. Bioinform., 2015, 10:2, 398–415 |
11 |
20. |
A fractional epidemic model with Mittag-Leffler kernel for COVID-19 Hassan Aghdaoui, Mouhcine Tilioua, Kottakkaran Sooppy Nisar, Ilyas Khan Mat. Biolog. Bioinform., 2021, 16:1, 39–56 |
10 |
21. |
The application of a distributed model of active media for the analysis of urban ecosystems development A. E. Sidorova, N. T. Levashova, A. E. Semina, A. A. Melnikova Mat. Biolog. Bioinform., 2018, 13:2, 454–465 |
10 |
22. |
Dynamic modes of limited structured population under age specific harvest G. P. Neverova, A. I. Abakumov, E. Ya. Frisman Mat. Biolog. Bioinform., 2017, 12:2, 327–342 |
10 |
23. |
Analysis of the torsion angles between helical axes in pairs of helices in protein molecules D. A. Tikhonov, L. I. Kulikova, A. V. Efimov Mat. Biolog. Bioinform., 2017, 12:2, 398–410 |
10 |
24. |
Spontaneous halt of spiral wave drift in homogeneous excitable media Yu. E. El'kin, A. V. Moskalenko, Ch. F. Starmer Mat. Biolog. Bioinform., 2007, 2:1, 73–81 |
10 |
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40 most cited articles of the journal |
|
Most requested articles of the journal |
|
|
1. |
Mathematical models of tuberculosis extension and control of it (review) K. K. Avilov, A. A. Romanyukha Mat. Biolog. Bioinform., 2007, 2:2, 188–318 | 17 |
2. |
Artificial neural networks in cardiology: analysis of numerical and text data P. S. Onishchenko, K. Yu. Klyshnikov, E. A. Ovcharenko Mat. Biolog. Bioinform., 2020, 15:1, 40–56 | 13 |
3. |
Rippling codes of event sequences V. D. Tsukerman, S. V. Kulakov, O. V. Karimova Mat. Biolog. Bioinform., 2006, 1:1, 108–122 | 12 |
4. |
Big Data in bioinformatics N. N. Nazipova, E. A. Isaev, V. V. Kornilov, D. V. Pervukhin, A. A. Morozova, A. A. Gorbunov, M. N. Ustinin Mat. Biolog. Bioinform., 2018, 13:Suppl., 1–16 | 12 |
5. |
Data center efficiency model: A new approach and the role of artificial intelligence E. A. Isaev, V. V. Kornilov, A. A. Grigor'ev Mat. Biolog. Bioinform., 2023, 18:1, 215–227 | 10 |
6. |
Assembly of a diphenylalanine peptide nanotube by molecular dynamics methods I. V. Likhachev, V. S. Bystrov, S. V. Filippov Mat. Biolog. Bioinform., 2023, 18:1, 251–266 | 10 |
7. |
Mathematical model of phytoplankton interspecific competition for food resource A. I. Abakumov, I. S. Kozitskaya Mat. Biolog. Bioinform., 2023, 18:2, 568–579 | 9 |
8. |
Considering usage of different force-fields for molecular dynamic studies of the ionic peptides and their dimers A. V. Danilkovich, D. A. Tikhonov, E. V. Sobolev, T. E. Shadrina, I. P. Udovichenko Mat. Biolog. Bioinform., 2011, 6:1, 53–62 | 7 |
9. |
Molecular dynamic of the complexes of $\mathrm{(RADA)_4}$ – the self-organizing ionic peptides A. V. Danilkovich, E. V. Sobolev, D. A. Tikhonov, T. E. Shadrina, I. P. Udovichenko Mat. Biolog. Bioinform., 2011, 6:1, 92–101 | 7 |
10. |
Application of M-matrices for the study of mathematical models of living systems N. V. Pertsev, B. Yu. Pichugin, A. N. Pichugina Mat. Biolog. Bioinform., 2018, 13:1, 208–237 | 7 |
|
Total publications: |
543 |
Scientific articles: |
540 |
Authors: |
897 |
Citations: |
1372 |
Cited articles: |
378 |
|
Scopus Metrics |
|
2023 |
CiteScore |
1.100 |
|
2023 |
SNIP |
0.318 |
|
2023 |
SJR |
0.165 |
|
2022 |
SJR |
0.182 |
|
2021 |
SJR |
0.176 |
|
2020 |
SJR |
0.154 |
|
2019 |
SJR |
0.123 |
|
2018 |
CiteScore |
0.490 |
|
2018 |
SJR |
0.195 |
|
2017 |
CiteScore |
0.180 |
|
2017 |
SNIP |
0.121 |
|
2017 |
SJR |
0.136 |
|
2016 |
CiteScore |
0.220 |
|
2016 |
SNIP |
0.341 |
|
2016 |
SJR |
0.207 |
|
2015 |
CiteScore |
0.200 |
|
2015 |
SNIP |
0.217 |
|
2015 |
IPP |
0.148 |
|
2015 |
SJR |
0.128 |
|
2014 |
CiteScore |
0.160 |
|
2014 |
SNIP |
0.198 |
|
2014 |
IPP |
0.171 |
|
2014 |
SJR |
0.172 |
|
2013 |
SNIP |
0.041 |
|
2013 |
IPP |
0.063 |
|
2013 |
SJR |
0.126 |
|