Evgeny Putin

2.9k total citations · 1 hit paper
13 papers, 1.7k citations indexed

About

Evgeny Putin is a scholar working on Molecular Biology, Physiology and Computational Theory and Mathematics. According to data from OpenAlex, Evgeny Putin has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Evgeny Putin's work include Computational Drug Discovery Methods (3 papers), Nutritional Studies and Diet (3 papers) and Protein Structure and Dynamics (2 papers). Evgeny Putin is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Nutritional Studies and Diet (3 papers) and Protein Structure and Dynamics (2 papers). Evgeny Putin collaborates with scholars based in Russia, United States and United Kingdom. Evgeny Putin's co-authors include Alex Zhavoronkov, Polina Mamoshina, Armando Vieira, Yan A. Ivanenkov, Arip Asadulaev, Alexander Aliper, Alex Aliper, Benjamín Sánchez-Lengeling, Vladimir Aladinskiy and Alán Aspuru‐Guzik and has published in prestigious journals such as Scientific Reports, The Journals of Gerontology Series A and Journal of Chemical Information and Modeling.

In The Last Decade

Evgeny Putin

13 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Applications of Deep Learning in Biomedicine

2016 464 citations Polina Mamoshina, Armando Vieira et al. Molecular Pharmaceutics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Evgeny Putin Russia	11	719	500	343	186	175	13	1.7k
Alex Aliper United States	16	724 1.0×	600 1.2×	391 1.1×	129 0.7×	115 0.7×	41	1.5k
Quentin Vanhaelen United States	11	649 0.9×	521 1.0×	269 0.8×	76 0.4×	31 0.2×	20	1.2k
Assaf Gottlieb United States	20	1.5k 2.1×	877 1.8×	97 0.3×	293 1.6×	76 0.4×	47	2.5k
Yuanfang Guan United States	34	2.0k 2.8×	343 0.7×	100 0.3×	191 1.0×	112 0.6×	112	3.4k
Sun Kim South Korea	27	1.4k 1.9×	223 0.4×	68 0.2×	114 0.6×	144 0.8×	173	2.7k
Guoli Wang China	31	3.0k 4.2×	277 0.6×	702 2.0×	61 0.3×	146 0.8×	124	4.0k
Rudiyanto Gunawan United States	28	1.3k 1.8×	136 0.3×	407 1.2×	47 0.3×	89 0.5×	88	2.3k
Jianrong Xu China	26	1.0k 1.4×	287 0.6×	117 0.3×	54 0.3×	294 1.7×	126	2.5k
P. K. Vinod India	22	754 1.0×	209 0.4×	157 0.5×	248 1.3×	62 0.4×	67	1.6k
Carlo Vittorio Cannistraci Italy	31	937 1.3×	208 0.4×	21 0.1×	340 1.8×	171 1.0×	96	2.7k

Countries citing papers authored by Evgeny Putin

Since Specialization

Citations

This map shows the geographic impact of Evgeny Putin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Evgeny Putin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeny Putin more than expected).

Fields of papers citing papers by Evgeny Putin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeny Putin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evgeny Putin. The network helps show where Evgeny Putin may publish in the future.

Co-authorship network of co-authors of Evgeny Putin

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Putin. A scholar is included among the top collaborators of Evgeny Putin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evgeny Putin. Evgeny Putin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Filchenkov, Andrey, et al.. (2021). Combating data incompetence in pollen images detection and classification for pollinosis prevention. Computers in Biology and Medicine. 140. 105064–105064. 18 indexed citations

2.

Galkin, Fedor, Polina Mamoshina, Alex Aliper, et al.. (2020). Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning. iScience. 23(6). 101199–101199. 135 indexed citations

3.

Mamoshina, Polina, Kirill Kochetov, Franco Cortese, et al.. (2019). Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers. Scientific Reports. 9(1). 142–142. 66 indexed citations

4.

Putin, Evgeny, et al.. (2018). Pollen grain recognition using convolutional neural network.. The European Symposium on Artificial Neural Networks. 23 indexed citations

5.

Mamoshina, Polina, et al.. (2018). Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification. Frontiers in Genetics. 9. 242–242. 134 indexed citations

6.

Putin, Evgeny, Arip Asadulaev, Yan A. Ivanenkov, et al.. (2018). Reinforced Adversarial Neural Computer for de Novo Molecular Design. Journal of Chemical Information and Modeling. 58(6). 1194–1204. 258 indexed citations

7.

Putin, Evgeny, Arip Asadulaev, Quentin Vanhaelen, et al.. (2018). Adversarial Threshold Neural Computer for Molecular de Novo Design. Molecular Pharmaceutics. 15(10). 4386–4397. 153 indexed citations

8.

Skjodt, Neil M., Polina Mamoshina, Franco Cortese, et al.. (2018). Smoking causes early biological aging: a deep neural network analysis of common blood test results. OA3809–OA3809. 1 indexed citations

9.

Mamoshina, Polina, Kirill Kochetov, Evgeny Putin, et al.. (2018). Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations. The Journals of Gerontology Series A. 73(11). 1482–1490. 128 indexed citations

10.

Mamoshina, Polina, Armando Vieira, Evgeny Putin, & Alex Zhavoronkov. (2016). Applications of Deep Learning in Biomedicine. Molecular Pharmaceutics. 13(5). 1445–1454. 464 indexed citations breakdown →

11.

Putin, Evgeny, Polina Mamoshina, Alexander Aliper, et al.. (2016). Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging. 8(5). 1021–1033. 231 indexed citations

12.

Putin, Evgeny, et al.. (2016). SpecNN: The specifying neural network. 1–5. 1 indexed citations

13.

Aliper, Alexander, Aleksey V. Belikov, Andrew Garazha, et al.. (2016). In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state. Aging. 8(9). 2127–2152. 45 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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