Mikhail Korzinkin

1.5k total citations · 1 hit paper
12 papers, 618 citations indexed

About

Mikhail Korzinkin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pathology and Forensic Medicine. According to data from OpenAlex, Mikhail Korzinkin has authored 12 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Mikhail Korzinkin's work include Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). Mikhail Korzinkin is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). Mikhail Korzinkin collaborates with scholars based in Russia, Hong Kong and United States. Mikhail Korzinkin's co-authors include Alex Zhavoronkov, Alexander Aliper, Anton Buzdin, Nikolay Borisov, Alexey Moskalev, Charles R. Cantor, Evgeny Putin, Polina Mamoshina, Jan Vijg and Larisa Venkova and has published in prestigious journals such as Nature Communications, Kidney International and Oncotarget.

In The Last Decade

Mikhail Korzinkin

12 papers receiving 600 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.

PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery

2024 65 citations Petrina Kamya, Ivan V. Ozerov et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mikhail Korzinkin Russia	11	304	89	87	74	62	12	618
Peipei Ping United States	10	445 1.5×	34 0.4×	64 0.7×	46 0.6×	36 0.6×	23	759
Nicolas Borisov Russia	18	404 1.3×	71 0.8×	182 2.1×	128 1.7×	27 0.4×	31	659
Jorgen Engmann United Kingdom	6	323 1.1×	73 0.8×	52 0.6×	36 0.5×	28 0.5×	10	673
Melody K. Morris United States	10	574 1.9×	103 1.2×	44 0.5×	32 0.4×	17 0.3×	16	940
Ivan V. Ozerov United States	20	699 2.3×	272 3.1×	188 2.2×	157 2.1×	149 2.4×	34	1.3k
Mulin Jun Li China	15	883 2.9×	112 1.3×	213 2.4×	52 0.7×	24 0.4×	32	1.4k
Andréi S. Rodin United States	19	639 2.1×	45 0.5×	75 0.9×	44 0.6×	69 1.1×	48	1.0k
Kristen Fortney United States	14	340 1.1×	105 1.2×	24 0.3×	18 0.2×	11 0.2×	26	557
Emily Bowler-Barnett United Kingdom	7	794 2.6×	41 0.5×	159 1.8×	59 0.8×	26 0.4×	10	1.4k
Lana X. Garmire United States	4	588 1.9×	34 0.4×	157 1.8×	86 1.2×	73 1.2×	5	802

Countries citing papers authored by Mikhail Korzinkin

Since Specialization

Citations

This map shows the geographic impact of Mikhail Korzinkin'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 Mikhail Korzinkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Korzinkin more than expected).

Fields of papers citing papers by Mikhail Korzinkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Korzinkin. 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 Mikhail Korzinkin. The network helps show where Mikhail Korzinkin may publish in the future.

Co-authorship network of co-authors of Mikhail Korzinkin

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Korzinkin. A scholar is included among the top collaborators of Mikhail Korzinkin 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 Mikhail Korzinkin. Mikhail Korzinkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Kamya, Petrina, Ivan V. Ozerov, Frank W. Pun, et al.. (2024). PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery. Journal of Chemical Information and Modeling. 64(10). 3961–3969. 65 indexed citations breakdown →

Chen, Zhiyong, et al.. (2023). Drug discovery and therapeutic perspectives for proximal tubulopathies. Kidney International. 104(6). 1103–1112. 6 indexed citations

Ren, Christopher X., Anastasia Shneyderman, Frank W. Pun, et al.. (2023). Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform. Aging. 15(8). 2863–2876. 11 indexed citations

Berquez, Marine, Zhiyong Chen, Beatrice Paola Festa, et al.. (2023). Lysosomal cystine export regulates mTORC1 signaling to guide kidney epithelial cell fate specialization. Nature Communications. 14(1). 3994–3994. 21 indexed citations

Aliper, Alexander, Marine E. Bozdaganyan, Ivan V. Ozerov, et al.. (2020). Radioprotectors.org: an open database of known and predicted radioprotectors. Aging. 12(15). 15741–15755. 22 indexed citations

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

Korzinkin, Mikhail, Maxim Sorokin, Peter Shegay, et al.. (2016). MiRImpact, a new bioinformatic method using complete microRNA expression profiles to assess their overall influence on the activity of intracellular molecular pathways. Cell Cycle. 15(5). 689–698. 19 indexed citations

Korzinkin, Mikhail, Alexander Aliper, Nicolas Borisov, et al.. (2015). Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human. Oncotarget. 7(1). 656–670. 29 indexed citations

Buzdin, Anton, Alex Zhavoronkov, Mikhail Korzinkin, et al.. (2014). Oncofinder, a new method for the analysis of intracellular signaling pathway activation using transcriptomic data. Frontiers in Genetics. 5. 55–55. 70 indexed citations

10.

Borisov, Nikolay, Nadezhda V. Terekhanova, Alexander Aliper, et al.. (2014). Signaling pathways activation profiles make better markers of cancer than expression of individual genes. Oncotarget. 5(20). 10198–10205. 60 indexed citations

11.

Buzdin, Anton, Alex Zhavoronkov, Mikhail Korzinkin, et al.. (2014). The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis. Frontiers in Molecular Biosciences. 1. 8–8. 45 indexed citations

12.

Lezhnina, Ksenia, Olga Kovalchuk, Alex Zhavoronkov, et al.. (2014). Novel robust biomarkers for human bladder cancer based on activation of intracellular signaling pathways. Oncotarget. 5(19). 9022–9032. 39 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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