Nikolay Borisov

2.1k citations
37 papers · 1.5k indexed · 1 hit paper · h-index 18
Topics
Bioinformatics and Genomic Networks (11 papers)Gene Regulatory Network Analysis (6 papers)Computational Drug Discovery Methods (5 papers)

In The Last Decade

Nikolay Borisov

32 papers receiving 1.5k citations

Hit Papers

Pathway Based Analysis of Mutation Data Is Efficient for ...20192026202120232019100200300400

Peers

Nikolay Borisov
Comparison fields: 5 of 146
  • Molecular Biology 947
  • Cancer Research 193
  • Computational Theory and Mathematics 184
  • Oncology 147
  • Pulmonary and Respiratory Medicine 145
Replace Thomas M. Vondriska with:
Thomas M. Vondriska United States
Seth Berger United States
Subhendu Mukherjee United States
Maxim Sorokin Russia
Andrew Garazha Russia
Elza Tiemi Sakamoto‐Hojo Brazil
Bruno Baudin France
Francesco Romeo Italy
Adam J. de Smith United States
Hyeon-Nae Jeon South Korea
Nikolay Borisov relative to Thomas M. Vondriska United States Thomas M. Vondriska's profile →
Citations per field
00.5×1.7×
Thomas M. Vondriska · 1×
Citations per year

Countries citing papers authored by Nikolay Borisov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Borisov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Borisov

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 22
2 9
3
Pathway Based Analysis of Mutation Data Is Efficient for Scoring Target Cancer Drugsbreakdown →
467
4 23
5 26
6 93
7 12
8 19
9 70
10 56
11 36
12 45
13 60
14 0
15 158
16 34
17 143
18 73
19 33
20 23

About Nikolay Borisov

Nikolay Borisov is a scholar working on Radiation, Aging and Cancer Research, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Aging (28 citations), Molecular Biology (947 citations) and Cancer Research (193 citations). Nikolay Borisov has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Anton Buzdin, Boris Ν. Kholodenko, Andrew Garazha, Maxim Sorokin, Jan B. Hoek, Marianna Zolotovskaia, Denis Kuzmin, Pieter Borger, Anna A. Emelianova and Alex Zhavoronkov. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

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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