Viktor S. Stroylov

687 citations
33 papers · 562 indexed · h-index 13
Topics
Computational Drug Discovery Methods (10 papers)Protein Structure and Dynamics (9 papers)PARP inhibition in cancer therapy (4 papers)
Partner nations
RussiaIranGermany

In The Last Decade

Viktor S. Stroylov

33 papers receiving 540 citations

Peers

Viktor S. Stroylov
Comparison fields: 5 of 86
  • Molecular Biology 295
  • Computational Theory and Mathematics 165
  • Organic Chemistry 109
  • Oncology 83
  • Materials Chemistry 62
Replace Ghermes G. Chilov with:
Ghermes G. Chilov Russia
Gary Brandt United States
Nulgumnalli Manjunathaiah Raghavendra India
Steffen Lang Germany
Ashraf K. El‐Damasy Egypt
Sina Sareth United States
Hui-Yi Shiao Taiwan
Ewa Żesławska Poland
Akshay Patny United States
Natesh Singh France
Viktor S. Stroylov relative to Ghermes G. Chilov Russia Ghermes G. Chilov's profile →
Citations per field
00.5×1.5×
Ghermes G. Chilov · 1×
Citations per year

Countries citing papers authored by Viktor S. Stroylov

Since Specialization
Citations

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

Fields of papers citing papers by Viktor S. Stroylov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor S. Stroylov. 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 Viktor S. Stroylov. The network helps show where Viktor S. Stroylov may publish in the future.

Co-authorship network of co-authors of Viktor S. Stroylov

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor S. Stroylov. A scholar is included among the top collaborators of Viktor S. Stroylov 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 Viktor S. Stroylov. Viktor S. Stroylov 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 2
2 4
3 13
4 12
5 10
6 41
7 8
8 23
9 1
10 5
11 5
12 50
13 2
14 3
15 36
16 7
17 26
18 22
19 15
20 20

About Viktor S. Stroylov

Viktor S. Stroylov is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Oncology, having authored 33 papers that have together received 562 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (9 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Computational Theory and Mathematics (165 citations), Toxicology (17 citations) and Hematology (49 citations). Viktor S. Stroylov has collaborated with scholars based in Russia, Iran and Germany. Frequent co-authors include Fedor N. Novikov, Ghermes G. Chilov, Oleg V. Stroganov, Alexey A. Zeifman, Vladimir I. Muronetz, Maria V. Panova, Thomas Haertlé, Boris Brill, Polyxeni Alexiou and Afsar Mian. Their work appears in journals such as Blood, Scientific Reports and FEBS Letters.

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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