V. S. Shapot

529 total citations
43 papers, 420 citations indexed

About

V. S. Shapot is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, V. S. Shapot has authored 43 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Materials Chemistry. Recurrent topics in V. S. Shapot's work include DNA and Nucleic Acid Chemistry (9 papers), RNA and protein synthesis mechanisms (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). V. S. Shapot is often cited by papers focused on DNA and Nucleic Acid Chemistry (9 papers), RNA and protein synthesis mechanisms (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). V. S. Shapot collaborates with scholars based in United Kingdom, Russia and United States. V. S. Shapot's co-authors include A. V. Lichtenstein, Henry C. Pitot, Н.П. Родионова, Victor Adler, Nikolai Mironov, Victor V. Lobanenkov, A.M. Poverenny, Е. С. Герштейн, Tatyana B. Prigozhina and Olga Drize and has published in prestigious journals such as Nucleic Acids Research, Biochemical Journal and FEBS Letters.

In The Last Decade

V. S. Shapot

39 papers receiving 365 citations

Peers

V. S. Shapot
Comparison fields: 5 of 73
  • Molecular Biology 263
  • Cancer Research 108
  • Physiology 103
  • Oncology 51
  • Cell Biology 44
Replace Howard Gershman with:
Howard Gershman United States
C.J. Chern United States
Barbara Nevaldine United States
Michele A. Cimbala United States
C. Nadal France
T Rajkumar India
Jary S. Mayes United States
Tetsuji Nagata Japan
Charles A. Fernandez United States
Z Albert Poland
Howard Gershman United States View profile →
Citations per field, relative to V. S. Shapot
V. S. Shapot · 1×
Citations per year, relative to V. S. Shapot
V. S. Shapot · 1×

Countries citing papers authored by V. S. Shapot

Since Specialization
Citations

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

Fields of papers citing papers by V. S. Shapot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. S. Shapot

This figure shows the co-authorship network connecting the top 25 collaborators of V. S. Shapot. A scholar is included among the top collaborators of V. S. Shapot 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 V. S. Shapot. V. S. Shapot 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
# Work Indexed citations
1
[Tumor growth: tissue, cells, molecules].
1
2
[Identification of the stable DNA-matrix complex (type II) as a site of replication fork].
1
3 1
4 2
5 61
6 4
7
[Characteristics of the mRNA for tyrosine aminotransferase].
0
8 1
9 1
10 1
11 1
12
Blood glucose levels and gluconeogenesis in animals bearing transplantable tumors.
52
13 70
14 8
15 15
16 5
17 2
18 9
19 10
20 29

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026