Vadim Makarov

5.5k total citations
176 papers, 3.3k citations indexed

About

Vadim Makarov is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Vadim Makarov has authored 176 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Epidemiology, 57 papers in Molecular Biology and 54 papers in Infectious Diseases. Recurrent topics in Vadim Makarov's work include Tuberculosis Research and Epidemiology (38 papers), Viral Infections and Immunology Research (24 papers) and Mycobacterium research and diagnosis (23 papers). Vadim Makarov is often cited by papers focused on Tuberculosis Research and Epidemiology (38 papers), Viral Infections and Immunology Research (24 papers) and Mycobacterium research and diagnosis (23 papers). Vadim Makarov collaborates with scholars based in Russia, Germany and United States. Vadim Makarov's co-authors include Michaela Schmidtke, Olga Riabova, Stewart T. Cole, Sean Ekins, O. B. Ryabova, Anthony Vocat, Katarı́na Mikus̃ová, João Neres, Peter Wutzler and Elena G. Salina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Vadim Makarov

162 papers receiving 3.2k citations

Peers

Vadim Makarov
Comparison fields: 5 of 134
  • Molecular Biology 1.5k
  • Infectious Diseases 1.2k
  • Epidemiology 908
  • Organic Chemistry 891
  • Computational Theory and Mathematics 321
Replace Jacob J. Plattner with:
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Jacob J. Plattner United States View profile →
Citations per field, relative to Vadim Makarov
Vadim Makarov · 1×
Citations per year, relative to Vadim Makarov
Vadim Makarov · 1×

Countries citing papers authored by Vadim Makarov

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Makarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Makarov

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Makarov. A scholar is included among the top collaborators of Vadim Makarov 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 Vadim Makarov. Vadim Makarov 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 0
2 9
3 0
4 3
5 2
6 5
7 2
8 4
9 4
10 6
11 3
12 6
13 3
14 52
15
[Evaluation of training efficacy for improving maximal voluntary contraction without noticeable hypertrophy].
2
16 1
17 142
18 3
19 9
20
Atomic and magnetic ordering in tantalates of transitional metals MeTaO 4 (Me=Ti, V,C Cr, Te) with a rutile-like structure
5

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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