Mikhail M. Dikov

2.5k citations
33 papers · 2.0k · h-index 20

Impact in

  • Physiology top 0.5%
    • Adenosine and Purinergic Signaling
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Ion Transport and Channel Regulation 5
    • Histone Deacetylase Inhibitors Research 3
    • Cancer Cells and Metastasis 5
    • Cancer Immunotherapy and Biomarkers 2

Mikhail M. Dikov

32 papers receiving 2.0k citations

Peers

Mikhail M. Dikov
Comparison fields: 5 of 104
  • Physiology 502
  • Immunology 671
  • Oncology 539
  • Cancer Research 210
  • Molecular Biology 829
Replace Michael K.K. Wong with:
Michael K.K. Wong United States
Amanda Littlewood‐Evans Switzerland
Atsushi Kasamatsu Japan
Bertrand Allard Canada
Ahmed Hamaï France
Danilo Marimpietri Italy
Alejandro Villagra United States
Douglas E. Biancur United States
Paul A. Beavis Australia
Michael Dewaele Belgium
Mikhail M. Dikov relative to Michael K.K. Wong United States Michael K.K. Wong's profile →
Citations per field
00.5×1.6×
Michael K.K. Wong · 1×
Citations per year

Countries citing papers authored by Mikhail M. Dikov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail M. Dikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mikhail M. Dikov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mikhail M. Dikov Line = papers co-authored together Mikhail M. Dikov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008358
2 2011226
3 2005210
4 2007198
5 2008133
6 2008109
7 201788
8 200278
9 200867
10 201164
11 200263
12 201056
13 201347
14 201547
15 200843
16 200441
17 201937
18 201531
19 201327
20 201920

About Mikhail M. Dikov

Mikhail M. Dikov is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Surgery, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (9 papers), Ion Transport and Channel Regulation (5 papers), Cancer Cells and Metastasis (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Pancreatic function and diabetes (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Physiology (502 citations), Immunology (671 citations), Oncology (539 citations), Cancer Research (210 citations) and Molecular Biology (829 citations). Mikhail M. Dikov has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include David P. Carbone, Sergey V. Novitskiy, Sergey Ryzhov, Igor Feoktistov, Anna E. Goldstein, Italo Biaggioni, Yuhui Huang, Michael R. Blackburn, Rinat Zaynagetdinov and Elena E. Tchekneva. Their work appears in journals such as Cancer Research, The Journal of Immunology, Blood, Journal of Thoracic Oncology and American Journal of Physiology-Renal Physiology.

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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