Mikhail M. Dikov

85 total papers · 2.5k total citations
31 papers, 1.9k citations indexed

About

Mikhail M. Dikov is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mikhail M. Dikov has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Immunology. Recurrent topics in Mikhail M. Dikov's work include Adenosine and Purinergic Signaling (8 papers), Cancer Cells and Metastasis (6 papers) and Ion Transport and Channel Regulation (5 papers). Mikhail M. Dikov is often cited by papers focused on Adenosine and Purinergic Signaling (8 papers), Cancer Cells and Metastasis (6 papers) and Ion Transport and Channel Regulation (5 papers). Mikhail M. Dikov collaborates with scholars based in United States, South Korea and Japan. Mikhail M. Dikov's co-authors include David P. Carbone, Sergey V. Novitskiy, Sergey Ryzhov, Italo Biaggioni, Igor Feoktistov, Anna E. Goldstein, Yuhui Huang, Michael R. Blackburn, Rinat Zaynagetdinov and Elena E. Tchekneva and has published in prestigious journals such as Blood, The Journal of Immunology and Gastroenterology.

In The Last Decade

Mikhail M. Dikov

31 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mikhail M. Dikov 867 681 603 484 241 31 1.9k
Michael K.K. Wong 928 1.1× 552 0.8× 566 0.9× 522 1.1× 389 1.6× 24 2.0k
Míriam Molina‐Arcas 1.4k 1.6× 340 0.5× 1.3k 2.2× 456 0.9× 305 1.3× 49 2.8k
Emily R. Eden 1.6k 1.9× 253 0.4× 277 0.5× 587 1.2× 310 1.3× 42 2.9k
Amanda Littlewood‐Evans 1.4k 1.6× 574 0.8× 405 0.7× 90 0.2× 293 1.2× 30 2.3k
Elliott Schiffmann 1.3k 1.5× 291 0.4× 332 0.6× 85 0.2× 183 0.8× 33 2.0k
Kris F. Sachsenmeier 661 0.8× 563 0.8× 738 1.2× 632 1.3× 108 0.4× 46 1.7k
W A Grasser 1.4k 1.6× 230 0.3× 1.3k 2.2× 183 0.4× 105 0.4× 33 3.0k
Melania Capasso 1.2k 1.4× 1.1k 1.6× 1.0k 1.7× 101 0.2× 488 2.0× 33 3.0k
Jochen Knolle 1.1k 1.3× 376 0.6× 310 0.5× 125 0.3× 106 0.4× 57 2.6k
Weiliang Xia 1.4k 1.7× 187 0.3× 488 0.8× 138 0.3× 383 1.6× 48 2.7k

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-authorship network of co-authors of Mikhail M. Dikov

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

All Works

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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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