Mikhail Akimov

3.7k citations
78 papers · 1.5k indexed · h-index 21
Topics
Lung Cancer Treatments and Mutations (20 papers)Heat shock proteins research (12 papers)Cannabis and Cannabinoid Research (9 papers)

In The Last Decade

Mikhail Akimov

74 papers receiving 1.4k citations

Peers

Mikhail Akimov
Comparison fields: 5 of 99
  • Molecular Biology 748
  • Pulmonary and Respiratory Medicine 599
  • Oncology 478
  • Hepatology 197
  • Cancer Research 186
Replace Paula Kaplan‐Lefko with:
Paula Kaplan‐Lefko United States
Barbara Mroczkowski United States
Sébastien Jeay Switzerland
Sven A. Lang Germany
Sheng-Chieh Hsu Taiwan
Elaine S. E. Stokes United Kingdom
Zong‐Tao Chai China
Amanda J. Craig United States
Ken Takezawa Japan
Carolyn Cao United States
Mikhail Akimov relative to Paula Kaplan‐Lefko United States Paula Kaplan‐Lefko's profile →
Citations per field
00.5×3.0×
Paula Kaplan‐Lefko · 1×
Citations per year

Countries citing papers authored by Mikhail Akimov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Akimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Akimov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Akimov. A scholar is included among the top collaborators of Mikhail Akimov 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 Akimov. Mikhail Akimov 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 9
3 8
4 0
5 1
6 72
7 10
8 3
9 6
10 10
11 6
12 1
13 11
14 5
15 95
16
Some aspects of the mechanism of cell death induction by the lipids of N-acyl dopamine family in the PC12 cancer cell line
4
17 119
18 58
19 9
20 2

About Mikhail Akimov

Mikhail Akimov is a scholar working on Oncology, Biochemistry and Pulmonary and Respiratory Medicine, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (20 papers), Heat shock proteins research (12 papers) and Cannabis and Cannabinoid Research (9 papers). The work is most often cited by research in Hepatology (197 citations), Pulmonary and Respiratory Medicine (599 citations) and Oncology (478 citations). Mikhail Akimov has collaborated with scholars based in Russia, Switzerland and United States. Frequent co-authors include Enriqueta Felip, В. В. Безуглов, N. M. Gretskaya, Wu‐Chou Su, Sylvia Zhao, Yi‐Long Wu, Bin Peng, Dae Ho Lee, James Chih‐Hsin Yang and Myung‐Ju Ahn. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

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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