Koji Magota

844 total citations
35 papers, 720 citations indexed

About

Koji Magota is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Koji Magota has authored 35 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Physiology. Recurrent topics in Koji Magota's work include ATP Synthase and ATPases Research (14 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Mitochondrial Function and Pathology (8 papers). Koji Magota is often cited by papers focused on ATP Synthase and ATPases Research (14 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Mitochondrial Function and Pathology (8 papers). Koji Magota collaborates with scholars based in Japan and United States. Koji Magota's co-authors include Tomohiro Osanai, Ken Okumura, Hirofumi Tomita, Μakoto Tanaka, Satoko Sasaki, Takao Nakano, Takaatsu Kamada, Tomihiko Higuti, Hirofumi Shibata and Naokatu Arakaki and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Koji Magota

35 papers receiving 692 citations

Peers

Koji Magota
Comparison fields: 5 of 83
  • Molecular Biology 484
  • Cancer Research 156
  • Physiology 105
  • Cardiology and Cardiovascular Medicine 97
  • Genetics 90
Replace Fábio V. Fonseca with:
Fábio V. Fonseca United States
Jun-Ichi Sakamaki Japan
Richard L. Boriack United States
Sadhan Das India
Susmita Chakrabarti United States
Mithu Majumder United States
Maria Teresa Rizzo United States
Albert Hagelgans Germany
Makoto Nishizuka Japan
Fábio V. Fonseca United States View profile →
Citations per field, relative to Koji Magota
Koji Magota · 1×
Citations per year, relative to Koji Magota
Koji Magota · 1×

Countries citing papers authored by Koji Magota

Since Specialization
Citations

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

Fields of papers citing papers by Koji Magota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Magota

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Magota. A scholar is included among the top collaborators of Koji Magota 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 Koji Magota. Koji Magota 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 9
2 11
3 15
4 14
5 19
6 14
7 6
8
Generation and Characterization of Coupling Factor 6-Overexpressing Transgenic Mice
2
9 5
10 4
11 18
12 19
13 29
14 45
15 23
16 35
17 30
18 20
19 47
20 40

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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