Mai Fujimoto

1.1k total citations
51 papers, 876 citations indexed

About

Mai Fujimoto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Mai Fujimoto has authored 51 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Genetics. Recurrent topics in Mai Fujimoto's work include Pharmacovigilance and Adverse Drug Reactions (7 papers), Heterotopic Ossification and Related Conditions (6 papers) and Computational Drug Discovery Methods (5 papers). Mai Fujimoto is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (7 papers), Heterotopic Ossification and Related Conditions (6 papers) and Computational Drug Discovery Methods (5 papers). Mai Fujimoto collaborates with scholars based in Japan, United States and United Kingdom. Mai Fujimoto's co-authors include Kouichi Hosomi, Mitsutaka Takada, Hiroshi Hatayama, Hideharu Kanzaki, Jun Fujita, Kenji Kojima, Mieko Iwai, Bruce E. Wexler, Michael J. Kurtz and James C. Seltzer and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mai Fujimoto

47 papers receiving 866 citations

Peers

Mai Fujimoto
Comparison fields: 5 of 113
  • Molecular Biology 260
  • Immunology 185
  • Genetics 129
  • Psychiatry and Mental health 117
  • Reproductive Medicine 103
Replace Gilles Edan with:
Gilles Edan France
Dorothea Fischer Germany
Patricia Blanco United Kingdom
Philippe Lluel France
Adam B. Hittelman United States
Lisa Nguyen United States
Brenda Crowe United States
Birgit Svenstrup Denmark
Chao Sheng China
John L. Mershon United States
Gilles Edan France View profile →
Citations per field, relative to Mai Fujimoto
Mai Fujimoto · 1×
Citations per year, relative to Mai Fujimoto
Mai Fujimoto · 1×

Countries citing papers authored by Mai Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Mai Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Fujimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Fujimoto. A scholar is included among the top collaborators of Mai Fujimoto 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 Mai Fujimoto. Mai Fujimoto 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 1
2 2
3 1
4 26
5 18
6 1
7 8
8 5
9 26
10 1
11 2
12 41
13 23
14 1
15 6
16 43
17 71
18 1
19 23
20 4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026