Tetsuhiro Fujimoto

689 citations
15 papers · 576 indexed · h-index 11
Topics
Zebrafish Biomedical Research Applications (10 papers)Immune cells in cancer (5 papers)Acute Myeloid Leukemia Research (3 papers)
Partner nations
JapanItalyUnited States

In The Last Decade

Tetsuhiro Fujimoto

15 papers receiving 574 citations

Peers

Tetsuhiro Fujimoto
Comparison fields: 5 of 57
  • Molecular Biology 367
  • Cell Biology 294
  • Hematology 201
  • Immunology 150
  • Cancer Research 81
Replace JE Visvader with:
JE Visvader Australia
Patricia Sousa United States
Aline M. Morrison Austria
Jean-Charles Boisset Netherlands
Anna Liakhovitskaia United Kingdom
Wade Nottingham United Kingdom
Yi-Fen Lu United States
Thomas Bee United Kingdom
Parham Solaimani Kartalaei Netherlands
Peter G. Kim United States
Tetsuhiro Fujimoto relative to JE Visvader Australia JE Visvader's profile →
Citations per field
00.5×5.8×
JE Visvader · 1×
Citations per year

Countries citing papers authored by Tetsuhiro Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuhiro Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuhiro Fujimoto

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 9
2 15
3 12
4 28
5 4
6 64
7 35
8 82
9 22
10 60
11 148
12 12
13 79
14 5
15
CD4+ CD8+ granular lymphocytic leukemia arising in a patient with acute myeloblastic leukemia.
1

About Tetsuhiro Fujimoto

Tetsuhiro Fujimoto is a scholar working on Cell Biology, Hematology and Immunology, having authored 15 papers that have together received 576 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Immune cells in cancer (5 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (201 citations), Cell Biology (294 citations) and Immunology (150 citations). Tetsuhiro Fujimoto has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Minetaro Ogawa, Satomi Nishikawa, Shin‐Ichi Nishikawa, Tomomasa Yokomizo, Shin-Ichi Nishikawa, Hisahiro Yoshida, Naoko Minegishi, Masayuki Yamamoto, Stuart T. Fraser and Hiroaki Kodama. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications and Immunological Reviews.

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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