Tetsuo Hashimoto

7.9k citations
174 papers · 4.2k · h-index 38

Impact in

  • Parasitology top 0.5%
    • Parasitic Infections and Diagnostics
  • Ecology top 2%
    • Microbial Community Ecology and Physiology

Papers in

    • Protist diversity and phylogeny 44
    • Genomics and Phylogenetic Studies 42
    • RNA and protein synthesis mechanisms 8
    • RNA modifications and cancer 7
    • Parasitic Infections and Diagnostics 32

Tetsuo Hashimoto

170 papers receiving 4.1k citations

Peers

Tetsuo Hashimoto
Comparison fields: 5 of 145
  • Parasitology 896
  • Ecology 929
  • Molecular Biology 2.0k
  • Cardiology and Cardiovascular Medicine 556
  • Infectious Diseases 343
Replace Lei Sun with:
Lei Sun China
Jaap J. van Hellemond Netherlands
Gérard Zurawski United States
Maria C. Rivera Peru
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Scott W. Wong United States
Alan M. Johnson United States
Timothy W. Nilsen United States
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Tetsuo Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuo Hashimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsuo Hashimoto Line = papers co-authored together Tetsuo Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013167
2 2009155
3 1993133
4 1997122
5 1998108
6 199691
7 198889
8 200389
9 201885
10 200477
11 201771
12 198871
13 200270
14 198570
15 199368
16 200567
17 201463
18 200458
19 199656
20 200255

About Tetsuo Hashimoto

Tetsuo Hashimoto is a scholar working on Molecular Biology, Parasitology, Ecology, Surgery and Oncology, having authored 174 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (44 papers), Genomics and Phylogenetic Studies (42 papers), Parasitic Infections and Diagnostics (32 papers), Microbial Community Ecology and Physiology (26 papers), Cardiac Imaging and Diagnostics (12 papers), Amoebic Infections and Treatments (11 papers), RNA and protein synthesis mechanisms (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Parasitology (896 citations), Ecology (929 citations), Molecular Biology (2.0k citations), Cardiology and Cardiovascular Medicine (556 citations) and Infectious Diseases (343 citations). Tetsuo Hashimoto has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Nobuko Arisue, Masami Hasegawa, Yuji Inagaki, Ryoma Kamikawa, Miklós Müller, Akinori Yabuki, Lidya B. Sánchez, Goro Tanifuji, Jun Adachi and Ken‐ichiro Ishida. Their work appears in journals such as Journal of Molecular Evolution, Protist, Genome Biology and Evolution, Gene and The American Journal of Cardiology.

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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