Tetsuya Ikeda

3.8k citations
155 papers · 3.0k · h-index 29

Impact in

Papers in

Tetsuya Ikeda

142 papers receiving 2.9k citations

Peers

Tetsuya Ikeda
Comparison fields: 5 of 162
  • Endocrinology 290
  • Cellular and Molecular Neuroscience 594
  • Orthodontics 127
  • Otorhinolaryngology 104
  • Physiology 615
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Fen Hu China
David A. Scott United States
Noriko Suzuki Japan
Kenji Matsushita Japan
Björn Andersson Sweden
Hye Young Kim South Korea
Shinji Nakamura Japan
Robert W. Crawford United States
John H. Lee United States
Christopher R. Weber United States
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Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuya Ikeda, 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 Tetsuya Ikeda Line = papers co-authored together Tetsuya Ikeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002216
2 1995188
3 2007174
4 2005173
5 2004152
6 2007104
7 201594
8 200075
9 199871
10 201570
11 200462
12 200559
13 200556
14 201753
15 199950
16 199947
17 201246
18 200343
19 200543
20 200841

About Tetsuya Ikeda

Tetsuya Ikeda is a scholar working on Cellular and Molecular Neuroscience, Physiology, Surgery, Endocrinology and Molecular Biology, having authored 155 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (20 papers), Salmonella and Campylobacter epidemiology (15 papers), Escherichia coli research studies (14 papers), Viral gastroenteritis research and epidemiology (13 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Receptor Mechanisms and Signaling (6 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Endocrinology (290 citations), Cellular and Molecular Neuroscience (594 citations), Orthodontics (127 citations), Otorhinolaryngology (104 citations) and Physiology (615 citations). Tetsuya Ikeda has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Toshikazu Nishimori, Sou‐ichi Makino, Keiji Yamaguchi, Ronald Dubner, Wei Guo, Shiping Zou, Yoshihisa Shinagawa, Minoru Ueda, Tosiyasu L. Kunii and Ke Ren. Their work appears in journals such as Neuroscience Research, Brain Research, Biochemical and Biophysical Research Communications, European Journal of Pharmacology and Foodborne Pathogens and Disease.

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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