Daichi Utsumi

21 papers receiving 502 citations

Peers

Daichi Utsumi
Comparison fields: 5 of 91
  • Sensory Systems 68
  • Gastroenterology 42
  • Otorhinolaryngology 32
  • Pulmonary and Respiratory Medicine 136
  • Biological Psychiatry 8
Replace Kenjiro Matsumoto with:
Kenjiro Matsumoto Japan
Makoto Kudo Japan
Nabile Boukhettala France
Karolyn G. Lahue United States
Laura Calosi Italy
Dirk Schäfer Germany
Qiaoli Chen China
Marion Brollo France
Charlotte Abrial France
Béla Hunyady Hungary
Daichi Utsumi relative to Kenjiro Matsumoto Japan Kenjiro Matsumoto's profile →
Citations per field
00.5×1.5×
Kenjiro Matsumoto · 1×
Citations per year

Countries citing papers authored by Daichi Utsumi

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Utsumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201268
2 201555
3 201251
4 201650
5 201748
6 201742
7 201833
8 201624
9 202123
10 201921
11
Lafutidine, a histamine H2 receptor antagonist with mucosal protective properties, attenuates 5-fluorouracil-induced intestinal mucositis in mice through activation of extrinsic primary afferent neurons.
201721
12 202218
13 201816
14 201911
15 20229
16 20225
17 20225
18 20204
19 20241
20 20211

About Daichi Utsumi

Daichi Utsumi is a scholar working on Sensory Systems, Physiology, Pulmonary and Respiratory Medicine, Immunology and Allergy and Molecular Biology, having authored 21 papers that have together received 507 indexed citations. Recurring topics across this work include Ion Channels and Receptors (5 papers), Oral health in cancer treatment (4 papers), Allergic Rhinitis and Sensitization (3 papers), Asthma and respiratory diseases (3 papers), Dermatology and Skin Diseases (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer therapeutics and mechanisms (2 papers) and Food Allergy and Anaphylaxis Research (2 papers). The work is most often cited by research in Sensory Systems (68 citations), Gastroenterology (42 citations), Otorhinolaryngology (32 citations), Pulmonary and Respiratory Medicine (136 citations) and Biological Psychiatry (8 citations). Daichi Utsumi has collaborated with scholars based in Japan and United States. Frequent co-authors include Shinichi Kato, Kikuko Amagase, Kenjiro Matsumoto, Makoto Tominaga, Syunji Horie, Naoki Yamanaka, Koji Takeuchi, Chihiro Yabe‐Nishimura, S. Horie and K Iwata. Their work appears in journals such as British Journal of Pharmacology, International Immunopharmacology, Journal of Pharmacological Sciences, American Journal of Physiology-Gastrointestinal and Liver Physiology and Current Protein and Peptide Science.

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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