Hiroshi Ueda

14.8k citations
510 papers · 13.0k · h-index 57

Impact in

Papers in

Hiroshi Ueda

496 papers receiving 12.5k citations

Peers

Hiroshi Ueda
Comparison fields: 5 of 152
  • Cellular and Molecular Neuroscience 5.1k
  • Physiology 4.5k
  • Sensory Systems 490
  • Endocrine and Autonomic Systems 638
  • Molecular Biology 6.4k
Replace Richard M. Eglen with:
Richard M. Eglen United States
John C. Hunter United States
Hiroshi Takagi Japan
Michael G. Costigan United States
Ian J. Reynolds United States
S H Snyder United States
Antonio G. Garcı́a Spain
Akinori Akaike Japan
PierFranco Spano Italy
Manuel Guzmán Spain
Hiroshi Ueda relative to Richard M. Eglen United States Richard M. Eglen's profile →
Citations per field
00.5×1.5×1.8×
Richard M. Eglen · 1×
Citations per year

Countries citing papers authored by Hiroshi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 510 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004466
2 2002257
3 1979227
4 2005202
5 2010169
6 2002163
7 1979155
8 2008135
9 1997127
10 2006126
11 2003122
12 2008117
13 1979113
14 2000112
15 1999110
16 2004110
17 2004109
18 2003108
19 1996106
20 1986104

About Hiroshi Ueda

Hiroshi Ueda is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 510 papers that have together received 13.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (137 papers), Neuropeptides and Animal Physiology (128 papers), Receptor Mechanisms and Signaling (86 papers), Neuroscience and Neuropharmacology Research (66 papers), Sphingolipid Metabolism and Signaling (41 papers), Ion channel regulation and function (28 papers), Animal Nutrition and Physiology (25 papers) and Pharmacological Receptor Mechanisms and Effects (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.1k citations), Physiology (4.5k citations), Sensory Systems (490 citations), Endocrine and Autonomic Systems (638 citations) and Molecular Biology (6.4k citations). Hiroshi Ueda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Makoto Inoue, Hiroshi Takagi, Hitoshi Uchida, Ryousuke Fujita, Harunor Rashid, Hirohito Shiomi, Jerold Chun, Masatoshi Yamazaki, Jun Nagai and Chikako Yamazaki. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Neurochemistry, Molecular Pain, Peptides and Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology.

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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