Tetsuo Udono

23 papers receiving 1.5k citations

Peers

Tetsuo Udono
Comparison fields: 5 of 81
  • Cell Biology 781
  • Sensory Systems 119
  • Nutrition and Dietetics 333
  • Ophthalmology 119
  • Dermatology 120
Replace Sikha Ghosh with:
Sikha Ghosh United States
Erez Feige Israel
Hiroshi Ueda Japan
Kazuhiko Horigome Japan
Gennadiy Moiseyev United States
Kimberly A. Meyers United States
Richard C. Stahl United States
Gary Meyer United States
Hans Rosenfeldt United States
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Tetsuo Udono

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Udono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000279
2 2003206
3 2001155
4 1998126
5 2000121
6 199981
7 200078
8 200277
9 199872
10 200255
11
Adrenomedullin in cultured human retinal pigment epithelial cells.
200046
12
Induction of adrenomedullin by hypoxia in cultured retinal pigment epithelial cells.
200140
13 200339
14 200326
15 200320
16 200020
17 199919
18 200418
19 200117
20 200016

About Tetsuo Udono

Tetsuo Udono is a scholar working on Cell Biology, Molecular Biology, Nutrition and Dietetics, Cellular and Molecular Neuroscience and Ophthalmology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include melanin and skin pigmentation (13 papers), Biochemical Analysis and Sensing Techniques (8 papers), RNA regulation and disease (7 papers), Neuropeptides and Animal Physiology (6 papers), Retinal and Optic Conditions (2 papers), Receptor Mechanisms and Signaling (2 papers), Circadian rhythm and melatonin (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Cell Biology (781 citations), Sensory Systems (119 citations), Nutrition and Dietetics (333 citations), Ophthalmology (119 citations) and Dermatology (120 citations). Tetsuo Udono has collaborated with scholars based in Japan and United States. Frequent co-authors include Shigeki Shibahara, Kazuhiro Takahashi, Ken‐ichi Yasumoto, Kazuhisa Takeda, Hideo Saitô, Kenichi Watanabe, Makoto Tamai, Shintaro Amae, Nobuo Fuse and Shinji Takada. Their work appears in journals such as American Journal of Ophthalmology, Biochemical and Biophysical Research Communications, Experimental Eye Research, Journal of Investigative Dermatology Symposium Proceedings and Regulatory Peptides.

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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