Yusuke Moritoh

1.5k citations
32 papers · 1.3k · h-index 19

Impact in

Papers in

Yusuke Moritoh

31 papers receiving 1.2k citations

Peers

Yusuke Moritoh
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 619
  • Surgery 575
  • Molecular Biology 461
  • Genetics 165
  • Cellular and Molecular Neuroscience 100
Replace Qing Dallas-Yang with:
Qing Dallas-Yang United States
Elaine Xu Canada
Bilal A. Omar Sweden
Heather W. Collins United States
Catherine E. Gleason United States
Elizabeth A. Oseid United States
Carol A. Delaney United Kingdom
Siming Liu United States
Alpana Bhattacharjee Canada
Yoshihisa IHARA Japan
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Citations per field
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Citations per year

Countries citing papers authored by Yusuke Moritoh

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Moritoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010222
2 2003130
3 201892
4 200977
5 200865
6 201661
7 202161
8 200758
9 201151
10 200950
11 200944
12 201042
13 200942
14 200833
15 201932
16 202027
17 202126
18 201024
19 202024
20 201919

About Yusuke Moritoh

Yusuke Moritoh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Oncology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Pancreatic function and diabetes (12 papers), Peptidase Inhibition and Analysis (7 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Retinoids in leukemia and cellular processes (2 papers), Diabetes Management and Research (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (619 citations), Surgery (575 citations), Molecular Biology (461 citations), Genetics (165 citations) and Cellular and Molecular Neuroscience (100 citations). Yusuke Moritoh has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Koji Takeuchi, Masanori Watanabe, Osamu Kataoka, Jun‐ichi Miyazaki, Eiji Yamato, Satsuki Miyazaki, Hiroyuki Odaka, Yumiko Yasui, Tomoko Asakawa and Masatoshi Hazama. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Diabetes, Diabetes Obesity and Metabolism, European Journal of Pharmacology and Journal of Medicinal Chemistry.

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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