Yosuke Mori

607 citations
20 papers · 521 · h-index 12

Impact in

Papers in

Yosuke Mori

19 papers receiving 488 citations

Peers

Yosuke Mori
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 216
  • Nephrology 41
  • Endocrinology, Diabetes and Metabolism 87
  • Cardiology and Cardiovascular Medicine 103
  • Molecular Biology 196
Replace Samuel N. Saltzberg with:
Samuel N. Saltzberg United States
Jean‐Michel Garel France
Natalie Cambon United States
Kyung Hwan Seul South Korea
Charles A. Klanke United States
Paulo Sebastian Caceres United States
Anie Azroyan France
Ferdinand A. C. le Noble Netherlands
Erin Plummer New Zealand
Yosuke Mori relative to Samuel N. Saltzberg United States Samuel N. Saltzberg's profile →
Citations per field
00.5×2×4×5.3×
Samuel N. Saltzberg · 1×
Citations per year

Countries citing papers authored by Yosuke Mori

Since Specialization
Citations

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

Fields of papers citing papers by Yosuke Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200486
2 200275
3 200354
4 200347
5 201136
6 200336
7 200334
8 200432
9 200232
10 200325
11 200817
12 200215
13 200412
14 20227
15 20144
16 20044
17 20242
18 20222
19 20001
20 19960

About Yosuke Mori

Yosuke Mori is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Gastroenterology, Process Chemistry and Technology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 521 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Renin-Angiotensin System Studies (1 paper), Plant Reproductive Biology (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (216 citations), Nephrology (41 citations), Endocrinology, Diabetes and Metabolism (87 citations), Cardiology and Cardiovascular Medicine (103 citations) and Molecular Biology (196 citations). Yosuke Mori has collaborated with scholars based in Japan and Brunei. Frequent co-authors include Toshio Nishikimi, Hiroaki Matsuoka, Kazuyoshi Tadokoro, Kazumi Akimoto, Kenji Kangawa, Fumiki Yoshihara, Xin Wang, Naohiko Kobayashi, Naoto Minamino and Hidehiko Ono. Their work appears in journals such as Hypertension, Journal of Hypertension, Regulatory Peptides, Pathogens and The American Journal of Medicine.

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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