Hiroyuki Motoshima

11.9k citations
97 papers · 9.7k indexed · 1 hit paper · h-index 35

Hiroyuki Motoshima

94 papers receiving 9.4k citations

Hit Papers

Crystal Structure of Rhodopsin: A G Protein-Coupled Receptor4.6k200020262008201710002.0k3.0k4.0k

Peers

Hiroyuki Motoshima
Comparison fields: 5 of 139
  • Cellular and Molecular Neuroscience 2.9k
  • Molecular Biology 6.5k
  • Endocrine and Autonomic Systems 542
  • Physiology 1.7k
  • Physiology 245
Replace Wolfgang F. Graier with:
Wolfgang F. Graier Austria
Manuel Palacı́n Spain
Thomas N. Seyfried United States
Joan Heller Brown United States
Hisashi Hidaka Japan
Zhihong Huang China
Weiping Han Singapore
Howard A. Rockman United States
Marc Yudkoff United States
Stefan Bröer Australia
Hiroyuki Motoshima relative to Wolfgang F. Graier Austria Wolfgang F. Graier's profile →
Citations per field
00.5×1.5×2.2×
Wolfgang F. Graier · 1×
Citations per year

Countries citing papers authored by Hiroyuki Motoshima

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Motoshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 202020
4 20194
5 201610
6 201422
7
Cloning, expression and purification of cold adapted acetate kinase from Shewanella species AS-11
20121
8 201237
9 20109
10 200858
11 20088
12 200736
13 200773
14 200529
15 200344
16 200219
17 200115
18
Crystal Structure of Rhodopsin: A G Protein-Coupled Receptorbreakdown →
20004567
19 200051
20 200044

About Hiroyuki Motoshima

Hiroyuki Motoshima is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Physiology, having authored 97 papers that have together received 9.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Metabolism, Diabetes, and Cancer (20 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Enzyme Structure and Function (15 papers), Pancreatic function and diabetes (15 papers), Protein Structure and Dynamics (12 papers), Peroxisome Proliferator-Activated Receptors (10 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Molecular Biology (6.5k citations) and Endocrine and Autonomic Systems (542 citations). Hiroyuki Motoshima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Barry J. Goldstein, Takashi Kumasaka, Ronald E. Stenkamp, Krzysztof Palczewski, Craig A. Behnke, Tetsuya Hori, David C. Teller, Tetsuji Okada, Brian A. Fox and Masaki Yamamoto. Their work appears in journals such as Science, Journal of Biological Chemistry and PLoS ONE.

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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