Chie Ohmura

720 citations
25 papers · 465 · h-index 13

Impact in

Papers in

Chie Ohmura

24 papers receiving 446 citations

Peers

Chie Ohmura
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 161
  • Sensory Systems 39
  • Clinical Biochemistry 47
  • Cardiology and Cardiovascular Medicine 68
  • Physiology 57
Replace Yunfei Pu with:
Yunfei Pu China
Alberto Sánchez‐Ferrer Spain
Claudia I. Caldiz Argentina
Suzan Tabur Türkiye
Malek Kechrid United States
Gustavo Pastelín-Hernández Mexico
Vladimír Knezl Slovakia
Xuemei Wang China
Nóra Erdei Hungary
Karla Posch Austria
Chie Ohmura relative to Yunfei Pu China Yunfei Pu's profile →
Citations per field
00.5×2.8×
Yunfei Pu · 1×
Citations per year

Countries citing papers authored by Chie Ohmura

Since Specialization
Citations

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

Fields of papers citing papers by Chie Ohmura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199972
2 201161
3 201442
4 200130
5 200428
6 200928
7 200524
8 200419
9 201719
10 200318
11 200513
12 199813
13 201312
14 200712
15 201211
16 201410
17 202110
18 20189
19 20158
20 20158

About Chie Ohmura

Chie Ohmura is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Clinical Biochemistry, having authored 25 papers that have together received 465 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Diabetes Management and Research (6 papers), Advanced Glycation End Products research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Health and Disease Prevention (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (161 citations), Sensory Systems (39 citations), Clinical Biochemistry (47 citations), Cardiology and Cardiovascular Medicine (68 citations) and Physiology (57 citations). Chie Ohmura has collaborated with scholars based in Japan. Frequent co-authors include Ryuzo Kawamori, Yasushi Tanaka, Hirotaka Watada, Tomoaki Shimizu, Tomio Onuma, Hiroshi Uchino, Akio Kanazawa, Takahisa Hirose, Hidenori Yoshii and Tomoya Mita. Their work appears in journals such as Diabetes Research and Clinical Practice, Journal of Diabetes Investigation, PLoS ONE, Diabetes Care and Expert Opinion on Pharmacotherapy.

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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