Koji Oida

50 papers receiving 1.4k citations

Peers

Koji Oida
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 400
  • Internal Medicine 79
  • Cardiology and Cardiovascular Medicine 462
  • Cancer Research 216
  • Surgery 588
Replace Keiji Takazoe with:
Keiji Takazoe Japan
Glenna L. Fry United States
Chiara Cuccurullo Italy
Annalisa Iezzi Italy
Peter Båvenholm Sweden
Boris Ivandic Germany
Bang‐Dang Chen China
Gertie Gorter Netherlands
P Költringer Austria
Giovanni Cimmino Italy
Koji Oida relative to Keiji Takazoe Japan Keiji Takazoe's profile →
Citations per field
00.5×1.5×2.3×
Keiji Takazoe · 1×
Citations per year

Countries citing papers authored by Koji Oida

Since Specialization
Citations

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

Fields of papers citing papers by Koji Oida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995198
2 1992155
3 2011150
4 200395
5 199986
6 198869
7 199269
8 199859
9 200153
10 200346
11 199543
12 199631
13 200331
14 199028
15
Plasma lipoproteins of monosodium glutamate-induced obese rats.
198428
16 200926
17 199426
18 199423
19 200321
20 199218

About Koji Oida

Koji Oida is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Hematology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Lipoproteins and Cardiovascular Health (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Adipose Tissue and Metabolism (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (400 citations), Internal Medicine (79 citations), Cardiology and Cardiovascular Medicine (462 citations), Cancer Research (216 citations) and Surgery (588 citations). Koji Oida has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Jinya Suzuki, Toshitaka TAMAI, Susumu Miyabo, Sadao Takahashi, Tsuguhiko NAKAI, Isamu Miyamori, Hidemi Ishii, Tokuo Yamamoto, Hideo Kanehara and Gen Tohda. Their work appears in journals such as Thrombosis Research, Journal of Lipid Research, Journal of Cardiovascular Pharmacology, Diabetes Care and Journal of Atherosclerosis and Thrombosis.

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.

Explore authors with similar magnitude of impact