Ryu Kobayashi

843 citations
48 papers · 685 · h-index 15

Impact in

Papers in

Ryu Kobayashi

47 papers receiving 678 citations

Peers

Ryu Kobayashi
Comparison fields: 5 of 74
  • Nephrology 100
  • Cardiology and Cardiovascular Medicine 247
  • Endocrinology, Diabetes and Metabolism 175
  • Pharmacology 81
  • Aging 9
Replace Kazushi Uneda with:
Kazushi Uneda Japan
Toru Dejima Japan
Tomohiko Kanaoka Japan
Sona Haku Japan
Luis Celso Matavelli United States
So Ra Kim South Korea
Marjo Tamminen Finland
Renzo De Toni Italy
Satomi Shibazaki Japan
Samer J. Khouri United States
Ryu Kobayashi relative to Kazushi Uneda Japan Kazushi Uneda's profile →
Citations per field
00.5×1.5×
Kazushi Uneda · 1×
Citations per year

Countries citing papers authored by Ryu Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201356
2 201449
3 201545
4 201736
5 201735
6 201933
7 202232
8 201731
9 201827
10 201325
11 201521
12 201820
13 202019
14 202218
15 201316
16 201915
17 201515
18 201413
19 201411
20 201411

About Ryu Kobayashi

Ryu Kobayashi is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 48 papers that have together received 685 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (13 papers), Hormonal Regulation and Hypertension (7 papers), Blood Pressure and Hypertension Studies (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Regulation of Appetite and Obesity (3 papers) and Dialysis and Renal Disease Management (3 papers). The work is most often cited by research in Nephrology (100 citations), Cardiology and Cardiovascular Medicine (247 citations), Endocrinology, Diabetes and Metabolism (175 citations), Pharmacology (81 citations) and Aging (9 citations). Ryu Kobayashi has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Kouichi Tamura, Hiromichi Wakui, Kengo Azushima, Kazushi Uneda, Akio Yamashita, Satoshi Umemura, Masato Ohsawa, Tomohiko Kanaoka, Sho Kinguchi and Miyuki Matsuda. Their work appears in journals such as Journal of the American Heart Association, International Journal of Molecular Sciences, Scientific Reports, Hypertension Research and Kidney International.

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