Sho Kinguchi

881 citations
52 papers · 572 · h-index 16

Impact in

Papers in

Sho Kinguchi

50 papers receiving 566 citations

Peers

Sho Kinguchi
Comparison fields: 5 of 70
  • Nephrology 121
  • Endocrinology, Diabetes and Metabolism 126
  • Cardiology and Cardiovascular Medicine 135
  • Aging 8
  • Pharmacology 21
Replace Ryu Kobayashi with:
Ryu Kobayashi Japan
Kotaro Haruhara Japan
Tomohiko Kanaoka Japan
Takahiro Yamaji Japan
Shintaro Minegishi Japan
Sofia Miceli Italy
Mustafa Kinaan United States
Aneliya Parvanova Italy
M Rossini Italy
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Sho Kinguchi relative to Ryu Kobayashi Japan Ryu Kobayashi's profile →
Citations per field
00.5×1.5×2.4×
Ryu Kobayashi · 1×
Citations per year

Countries citing papers authored by Sho Kinguchi

Since Specialization
Citations

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

Fields of papers citing papers by Sho Kinguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202154
2 201736
3 201732
4 202132
5 202130
6 201729
7 201826
8 202124
9 202221
10 201819
11 202117
12 202216
13 202016
14 202315
15 201915
16 202115
17 201515
18 201710
19 202210
20 20199

About Sho Kinguchi

Sho Kinguchi is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Nutrition and Dietetics and Infectious Diseases, having authored 52 papers that have together received 572 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (11 papers), Hormonal Regulation and Hypertension (8 papers), Blood Pressure and Hypertension Studies (6 papers), Diabetes Treatment and Management (6 papers), Sodium Intake and Health (5 papers), Chronic Kidney Disease and Diabetes (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Nephrotoxicity and Medicinal Plants (3 papers). The work is most often cited by research in Nephrology (121 citations), Endocrinology, Diabetes and Metabolism (126 citations), Cardiology and Cardiovascular Medicine (135 citations), Aging (8 citations) and Pharmacology (21 citations). Sho Kinguchi has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Kouichi Tamura, Hiromichi Wakui, Kengo Azushima, Kazushi Uneda, Takahiro Yamaji, Akio Yamashita, Ryu Kobayashi, Kotaro Haruhara, Takayuki Yamada and Yoshiyuki Toya. Their work appears in journals such as Scientific Reports, Hypertension Research, International Journal of Molecular Sciences, Clinical and Experimental Hypertension and Journal of the American Heart Association.

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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