Kosuke Yamahara

1.5k citations
25 papers · 1.2k indexed · 1 hit paper · h-index 15

Kosuke Yamahara

25 papers receiving 1.2k citations

Hit Papers

SGLT2 Inhibition Mediates Protection from Diabetic Kidney...267202020262022202450100150200250

Peers

Kosuke Yamahara
Comparison fields: 5 of 79
  • Nephrology 395
  • Clinical Biochemistry 149
  • Endocrinology, Diabetes and Metabolism 277
  • Aging 26
  • Epidemiology 399
Replace Hisazumi Araki with:
Hisazumi Araki Japan
Jun Matsuda Japan
Feng Guo China
Satish RamachandraRao United States
Zhonggao Xu China
Xiaofen Xiong China
Isabelle Chénier Canada
Hitomi Usui Japan
Tsukasa Morii Japan
Yunzhuo Ren China
Kosuke Yamahara relative to Hisazumi Araki Japan Hisazumi Araki's profile →
Citations per field
00.5×4.3×
Hisazumi Araki · 1×
Citations per year

Countries citing papers authored by Kosuke Yamahara

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Yamahara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20244
3 20241
4 20243
5 20247
6 202324
7 20231
8 20225
9 202224
10
SGLT2 Inhibition Mediates Protection from Diabetic Kidney Disease by Promoting Ketone Body-Induced mTORC1 Inhibitionbreakdown →
2020267
11 202020
12 202024
13 201840
14 201816
15 201727
16 201518
17 2015270
18 2013182
19 20136
20 201354

About Kosuke Yamahara

Kosuke Yamahara is a scholar working on Nephrology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Autophagy in Disease and Therapy (6 papers), Diet, Metabolism, and Disease (5 papers), Diet and metabolism studies (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Pancreatic function and diabetes (4 papers), Cannabis and Cannabinoid Research (3 papers) and Biomedical Research and Pathophysiology (3 papers). The work is most often cited by research in Nephrology (395 citations), Clinical Biochemistry (149 citations) and Endocrinology, Diabetes and Metabolism (277 citations). Kosuke Yamahara has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Shinji Kume, Hiroshi Maegawa, Masami Chin‒Kanasaki, Shin‐ichi Araki, Daisuke Koya, Takashi Uzu, Mako Yasuda‒Yamahara, Mako Yasuda, Hisazumi Araki and Naoko Takeda. Their work appears in journals such as PLoS ONE, Cell Metabolism and Diabetes.

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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