Kensei Yahata

35 papers receiving 1.6k citations

Peers

Kensei Yahata
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 444
  • Nephrology 239
  • Nutrition and Dietetics 273
  • Physiology 327
  • Endocrinology, Diabetes and Metabolism 175
Replace Nicholas Moss with:
Nicholas Moss United States
May Bloch-Faure France
Andrzej Ciechanowicz Poland
Agnès Pernin Switzerland
Angela Schulz Germany
Syed J. Khundmiri United States
Junji Fujikura Japan
Elaine Cochran United States
Richard Larivière Canada
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Kensei Yahata relative to Nicholas Moss United States Nicholas Moss's profile →
Citations per field
00.5×3.5×
Nicholas Moss · 1×
Citations per year

Countries citing papers authored by Kensei Yahata

Since Specialization
Citations

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

Fields of papers citing papers by Kensei Yahata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000277
2 2002224
3 2002146
4 2001132
5 200098
6 200296
7 200168
8 200056
9 200054
10 200453
11 200350
12 199949
13 200047
14 200638
15 200230
16 200329
17 200327
18 199923
19 201222
20 201210

About Kensei Yahata

Kensei Yahata is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Inflammatory mediators and NSAID effects (4 papers), Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Heart Failure Treatment and Management (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Connective Tissue Growth Factor Research (3 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (444 citations), Nephrology (239 citations), Nutrition and Dietetics (273 citations), Physiology (327 citations) and Endocrinology, Diabetes and Metabolism (175 citations). Kensei Yahata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akira Sugawara, Masashi Mukoyama, Kiyoshi Mori, Kazuwa Nakao, Takayoshi Suganami, Hisashi Makino, Issei Tanaka, Akihiro Yoshimoto, Yuriko Fujinaga and Kazuhiko Takaya. Their work appears in journals such as Journal of the American Society of Nephrology, Biochemical and Biophysical Research Communications, American Journal of Kidney Diseases, Clinical Nephrology and Hypertension.

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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