Takeyuki Numata

771 citations
51 papers · 599 · h-index 13

Impact in

Papers in

Takeyuki Numata

47 papers receiving 564 citations

Peers

Takeyuki Numata
Comparison fields: 5 of 79
  • Nephrology 64
  • Endocrinology, Diabetes and Metabolism 111
  • Physiology 138
  • Physical Therapy, Sports Therapy and Rehabilitation 18
  • Complementary and alternative medicine 30
Replace Kazuyo Tsushita with:
Kazuyo Tsushita Japan
Jacqui Sugden United Kingdom
R. Pierson United States
R. Lewanczuk Canada
Seok Won Park South Korea
Simona Boarin Italy
K Ishikawa-Takata Japan
Joel Simon United States
L. Byberg Sweden
Deepa Sumukadas United Kingdom
Takeyuki Numata relative to Kazuyo Tsushita Japan Kazuyo Tsushita's profile →
Citations per field
00.5×1.5×2.1×
Kazuyo Tsushita · 1×
Citations per year

Countries citing papers authored by Takeyuki Numata

Since Specialization
Citations

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

Fields of papers citing papers by Takeyuki Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takeyuki Numata, 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 Takeyuki Numata Line = papers co-authored together Takeyuki Numata 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 201397
2 200659
3 200642
4 200832
5 201231
6 201230
7 200725
8 200724
9 200717
10 200717
11 200915
12 200714
13 200713
14 201012
15 200611
16 200510
17 200910
18 201010
19 20109
20 20139

About Takeyuki Numata

Takeyuki Numata is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Nephrology, having authored 51 papers that have together received 599 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (9 papers), Body Composition Measurement Techniques (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiovascular and exercise physiology (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Nephrology (64 citations), Endocrinology, Diabetes and Metabolism (111 citations), Physiology (138 citations), Physical Therapy, Sports Therapy and Rehabilitation (18 citations) and Complementary and alternative medicine (30 citations). Takeyuki Numata has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include Nobuyuki Miyatake, Hirofumi Makino, Jun Wada, Motohiko Miyachi, Izumi Tabata, Hidetaka Nishikawa, Noriko Sakano, Kenji Nishii, Kazuyo Tsushita and Kenichi Shikata. Their work appears in journals such as Environmental Health and Preventive Medicine, Diabetes Research and Clinical Practice, PLoS ONE, Obesity Research & Clinical Practice and Journal of sport and health science.

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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