Toshitaka TAMAI

1.1k citations
44 papers · 890 indexed · h-index 13

Toshitaka TAMAI

40 papers receiving 842 citations

Peers

Toshitaka TAMAI
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 259
  • Cardiology and Cardiovascular Medicine 268
  • Cancer Research 168
  • Biochemistry 66
  • Surgery 392
Replace Tsuguhiko NAKAI with:
Tsuguhiko NAKAI Japan
P Költringer Austria
Yasuko Kawano Japan
Hatsuyo Kano Japan
Ronald K. Mayfield United States
Agnès Sassolas France
Valdeci da Cunha United States
Shigeru TAKAMATSU Japan
Takeyoshi Murano Japan
Michele Nutini Italy
Toshitaka TAMAI relative to Tsuguhiko NAKAI Japan Tsuguhiko NAKAI's profile →
Citations per field
00.5×1.5×1.9×
Tsuguhiko NAKAI · 1×
Citations per year

Countries citing papers authored by Toshitaka TAMAI

Since Specialization
Citations

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

Fields of papers citing papers by Toshitaka TAMAI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199543
2 199423
3 19935
4 1992155
5
Plasma lipoprotein and apolipoprotein profile in male weightlifters
19911
6 19910
7 19912
8 19908
9 199028
10 19904
11 19897
12 19891
13 198912
14 19891
15 198812
16 19887
17 19882
18 19865
19 19848
20
Hypertensive effects on pregnancy in spontaneously hypertensive rats (SHR) and stroke-prone SHR (SHRSP).
198110

About Toshitaka TAMAI

Toshitaka TAMAI is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Biological Psychiatry, having authored 44 papers that have together received 890 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Cancer, Lipids, and Metabolism (6 papers), Muscle metabolism and nutrition (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Adipose Tissue and Metabolism (5 papers), Cholesterol and Lipid Metabolism (4 papers), Sports Performance and Training (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Cardiology and Cardiovascular Medicine (268 citations) and Cancer Research (168 citations). Toshitaka TAMAI has collaborated with scholars based in Japan, India and Armenia. Frequent co-authors include Koji Oida, Susumu Miyabo, Tsuguhiko NAKAI, Sadao Takahashi, Jinya Suzuki, Gustav Schonfeld, Wolfgang Patsch, Tokuo Yamamoto, Hajime Maeda and T. Nakai. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical and Biophysical Research Communications.

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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