Tetsu Ebara

27 papers receiving 798 citations

Peers

Tetsu Ebara
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 305
  • Cardiology and Cardiovascular Medicine 243
  • Rheumatology 93
  • Cancer Research 91
  • Biochemistry 47
Replace Mohamed Asrih with:
Mohamed Asrih Switzerland
Eleni A. Karavia Greece
Maria Giovanna Colombo Italy
Sarah J. Mancini United Kingdom
Peter S. Braund United Kingdom
Kazumi Tsubakio‐Yamamoto Japan
Kyoichiro Tsuchiya Japan
Sheng Jiao China
Yan Xiong China
Yumiko Nakagawa-Toyama Japan
Tetsu Ebara relative to Mohamed Asrih Switzerland Mohamed Asrih's profile →
Citations per field
00.5×1.5×2.3×
Mohamed Asrih · 1×
Citations per year

Countries citing papers authored by Tetsu Ebara

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Ebara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997169
2 199698
3 200084
4 200351
5 200639
6 199637
7 199636
8 200133
9 200732
10 199429
11 200122
12 200921
13 200720
14 201419
15 200818
16 199418
17 199616
18 200513
19 199513
20 20099

About Tetsu Ebara

Tetsu Ebara is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Rheumatology and Physiology, having authored 28 papers that have together received 810 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Cancer, Lipids, and Metabolism (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Lysosomal Storage Disorders Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (305 citations), Cardiology and Cardiovascular Medicine (243 citations), Rheumatology (93 citations), Cancer Research (91 citations) and Biochemistry (47 citations). Tetsu Ebara has collaborated with scholars based in Japan, United States and Türkiye. Frequent co-authors include Neil S. Shachter, George Steiner, R Ramakrishnan, Tsutomu Hirano, Minoru Okubo, Toshio Murase, Mitsuru Adachi, Seishi Nagano, Jonathan D. Smith and Jan L. Breslow. Their work appears in journals such as Clinica Chimica Acta, Metabolism, Journal of Clinical Investigation, Diabetes and Atherosclerosis.

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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