Tetsu Ebara

988 citations
28 papers · 805 indexed · h-index 17

Impact in

Papers in

Tetsu Ebara

28 papers receiving 787 citations

Peers

Tetsu Ebara
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 363
  • Cardiology and Cardiovascular Medicine 301
  • Biochemistry 56
  • Cancer Research 114
  • Rheumatology 94
Replace Kazumi Tsubakio‐Yamamoto with:
Kazumi Tsubakio‐Yamamoto Japan
Gengshu Wu Canada
Yumiko Nakagawa-Toyama Japan
Elham Zarrinpashneh Belgium
Sheng Jiao China
Maria Giovanna Colombo Italy
Miyako Yuasa‐Kawase Japan
Kati Ylitalo Finland
T W de Bruin Netherlands
M. Poapst Canada
Tetsu Ebara relative to Kazumi Tsubakio‐Yamamoto Japan Kazumi Tsubakio‐Yamamoto's profile →
Citations per field
00.5×3.5×
Kazumi Tsubakio‐Yamamoto · 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-authorship network

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
#Work
1 20174
2 201418
3 20125
4 20102
5 20104
6 200921
7 20099
8 200817
9 200731
10 200719
11 200639
12 200513
13 200133
14 200082
15 1997165
16 19966
17 199698
18 199513
19 199429
20 19946

About Tetsu Ebara

Tetsu Ebara is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Rheumatology, Cancer Research and Nephrology, having authored 28 papers that have together received 805 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (363 citations), Cardiology and Cardiovascular Medicine (301 citations), Biochemistry (56 citations), Cancer Research (114 citations) and Rheumatology (94 citations). Tetsu Ebara has collaborated with scholars based in Japan, United States and Argentina. 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 H N Ginsberg. Their work appears in journals such as Clinica Chimica Acta, Journal of Clinical Investigation, Metabolism, 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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