Motoo Tsushima
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Akira YamamotoYutaka HaranoMasaaki SuzukiMariko Harada‐ShibaYasushi HaraKazuya ShinozakiYoshikazu MiwaTakenori Yamaguchi
- Topics
- Lipoproteins and Cardiovascular Health (29 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Cancer, Lipids, and Metabolism (10 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismInternal Medicine
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Motoo Tsushima
83 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 898
- Surgery 771
- Endocrinology, Diabetes and Metabolism 554
- Epidemiology 488
- Pulmonary and Respiratory Medicine 290
Countries citing papers authored by Motoo Tsushima
This map shows the geographic impact of Motoo Tsushima'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 Motoo Tsushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoo Tsushima more than expected).
Fields of papers citing papers by Motoo Tsushima
This network shows the impact of papers produced by Motoo Tsushima. 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 Motoo Tsushima. The network helps show where Motoo Tsushima may publish in the future.
Co-authorship network of co-authors of Motoo Tsushima
This figure shows the co-authorship network connecting the top 25 collaborators of Motoo Tsushima. A scholar is included among the top collaborators of Motoo Tsushima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Motoo Tsushima. Motoo Tsushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 48 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 50 | |
| 6 | 33 | |
| 7 | 45 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 54 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | Changes in coagulation factors by passage through a dextran sulfate cellulose column during low-density lipoprotein apheresis. | 37 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Changes in Fatty Acid Profile of Adipose Tissue and Serum Lipids in Diabetic Patients with or without Obesity after Dietary Treatment | 1 |
About Motoo Tsushima
Motoo Tsushima is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Cancer, Lipids, and Metabolism (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (898 citations), Endocrinology, Diabetes and Metabolism (554 citations) and Internal Medicine (85 citations). Motoo Tsushima has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akira Yamamoto, Yutaka Harano, Masaaki Suzuki, Mariko Harada‐Shiba, Yasushi Hara, Kazuya Shinozaki, Yoshikazu Miwa, Takenori Yamaguchi, Kempei Matsuoka and Chokoh Genka. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.