Haruo UZAWA
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine
- Physiology
- Co-authors
- Nobuhisa NakamuraMasataka MoriF ShimadaYasuhiko EbinaEiichi ArakiHideki MaedaShozo KoboriHideo Fukushima
- Topics
- Lipoproteins and Cardiovascular Health (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Diet and metabolism studies (4 papers)
- Journals
- Journal of Biological ChemistryAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Haruo UZAWA
43 papers receiving 573 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 222
- Molecular Biology 190
- Surgery 174
- Cardiology and Cardiovascular Medicine 103
- Physiology 81
Countries citing papers authored by Haruo UZAWA
This map shows the geographic impact of Haruo UZAWA'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 Haruo UZAWA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruo UZAWA more than expected).
Fields of papers citing papers by Haruo UZAWA
This network shows the impact of papers produced by Haruo UZAWA. 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 Haruo UZAWA. The network helps show where Haruo UZAWA may publish in the future.
Co-authorship network of co-authors of Haruo UZAWA
This figure shows the co-authorship network connecting the top 25 collaborators of Haruo UZAWA. A scholar is included among the top collaborators of Haruo UZAWA 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 Haruo UZAWA. Haruo UZAWA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 53 | |
| 3 | Comparative effects of bunazosin and propranolol on serum lipids and apolipoproteins in patients with essential hypertension. | 2 |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 27 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 54 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Stroke U.S. & Japan. Serum lipid profiles. | 4 |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 2 |
About Haruo UZAWA
Haruo UZAWA is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Nephrology, having authored 43 papers that have together received 608 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (222 citations), Nephrology (36 citations) and Cardiology and Cardiovascular Medicine (103 citations). Haruo UZAWA has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Nobuhisa Nakamura, Masataka Mori, F Shimada, Yasuhiko Ebina, Eiichi Araki, Hideki Maeda, Shozo Kobori, Hideo Fukushima, Haruo Takeda and Motoaki Shichiri. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.