Hitoshi Nishizawa
- Endocrine and Autonomic Systems top 0.2%
- Epidemiology top 0.1%
- Adipokines, Inflammation, and Metabolic Diseases 48
- Liver Disease Diagnosis and Treatment 15
- Physiology top 0.2%
- Adipose Tissue and Metabolism 35
- Diet and metabolism studies 10
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- Pituitary Gland Disorders and Treatments 20
- Growth Hormone and Insulin-like Growth Factors 18
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- Cardiovascular Disease and Adiposity 14
- Lipid metabolism and disorders 11
- Co-authors
- Tohru FunahashiIichiro ShimomuraNorikazu MaedaShinji KiharaYūji MatsuzawaKen KishidaHiroyuki NagaretaniNoriyuki Ouchi
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (12 papers)Circulation (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hitoshi Nishizawa
155 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Endocrine and Autonomic Systems 1.6k
- Epidemiology 7.7k
- Physiology 5.1k
- Endocrinology, Diabetes and Metabolism 2.6k
- Cardiology and Cardiovascular Medicine 3.2k
Countries citing papers authored by Hitoshi Nishizawa
This map shows the geographic impact of Hitoshi Nishizawa'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 Hitoshi Nishizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Nishizawa more than expected).
Fields of papers citing papers by Hitoshi Nishizawa
This network shows the impact of papers produced by Hitoshi Nishizawa. 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 Hitoshi Nishizawa. The network helps show where Hitoshi Nishizawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hitoshi Nishizawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2015 | 30 | |
| 17 | 2013 | 37 | |
| 18 | 2006 | 140 | |
| 19 | 1997 | 45 | |
| 20 | 1993 | 2 |
About Hitoshi Nishizawa
Hitoshi Nishizawa is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology, having authored 162 papers that have together received 13.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (48 papers), Adipose Tissue and Metabolism (35 papers), Pituitary Gland Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (18 papers), Liver Disease Diagnosis and Treatment (15 papers), Cardiovascular Disease and Adiposity (14 papers), Lipid metabolism and disorders (11 papers) and Diet and metabolism studies (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.6k citations), Epidemiology (7.7k citations) and Physiology (5.1k citations). Hitoshi Nishizawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tohru Funahashi, Iichiro Shimomura, Norikazu Maeda, Shinji Kihara, Yūji Matsuzawa, Ken Kishida, Hiroyuki Nagaretani, Noriyuki Ouchi, Morihiro Matsuda and Tadashi Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.