Atsushi Nohara
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- Diabetes, Cardiovascular Risks, and Lipoproteins 47
- Hormonal Regulation and Hypertension 7
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 33
- Surgery top 1%
- Lipoproteins and Cardiovascular Health 102
- Cholesterol and Lipid Metabolism 23
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- Lipid metabolism and disorders 30
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- Adipokines, Inflammation, and Metabolic Diseases 9
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- Peroxisome Proliferator-Activated Receptors 7
- Co-authors
- Hiroshi MabuchiMasa‐aki KawashiriAkihiro InazuHayato TadaMasakazu YamagishiJunji KobayashiToshinori HigashikataJunji Koizumi
- Journals
- Journal of Biological Chemistry (1 paper)Circulation (2 papers)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Atsushi Nohara
171 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 124
- Endocrinology, Diabetes and Metabolism 1.3k
- Cancer Research 889
- Surgery 2.5k
- Cardiology and Cardiovascular Medicine 1.1k
- Pathology and Forensic Medicine 275
Countries citing papers authored by Atsushi Nohara
This map shows the geographic impact of Atsushi Nohara'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 Atsushi Nohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Nohara more than expected).
Fields of papers citing papers by Atsushi Nohara
This network shows the impact of papers produced by Atsushi Nohara. 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 Atsushi Nohara. The network helps show where Atsushi Nohara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi Nohara, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 8 | |
| 7 | 日本人家族性高コレステロール血症におけるLDL受容体遺伝子の病原性突然変異のカタログ【JST・京大機械翻訳】 | 2020 | 1 |
| 8 | 2020 | 1 | |
| 9 | 2018 | 13 | |
| 10 | 2016 | 1 | |
| 11 | 2014 | 64 | |
| 12 | 2013 | 8 | |
| 13 | 2012 | 34 | |
| 14 | 2011 | 12 | |
| 15 | 2010 | 60 | |
| 16 | 2008 | 29 | |
| 17 | 2006 | 23 | |
| 18 | 2006 | 9 | |
| 19 | 2005 | 97 | |
| 20 | Increased matrix metalloproteinase-2 in patients with hypertrophic cardiomyopathy with systolic dysfunction | 2002 | 3 |
About Atsushi Nohara
Atsushi Nohara is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 178 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (102 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (47 papers), Cancer, Lipids, and Metabolism (33 papers), Lipid metabolism and disorders (30 papers), Cholesterol and Lipid Metabolism (23 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Hormonal Regulation and Hypertension (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Cancer Research (889 citations) and Surgery (2.5k citations). Atsushi Nohara has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Hiroshi Mabuchi, Masa‐aki Kawashiri, Akihiro Inazu, Hayato Tada, Masakazu Yamagishi, Junji Kobayashi, Toshinori Higashikata, Junji Koizumi, Mariko Harada‐Shiba and Kenshi Hayashi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.
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.