Jin Su
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Nephrology top 10%
- Acute Kidney Injury Research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Receptor Mechanisms and Signaling 2
-
- Renin-Angiotensin System Studies 5
- Co-authors
- Choon Nam Ong (7 shared papers)Katsuo Kanmatsuse (7 shared papers)Noboru Fukuda (7 shared papers)Rob M. van Dam (5 shared papers)Woon‐Puay Koh (4 shared papers)Yimu Lai (4 shared papers)Yoshiko Tahira (3 shared papers)Yukihiro Ikeda (3 shared papers)
- Journals
- Journal of Cardiovascular Pharmacology (3 papers)Nutrients (2 papers)Biochemical and Biophysical Research Communications (2 papers)American Journal of Hypertension (2 papers)Hypertension (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jin Su
42 papers receiving 854 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 161
- Nephrology 57
- Cardiology and Cardiovascular Medicine 131
- Endocrinology, Diabetes and Metabolism 91
- Virology 26
Countries citing papers authored by Jin Su
This map shows the geographic impact of Jin Su'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 Jin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Su more than expected).
Fields of papers citing papers by Jin Su
This network shows the impact of papers produced by Jin Su. 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 Jin Su. The network helps show where Jin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2006 | 62 | |
| 3 | 2002 | 58 | |
| 4 | 2011 | 46 | |
| 5 | 2017 | 43 | |
| 6 | 2016 | 41 | |
| 7 | 2019 | 36 | |
| 8 | 2017 | 34 | |
| 9 | 2016 | 33 | |
| 10 | 2017 | 28 | |
| 11 | 2002 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2002 | 25 | |
| 15 | 2019 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2018 | 23 | |
| 18 | 2004 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2003 | 19 |
About Jin Su
Jin Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Nutrition and Dietetics, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 867 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Fatty Acid Research and Health (5 papers), Acute Kidney Injury Research (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cancer Research (161 citations), Nephrology (57 citations), Cardiology and Cardiovascular Medicine (131 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Virology (26 citations). Jin Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Choon Nam Ong, Katsuo Kanmatsuse, Noboru Fukuda, Rob M. van Dam, Woon‐Puay Koh, Yimu Lai, Yoshiko Tahira, Yukihiro Ikeda, Ryo Suzuki and Zhangli Liu. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Nutrients, Biochemical and Biophysical Research Communications, American Journal of Hypertension and Hypertension.
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.