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)Noboru Fukuda (7 shared papers)Katsuo Kanmatsuse (7 shared papers)Rob M. van Dam (5 shared papers)Woon‐Puay Koh (4 shared papers)Yimu Lai (4 shared papers)Ryo Suzuki (3 shared papers)Yukihiro Ikeda (3 shared papers)
- Journals
- Journal of Cardiovascular Pharmacology (3 papers)PLoS ONE (2 papers)Nutrients (2 papers)American Journal of Hypertension (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jin Su
42 papers receiving 836 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 160
- Nephrology 56
- Cardiology and Cardiovascular Medicine 126
- Endocrinology, Diabetes and Metabolism 86
- Virology 25
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 | 88 | |
| 2 | 2006 | 61 | |
| 3 | 2002 | 55 | |
| 4 | 2011 | 44 | |
| 5 | 2017 | 42 | |
| 6 | 2016 | 41 | |
| 7 | 2019 | 36 | |
| 8 | 2017 | 33 | |
| 9 | 2016 | 33 | |
| 10 | 2002 | 28 | |
| 11 | 2013 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2002 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2018 | 23 | |
| 18 | 2014 | 18 | |
| 19 | 1998 | 18 | |
| 20 | 2003 | 18 |
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 845 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 (160 citations), Nephrology (56 citations), Cardiology and Cardiovascular Medicine (126 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Virology (25 citations). Jin Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Choon Nam Ong, Noboru Fukuda, Katsuo Kanmatsuse, Rob M. van Dam, Woon‐Puay Koh, Yimu Lai, Ryo Suzuki, Yukihiro Ikeda, Yoshiko Tahira and Zhangli Liu. Their work appears in journals such as Journal of Cardiovascular Pharmacology, PLoS ONE, Nutrients, American Journal of Hypertension and Biochemical and Biophysical Research Communications.
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.