Jin Su
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Nephrology top 10%
Papers in
-
- Circular RNAs in diseases 4
-
- Renin-Angiotensin System Studies 5
- Blood Pressure and Hypertension Studies 3
- 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)Yukihiro Ikeda (3 shared papers)Yoshiko Tahira (3 shared papers)
- Journals
- Journal of Cardiovascular Pharmacology (3 papers)American Journal of Hypertension (2 papers)Nutrients (2 papers)Hypertension (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jin Su
43 papers receiving 820 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 188
- Nephrology 62
- Biochemistry 51
- Cardiology and Cardiovascular Medicine 155
- Endocrinology, Diabetes and Metabolism 109
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 | 86 | |
| 2 | 2006 | 59 | |
| 3 | 2002 | 55 | |
| 4 | 2011 | 43 | |
| 5 | 2017 | 42 | |
| 6 | 2016 | 41 | |
| 7 | 2019 | 36 | |
| 8 | 2016 | 33 | |
| 9 | 2017 | 32 | |
| 10 | 2002 | 29 | |
| 11 | 2013 | 27 | |
| 12 | 2020 | 25 | |
| 13 | 2017 | 25 | |
| 14 | 2002 | 24 | |
| 15 | 2013 | 22 | |
| 16 | 2018 | 22 | |
| 17 | 2019 | 21 | |
| 18 | 2003 | 18 | |
| 19 | 1998 | 18 | |
| 20 | 2019 | 17 |
About Jin Su
Jin Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Cancer Research, having authored 46 papers that have together received 830 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (5 papers), Renin-Angiotensin System Studies (5 papers), Circular RNAs in diseases (4 papers), Nutritional Studies and Diet (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Blood Pressure and Hypertension Studies (3 papers), MicroRNA in disease regulation (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Cancer Research (188 citations), Nephrology (62 citations), Biochemistry (51 citations), Cardiology and Cardiovascular Medicine (155 citations) and Endocrinology, Diabetes and Metabolism (109 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, Yukihiro Ikeda, Yoshiko Tahira, Ryo Suzuki and Xiaoli Li. Their work appears in journals such as Journal of Cardiovascular Pharmacology, American Journal of Hypertension, Nutrients, 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.