Lina Su
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
-
- interferon and immune responses
- Aquaculture disease management and microbiota
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Phytochemical Studies and Bioactivities 3
-
- Renin-Angiotensin System Studies 7
- Co-authors
- Tian‐Biao Zhou (13 shared papers)Yuan‐Han Qin (13 shared papers)Yan-Jun Zhao (12 shared papers)Wei-Fang Huang (12 shared papers)Feng-Ying Lei (12 shared papers)Yuxia Cui (7 shared papers)Manyan Wu (4 shared papers)Zheng Lian (5 shared papers)
- Journals
- Journal of the Renin-Angiotensin-Aldosterone System (4 papers)Renal Failure (3 papers)PLoS ONE (2 papers)Global Health Research and Policy (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lina Su
44 papers receiving 769 citations
Peers
Comparison fields: 5 of 93
- Nephrology 110
- Immunology 173
- Cardiology and Cardiovascular Medicine 121
- Molecular Biology 360
- Hematology 58
Countries citing papers authored by Lina Su
This map shows the geographic impact of Lina 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 Lina Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lina Su more than expected).
Fields of papers citing papers by Lina Su
This network shows the impact of papers produced by Lina 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 Lina Su. The network helps show where Lina Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Lina 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 72 | |
| 2 | 2011 | 51 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 44 | |
| 5 | 2006 | 32 | |
| 6 | 2014 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 28 | |
| 9 | 2011 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2017 | 25 | |
| 12 | 2011 | 24 | |
| 13 | 2011 | 22 | |
| 14 | 2013 | 21 | |
| 15 | 2011 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2006 | 20 | |
| 18 | 2015 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2011 | 18 |
About Lina Su
Lina Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Nephrology, having authored 44 papers that have together received 783 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Hormonal Regulation and Hypertension (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Renal Diseases and Glomerulopathies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Phytochemical Studies and Bioactivities (3 papers) and Phytochemistry and Bioactive Compounds (3 papers). The work is most often cited by research in Nephrology (110 citations), Immunology (173 citations), Cardiology and Cardiovascular Medicine (121 citations), Molecular Biology (360 citations) and Hematology (58 citations). Lina Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tian‐Biao Zhou, Yuan‐Han Qin, Yan-Jun Zhao, Wei-Fang Huang, Feng-Ying Lei, Yuxia Cui, Manyan Wu, Zheng Lian, Yusheng Pang and Dan Hu. Their work appears in journals such as Journal of the Renin-Angiotensin-Aldosterone System, Renal Failure, PLoS ONE, Global Health Research and Policy and Frontiers in Immunology.
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.