Lina Su
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- interferon and immune responses
- Aquaculture disease management and microbiota
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Phytochemical Studies and Bioactivities 3
- Retinoids in leukemia and cellular processes 2
- Surgery 5
- Co-authors
- Yuan‐Han Qin (13 shared papers)Tian‐Biao Zhou (13 shared papers)Yan-Jun Zhao (12 shared papers)Feng-Ying Lei (12 shared papers)Wei-Fang Huang (12 shared papers)Manyan Wu (4 shared papers)Zheng Lian (5 shared papers)Yusheng Pang (4 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)Gene (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lina Su
44 papers receiving 782 citations
Peers
Comparison fields: 5 of 90
- Nephrology 94
- Immunology 151
- Cardiology and Cardiovascular Medicine 123
- Hematology 56
- Molecular Biology 330
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2011 | 51 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 44 | |
| 5 | 2006 | 32 | |
| 6 | 2014 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 28 | |
| 9 | 2011 | 28 | |
| 10 | 2017 | 28 | |
| 11 | 2017 | 25 | |
| 12 | 2011 | 24 | |
| 13 | 2011 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2013 | 21 | |
| 16 | 2006 | 20 | |
| 17 | 2011 | 20 | |
| 18 | 2015 | 19 | |
| 19 | 2020 | 19 | |
| 20 | 2011 | 18 |
About Lina Su
Lina Su is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 796 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Phytochemical Studies and Bioactivities (3 papers), Phytochemistry and Bioactive Compounds (3 papers), Lymphatic System and Diseases (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Nephrology (94 citations), Immunology (151 citations), Cardiology and Cardiovascular Medicine (123 citations), Hematology (56 citations) and Molecular Biology (330 citations). Lina Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuan‐Han Qin, Tian‐Biao Zhou, Yan-Jun Zhao, Feng-Ying Lei, Wei-Fang Huang, Manyan Wu, Zheng Lian, Yusheng Pang, Long Li and Hong Chen. Their work appears in journals such as Journal of the Renin-Angiotensin-Aldosterone System, Renal Failure, PLoS ONE, Global Health Research and Policy and Gene.
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.