Lin Chen
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
-
- Traditional Chinese Medicine Analysis
Papers in
- Nephrology 35
- Chronic Kidney Disease and Diabetes 22
- Acute Kidney Injury Research 9
-
- Traditional Chinese Medicine Analysis 25
- Co-authors
- Ying‐Yong Zhao (25 shared papers)Dan‐Qian Chen (21 shared papers)Nosratola D. Vaziri (20 shared papers)Hua Chen (13 shared papers)Yan Ping Guo (11 shared papers)Ya‐Long Feng (9 shared papers)Yuanyuan Chen (6 shared papers)Jingru Liu (3 shared papers)
- Journals
- Frontiers in Pharmacology (8 papers)Phytomedicine (5 papers)Scientific Reports (4 papers)Food Research International (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lin Chen
286 papers receiving 8.6k citations
Peers
Comparison fields: 5 of 180
- Nephrology 1.5k
- Complementary and alternative medicine 617
- Molecular Biology 3k
- Biological Psychiatry 63
- Molecular Medicine 206
Countries citing papers authored by Lin Chen
This map shows the geographic impact of Lin Chen'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 Lin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Chen more than expected).
Fields of papers citing papers by Lin Chen
This network shows the impact of papers produced by Lin Chen. 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 Lin Chen. The network helps show where Lin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Chen, 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 302 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 424 | |
| 2 | 2019 | 347 | |
| 3 | 2018 | 306 | |
| 4 | 2007 | 258 | |
| 5 | 2019 | 236 | |
| 6 | 2000 | 209 | |
| 7 | 2017 | 181 | |
| 8 | 2013 | 179 | |
| 9 | 2019 | 169 | |
| 10 | 2018 | 158 | |
| 11 | 2005 | 136 | |
| 12 | 2018 | 120 | |
| 13 | 2007 | 113 | |
| 14 | 2010 | 112 | |
| 15 | 2017 | 112 | |
| 16 | 2019 | 107 | |
| 17 | 2012 | 101 | |
| 18 | 2019 | 100 | |
| 19 | 2019 | 95 | |
| 20 | 2016 | 94 |
About Lin Chen
Lin Chen is a scholar working on Nephrology, Complementary and alternative medicine, Molecular Biology, Analytical Chemistry and Pharmacology, having authored 302 papers that have together received 8.8k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (25 papers), Chronic Kidney Disease and Diabetes (22 papers), Metabolomics and Mass Spectrometry Studies (11 papers), TGF-β signaling in diseases (10 papers), Genomics, phytochemicals, and oxidative stress (10 papers), Acute Kidney Injury Research (9 papers), Drug Transport and Resistance Mechanisms (6 papers) and Sulfur Compounds in Biology (6 papers). The work is most often cited by research in Nephrology (1.5k citations), Complementary and alternative medicine (617 citations), Molecular Biology (3k citations), Biological Psychiatry (63 citations) and Molecular Medicine (206 citations). Lin Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying‐Yong Zhao, Dan‐Qian Chen, Nosratola D. Vaziri, Hua Chen, Yan Ping Guo, Ya‐Long Feng, Yuanyuan Chen, Jingru Liu, Gang Cao and Hui Zhao. Their work appears in journals such as Frontiers in Pharmacology, Phytomedicine, Scientific Reports, Food Research International and PLoS ONE.
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.