Pin‐Lan Li
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism 41
- Adenosine and Purinergic Signaling 23
- Nitric Oxide and Endothelin Effects 13
- Nephrology top 1%
- Renal Diseases and Glomerulopathies 18
- Sensory Systems top 1%
- Ion Channels and Receptors 19
- Biochemistry top 0.5%
- Physiology top 2%
- Calcium signaling and nucleotide metabolism 41
- Adenosine and Purinergic Signaling 23
- Nitric Oxide and Endothelin Effects 13
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- Inflammasome and immune disorders 37
- Sphingolipid Metabolism and Signaling 33
- Lipid Membrane Structure and Behavior 22
- Co-authors
- Ai-Ping ZouMin XiaFan YiNingjun LiKrishna M. BoiniWilliam B. CampbellAndrew Y. ZhangDavid X. Zhang
- Cited by
- PhysiologyNephrologySensory Systems
- Journals
- The FASEB Journal (33 papers)American Journal of Physiology-Heart and Circulatory Physiology (13 papers)Hypertension (10 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Pin‐Lan Li
146 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 115
- Physiology 832
- Nephrology 604
- Sensory Systems 370
- Biochemistry 534
- Physiology 1.1k
Countries citing papers authored by Pin‐Lan Li
This map shows the geographic impact of Pin‐Lan Li'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 Pin‐Lan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin‐Lan Li more than expected).
Fields of papers citing papers by Pin‐Lan Li
This network shows the impact of papers produced by Pin‐Lan Li. 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 Pin‐Lan Li. The network helps show where Pin‐Lan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pin‐Lan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 11 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 118 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 225 | |
| 10 | 2012 | 34 | |
| 11 | 2012 | 21 | |
| 12 | 2011 | 102 | |
| 13 | 2010 | 32 | |
| 14 | 2009 | 40 | |
| 15 | 2008 | 59 | |
| 16 | 2006 | 62 | |
| 17 | 2005 | 27 | |
| 18 | 2004 | 111 | |
| 19 | 2003 | 40 | |
| 20 | 2000 | 20 |
About Pin‐Lan Li
Pin‐Lan Li is a scholar working on Physiology, Sensory Systems and Nephrology, having authored 158 papers that have together received 5.3k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (41 papers), Inflammasome and immune disorders (37 papers), Sphingolipid Metabolism and Signaling (33 papers), Adenosine and Purinergic Signaling (23 papers), Lipid Membrane Structure and Behavior (22 papers), Ion Channels and Receptors (19 papers), Renal Diseases and Glomerulopathies (18 papers) and Nitric Oxide and Endothelin Effects (13 papers). The work is most often cited by research in Physiology (832 citations), Nephrology (604 citations) and Sensory Systems (370 citations). Pin‐Lan Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ai-Ping Zou, Min Xia, Fan Yi, Ningjun Li, Krishna M. Boini, William B. Campbell, Andrew Y. Zhang, David X. Zhang, Si Jin and Owais M. Bhat. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Heart and Circulatory Physiology, Hypertension, Cellular Physiology and Biochemistry and Antioxidants and Redox Signaling.
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.