Pin‐Lan Li
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Inflammasome and immune disorders 10
- Sphingolipid Metabolism and Signaling 5
- Epidemiology 15
- Autophagy in Disease and Therapy 11
- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Krishna M. Boini (13 shared papers)Min Xia (12 shared papers)Ashley Pitzer (4 shared papers)Erich Gulbins (4 shared papers)Song Hong (2 shared papers)Xiang Li (2 shared papers)Amiram Ariel (1 shared paper)Wei Wang (1 shared paper)
- Journals
- The FASEB Journal (6 papers)Cellular Physiology and Biochemistry (4 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (3 papers)Journal of Molecular Medicine (3 papers)Cardiovascular Research (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Pin‐Lan Li
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Physiology 144
- Biochemistry 132
- Nephrology 92
- Nutrition and Dietetics 170
- Sensory Systems 48
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-authors
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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 201 | |
| 2 | 2014 | 102 | |
| 3 | 2014 | 97 | |
| 4 | 2016 | 93 | |
| 5 | 2015 | 65 | |
| 6 | 2009 | 55 | |
| 7 | 2014 | 53 | |
| 8 | 2019 | 51 | |
| 9 | 2010 | 50 | |
| 10 | 2015 | 42 | |
| 11 | 2014 | 38 | |
| 12 | 2009 | 35 | |
| 13 | 2007 | 34 | |
| 14 | 2015 | 33 | |
| 15 | 2011 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2013 | 29 | |
| 19 | 2021 | 24 | |
| 20 | 2010 | 23 |
About Pin‐Lan Li
Pin‐Lan Li is a scholar working on Molecular Biology, Epidemiology, Physiology, Physiology and Surgery, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Inflammasome and immune disorders (10 papers), Calcium signaling and nucleotide metabolism (7 papers), Sphingolipid Metabolism and Signaling (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Fatty Acid Research and Health (3 papers), Adenosine and Purinergic Signaling (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Physiology (144 citations), Biochemistry (132 citations), Nephrology (92 citations), Nutrition and Dietetics (170 citations) and Sensory Systems (48 citations). Pin‐Lan Li has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Krishna M. Boini, Min Xia, Ashley Pitzer, Erich Gulbins, Song Hong, Xiang Li, Amiram Ariel, Wei Wang, Gabrielle Fredman and Charles N. Serhan. Their work appears in journals such as The FASEB Journal, Cellular Physiology and Biochemistry, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Molecular Medicine and Cardiovascular Research.
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.