Exing Wang
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Lipid Membrane Structure and Behavior 6
- Single-cell and spatial transcriptomics 3
- Cell Biology 11
- Cellular transport and secretion 8
- Co-authors
- Kenneth W. Dunn (12 shared papers)Clifford M. Babbey (2 shared papers)Steven J. Chapin (2 shared papers)Keith E. Mostov (2 shared papers)Benjamin Aroeti (2 shared papers)Bruce A. Molitoris (7 shared papers)Ruben M. Sandoval (8 shared papers)Barth D. Grant (1 shared paper)
- Journals
- Biophysical Journal (3 papers)American Journal of Physiology-Renal Physiology (3 papers)Traffic (3 papers)Journal of Biological Chemistry (2 papers)Advanced Science (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Exing Wang
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Nephrology 199
- Biophysics 151
- Cell Biology 360
- Aging 23
- Molecular Biology 577
Countries citing papers authored by Exing Wang
This map shows the geographic impact of Exing Wang'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 Exing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Exing Wang more than expected).
Fields of papers citing papers by Exing Wang
This network shows the impact of papers produced by Exing Wang. 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 Exing Wang. The network helps show where Exing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Exing Wang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 138 | |
| 2 | 2006 | 135 | |
| 3 | 2000 | 111 | |
| 4 | 2005 | 103 | |
| 5 | 2003 | 97 | |
| 6 | 2016 | 81 | |
| 7 | 2008 | 74 | |
| 8 | 2012 | 66 | |
| 9 | 2003 | 65 | |
| 10 | 2011 | 53 | |
| 11 | 2006 | 50 | |
| 12 | 2010 | 47 | |
| 13 | 1996 | 44 | |
| 14 | 2001 | 38 | |
| 15 | 2013 | 33 | |
| 16 | 2000 | 30 | |
| 17 | 2006 | 29 | |
| 18 | 2007 | 26 | |
| 19 | 1998 | 22 | |
| 20 | 2001 | 20 |
About Exing Wang
Exing Wang is a scholar working on Molecular Biology, Cell Biology, Nephrology, Biophysics and Oncology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (3 papers) and Dialysis and Renal Disease Management (3 papers). The work is most often cited by research in Nephrology (199 citations), Biophysics (151 citations), Cell Biology (360 citations), Aging (23 citations) and Molecular Biology (577 citations). Exing Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kenneth W. Dunn, Clifford M. Babbey, Steven J. Chapin, Keith E. Mostov, Benjamin Aroeti, Bruce A. Molitoris, Ruben M. Sandoval, Barth D. Grant, Carlos Chih-Hsiung Chen and Douglas R. Pfeiffer. Their work appears in journals such as Biophysical Journal, American Journal of Physiology-Renal Physiology, Traffic, Journal of Biological Chemistry and Advanced Science.
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.