Exing Wang

1.8k citations
36 papers · 1.5k · h-index 20

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
  • Biophysics top 2%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Lipid Membrane Structure and Behavior 6
    • Single-cell and spatial transcriptomics 3
    • Cellular transport and secretion 8

Exing Wang

35 papers receiving 1.4k citations

Peers

Exing Wang
Comparison fields: 5 of 110
  • Nephrology 220
  • Biophysics 167
  • Cell Biology 376
  • Aging 23
  • Molecular Biology 611
Replace Davor Pavlović with:
Davor Pavlović United Kingdom
Annapaola Andolfo Italy
Violetta Filas Poland
Simona Romano Italy
Lisa Berglund Sweden
Annette Bakker United States
Adam Mor United States
Pin Li China
Satarupa Das United States
Hui‐Ming Chang United States
Exing Wang relative to Davor Pavlović United Kingdom Davor Pavlović's profile →
Citations per field
00.5×5.8×
Davor Pavlović · 1×
Citations per year

Countries citing papers authored by Exing Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Exing Wang Line = papers co-authored together Exing Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006146
2 2000145
3 2000121
4 2005114
5 2003106
6 201686
7 200880
8 201270
9 200369
10 201159
11 201052
12 200651
13 199644
14 200139
15 201333
16 200030
17 200629
18 200726
19 199822
20 200120

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 1.5k 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 (220 citations), Biophysics (167 citations), Cell Biology (376 citations), Aging (23 citations) and Molecular Biology (611 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, Keith E. Mostov, Benjamin Aroeti, Steven J. Chapin, Bruce A. Molitoris, Ruben M. Sandoval, Barth D. Grant, Carlos Chih-Hsiung Chen and Douglas R. Pfeiffer. Their work appears in journals such as Traffic, American Journal of Physiology-Renal Physiology, Biophysical Journal, Journal of Biological Chemistry and Journal of the American Society of Nephrology.

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.

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