Kitty Tang
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- Cellular transport and secretion 6
- Caveolin-1 and cellular processes 2
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- Lipid Membrane Structure and Behavior 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Keith E. Mostov (11 shared papers)Yoram Altschuler (4 shared papers)Gerard Apodaca (4 shared papers)Lucy Erin O’Brien (4 shared papers)Laura J. Terlecky (1 shared paper)Sandra L. Schmid (1 shared paper)Stephen Hardy (1 shared paper)Joshua H. Lipschutz (2 shared papers)
- Journals
- The Journal of Cell Biology (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Journal of Clinical Investigation (1 paper)Novartis Foundation symposium (1 paper)Developmental Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Kitty Tang
11 papers receiving 685 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 376
- Immunology and Allergy 60
- Molecular Biology 434
- Physiology 28
- Physiology 112
Countries citing papers authored by Kitty Tang
This map shows the geographic impact of Kitty Tang'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 Kitty Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitty Tang more than expected).
Fields of papers citing papers by Kitty Tang
This network shows the impact of papers produced by Kitty Tang. 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 Kitty Tang. The network helps show where Kitty Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kitty Tang, 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 | 1998 | 189 | |
| 2 | 2004 | 134 | |
| 3 | 1999 | 124 | |
| 4 | 1991 | 66 | |
| 5 | 2006 | 46 | |
| 6 | 1995 | 39 | |
| 7 | 1993 | 33 | |
| 8 | 1993 | 28 | |
| 9 | 2001 | 23 | |
| 10 | A Model Protein to Study Transcytosis | 1991 | 13 |
| 11 | 2005 | 8 |
About Kitty Tang
Kitty Tang is a scholar working on Cell Biology, Molecular Biology, Surgery, Physiology and Neurology, having authored 11 papers that have together received 703 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Pancreatic function and diabetes (3 papers), Lipid Membrane Structure and Behavior (2 papers), Barrier Structure and Function Studies (2 papers), Caveolin-1 and cellular processes (2 papers), Blood properties and coagulation (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (376 citations), Immunology and Allergy (60 citations), Molecular Biology (434 citations), Physiology (28 citations) and Physiology (112 citations). Kitty Tang has collaborated with scholars based in United States. Frequent co-authors include Keith E. Mostov, Yoram Altschuler, Gerard Apodaca, Lucy Erin O’Brien, Laura J. Terlecky, Sandra L. Schmid, Stephen Hardy, Joshua H. Lipschutz, Amy Schutz‐Geschwender and Frances M. Brodsky. Their work appears in journals such as The Journal of Cell Biology, Cold Spring Harbor Symposia on Quantitative Biology, Journal of Clinical Investigation, Novartis Foundation symposium and Developmental Cell.
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.