Shuling Fan
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Aging top 5%
Papers in
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- Renal and related cancers 4
- Wnt/β-catenin signaling in development and cancer 4
- Nuclear Structure and Function 3
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- Hippo pathway signaling and YAP/TAZ 7
- Microtubule and mitosis dynamics 3
- Co-authors
- Ben Margolis (12 shared papers)Chia‐Jen Liu (7 shared papers)Toby W. Hurd (6 shared papers)Samuel W. Straight (3 shared papers)Michael H. Roh (2 shared papers)Jeffrey R. Martens (2 shared papers)John F. Dishinger (2 shared papers)Kristen J. Verhey (2 shared papers)
- Journals
- Molecular Biology of the Cell (5 papers)Molecular and Cellular Biology (2 papers)JCI Insight (2 papers)Current Biology (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Shuling Fan
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Cell Biology 809
- Aging 43
- Genetics 543
- Neurology 152
- Molecular Biology 1.2k
Countries citing papers authored by Shuling Fan
This map shows the geographic impact of Shuling Fan'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 Shuling Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Fan more than expected).
Fields of papers citing papers by Shuling Fan
This network shows the impact of papers produced by Shuling Fan. 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 Shuling Fan. The network helps show where Shuling Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuling Fan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 226 | |
| 2 | 2003 | 181 | |
| 3 | 2004 | 177 | |
| 4 | 2004 | 155 | |
| 5 | 2003 | 134 | |
| 6 | 2002 | 127 | |
| 7 | 2009 | 115 | |
| 8 | 2007 | 110 | |
| 9 | 2013 | 98 | |
| 10 | 2011 | 87 | |
| 11 | 2011 | 59 | |
| 12 | 2013 | 45 | |
| 13 | 2019 | 39 | |
| 14 | 2019 | 36 | |
| 15 | 2020 | 36 | |
| 16 | 2015 | 34 | |
| 17 | 2011 | 20 | |
| 18 | 2002 | 19 | |
| 19 | 2022 | 10 | |
| 20 | What goes around, comes around: a review of circulating tumor cells. | 2010 | 7 |
About Shuling Fan
Shuling Fan is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Rehabilitation, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (7 papers), Genetic and Kidney Cyst Diseases (6 papers), Renal and related cancers (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Wound Healing and Treatments (3 papers), Microtubule and mitosis dynamics (3 papers), Barrier Structure and Function Studies (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Cell Biology (809 citations), Aging (43 citations), Genetics (543 citations), Neurology (152 citations) and Molecular Biology (1.2k citations). Shuling Fan has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ben Margolis, Chia‐Jen Liu, Toby W. Hurd, Samuel W. Straight, Michael H. Roh, Jeffrey R. Martens, John F. Dishinger, Kristen J. Verhey, Eileen L. Whiteman and Seonok Lee. Their work appears in journals such as Molecular Biology of the Cell, Molecular and Cellular Biology, JCI Insight, Current Biology and Journal of Cell 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.