Shuling Fan
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
Papers in
- Cell Biology 10
- Hippo pathway signaling and YAP/TAZ 7
- Microtubule and mitosis dynamics 4
- Genetics 8
- Genetic and Kidney Cyst Diseases 8
- Co-authors
- Ben L. Margolis (13 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)John F. Dishinger (2 shared papers)Jeffrey R. Martens (2 shared papers)Kristen Verhey (2 shared papers)
- Journals
- Molecular Biology of the Cell (5 papers)JCI Insight (3 papers)Journal of Cell Science (2 papers)Molecular and Cellular Biology (2 papers)Current Biology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Shuling Fan
27 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 84
- Cell Biology 863
- Genetics 898
- Aging 44
- Molecular Biology 1.5k
- Neurology 153
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 339 | |
| 2 | 2010 | 228 | |
| 3 | 2003 | 179 | |
| 4 | 2004 | 174 | |
| 5 | 2013 | 164 | |
| 6 | 2004 | 157 | |
| 7 | 2003 | 131 | |
| 8 | 2002 | 126 | |
| 9 | 2009 | 113 | |
| 10 | 2007 | 106 | |
| 11 | 2013 | 98 | |
| 12 | 2011 | 85 | |
| 13 | 2011 | 59 | |
| 14 | 2013 | 47 | |
| 15 | 2019 | 42 | |
| 16 | 2020 | 40 | |
| 17 | 2019 | 38 | |
| 18 | 2015 | 34 | |
| 19 | 2011 | 20 | |
| 20 | 2002 | 19 |
About Shuling Fan
Shuling Fan is a scholar working on Cell Biology, Genetics, Molecular Biology, Rehabilitation and Neurology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Renal and related cancers (5 papers), Microtubule and mitosis dynamics (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Nuclear Structure and Function (3 papers), Wound Healing and Treatments (3 papers) and Barrier Structure and Function Studies (3 papers). The work is most often cited by research in Cell Biology (863 citations), Genetics (898 citations), Aging (44 citations), Molecular Biology (1.5k citations) and Neurology (153 citations). Shuling Fan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ben L. Margolis, Chia‐Jen Liu, Toby W. Hurd, Samuel W. Straight, Michael H. Roh, John F. Dishinger, Jeffrey R. Martens, Kristen Verhey, Eileen L. Whiteman and Seonok Lee. Their work appears in journals such as Molecular Biology of the Cell, JCI Insight, Journal of Cell Science, Molecular and Cellular Biology and Current Biology.
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.