Xiaohu Wan
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Photosynthetic Processes and Mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 4
- Protist diversity and phylogeny 2
- Photosynthetic Processes and Mechanisms 2
- Mitochondrial Function and Pathology 2
- Ubiquitin and proteasome pathways 2
- Cell Biology 11
- Microtubule and mitosis dynamics 11
- Co-authors
- Edward D. Salmon (6 shared papers)Daniela Cimini (4 shared papers)Arshad Desai (4 shared papers)Jennifer G. DeLuca (4 shared papers)Dileep Varma (3 shared papers)Reto Gassmann (2 shared papers)Ryan O'Quinn (2 shared papers)Bruce F. McEwen (2 shared papers)
- Journals
- The Journal of Cell Biology (3 papers)Genes & Development (1 paper)Nature Cell Biology (1 paper)Current Biology (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Xiaohu Wan
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 48
- Cell Biology 911
- Molecular Biology 911
- Plant Science 260
- Biophysics 23
- Structural Biology 5
Countries citing papers authored by Xiaohu Wan
This map shows the geographic impact of Xiaohu Wan'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 Xiaohu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohu Wan more than expected).
Fields of papers citing papers by Xiaohu Wan
This network shows the impact of papers produced by Xiaohu Wan. 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 Xiaohu Wan. The network helps show where Xiaohu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohu Wan, 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 | 2006 | 312 | |
| 2 | 2009 | 278 | |
| 3 | 2010 | 150 | |
| 4 | 2012 | 73 | |
| 5 | 2014 | 67 | |
| 6 | 2013 | 53 | |
| 7 | 2012 | 44 | |
| 8 | 2013 | 38 | |
| 9 | 2013 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 0 |
About Xiaohu Wan
Xiaohu Wan is a scholar working on Molecular Biology, Cell Biology, Plant Science, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Genomics and Chromatin Dynamics (4 papers), Protist diversity and phylogeny (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Mitochondrial Function and Pathology (2 papers), Ubiquitin and proteasome pathways (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Cell Biology (911 citations), Molecular Biology (911 citations), Plant Science (260 citations), Biophysics (23 citations) and Structural Biology (5 citations). Xiaohu Wan has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Edward D. Salmon, Daniela Cimini, Arshad Desai, Jennifer G. DeLuca, Dileep Varma, Reto Gassmann, Ryan O'Quinn, Bruce F. McEwen, P. Todd Stukenberg and Christopher W. Carroll. Their work appears in journals such as The Journal of Cell Biology, Genes & Development, Nature Cell Biology, Current Biology and Molecular Biology of the 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.