Ganhui Lan
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
-
- Advanced Thermodynamics and Statistical Mechanics
Papers in
-
- Gene Regulatory Network Analysis 4
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Sean X. Sun (10 shared papers)Yuhai Tu (6 shared papers)Victor Sourjik (3 shared papers)Denis Wirtz (3 shared papers)Silke Neumann (2 shared papers)Pablo Sartori (1 shared paper)Alex Dajkovic (2 shared papers)Charles W. Wolgemuth (1 shared paper)
- Journals
- Biophysical Journal (5 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Ganhui Lan
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Cell Biology 264
- Statistical and Nonlinear Physics 205
- Genetics 366
- Molecular Biology 662
- Ecology 191
Countries citing papers authored by Ganhui Lan
This map shows the geographic impact of Ganhui Lan'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 Ganhui Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganhui Lan more than expected).
Fields of papers citing papers by Ganhui Lan
This network shows the impact of papers produced by Ganhui Lan. 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 Ganhui Lan. The network helps show where Ganhui Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ganhui Lan, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 285 | |
| 2 | 2008 | 167 | |
| 3 | 2008 | 112 | |
| 4 | 2007 | 105 | |
| 5 | 2020 | 73 | |
| 6 | 2017 | 68 | |
| 7 | 2004 | 55 | |
| 8 | 2016 | 50 | |
| 9 | 2008 | 49 | |
| 10 | 2005 | 44 | |
| 11 | 2011 | 37 | |
| 12 | 2014 | 37 | |
| 13 | 2011 | 34 | |
| 14 | 2013 | 22 | |
| 15 | 2006 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2011 | 17 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 9 | |
| 20 | 2008 | 8 |
About Ganhui Lan
Ganhui Lan is a scholar working on Molecular Biology, Genetics, Cell Biology, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Cellular Mechanics and Interactions (5 papers), Force Microscopy Techniques and Applications (4 papers), Photoreceptor and optogenetics research (4 papers), Gene Regulatory Network Analysis (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Cell Biology (264 citations), Statistical and Nonlinear Physics (205 citations), Genetics (366 citations), Molecular Biology (662 citations) and Ecology (191 citations). Ganhui Lan has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Sean X. Sun, Yuhai Tu, Victor Sourjik, Denis Wirtz, Silke Neumann, Pablo Sartori, Alex Dajkovic, Charles W. Wolgemuth, Joe Lutkenhaus and Brian R. Daniels. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Nature Communications, Molecular Biology of the Cell 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.