Junmin Pan
Impact in
- Genetics top 1%
- Genetic and Kidney Cyst Diseases
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- Algal biology and biofuel production
Papers in
- Genetics 52
- Genetic and Kidney Cyst Diseases 52
-
- Algal biology and biofuel production 4
- Co-authors
- William J. Snell (17 shared papers)Yinwen Liang (9 shared papers)Qian Wang (2 shared papers)Muqing Cao (8 shared papers)Dan Meng (8 shared papers)Liang Wang (6 shared papers)Bing Zhu (3 shared papers)Yinan Kan (2 shared papers)
- Journals
- Journal of Cell Science (6 papers)Current Biology (4 papers)Cell (4 papers)Molecular Biology of the Cell (3 papers)Developmental Cell (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junmin Pan
61 papers receiving 4.9k citations
Junmin Pan's Hit Papers
Peers
Comparison fields: 5 of 119
- Genetics 2k
- Renewable Energy, Sustainability and the Environment 756
- Molecular Biology 1.7k
- Cell Biology 269
- Biotechnology 125
Countries citing papers authored by Junmin Pan
This map shows the geographic impact of Junmin Pan'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 Junmin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junmin Pan more than expected).
Fields of papers citing papers by Junmin Pan
This network shows the impact of papers produced by Junmin Pan. 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 Junmin Pan. The network helps show where Junmin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junmin Pan, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions Hit paper breakdown → | 2007 | 2246 |
| 2 | 2005 | 191 | |
| 3 | 2007 | 146 | |
| 4 | 2004 | 140 | |
| 5 | 2006 | 131 | |
| 6 | 2004 | 127 | |
| 7 | 2009 | 115 | |
| 8 | 2014 | 100 | |
| 9 | 2014 | 92 | |
| 10 | 2005 | 91 | |
| 11 | 2009 | 88 | |
| 12 | 2016 | 85 | |
| 13 | 2017 | 84 | |
| 14 | 2000 | 69 | |
| 15 | 2012 | 69 | |
| 16 | 2013 | 64 | |
| 17 | 2002 | 63 | |
| 18 | 2022 | 55 | |
| 19 | 2002 | 53 | |
| 20 | 2017 | 50 |
About Junmin Pan
Junmin Pan is a scholar working on Genetics, Renewable Energy, Sustainability and the Environment, Molecular Biology, Cell Biology and Sensory Systems, having authored 66 papers that have together received 5k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (52 papers), Algal biology and biofuel production (4 papers), Microtubule and mitosis dynamics (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), ATP Synthase and ATPases Research (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Genetics (2k citations), Renewable Energy, Sustainability and the Environment (756 citations), Molecular Biology (1.7k citations), Cell Biology (269 citations) and Biotechnology (125 citations). Junmin Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include William J. Snell, Yinwen Liang, Qian Wang, Muqing Cao, Dan Meng, Liang Wang, Bing Zhu, Yinan Kan, Zhangfeng Hu and Minna Luo. Their work appears in journals such as Journal of Cell Science, Current Biology, Cell, Molecular Biology of the Cell 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.