Cuiping Pan
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 3
- Co-authors
- Matthias Mann (6 shared papers)Sebastian Böhl (1 shared paper)Chanchal Kumar (1 shared paper)Ursula Klingmüller (1 shared paper)Jesper Velgaard Olsen (2 shared papers)Henrik Daub (1 shared paper)Florian Gnad (1 shared paper)Philip S. Tsao (7 shared papers)
- Journals
- Molecular & Cellular Proteomics (2 papers)Bioinformatics (2 papers)The American Journal of Human Genetics (2 papers)Circulation (2 papers)Frontiers in Cardiovascular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cuiping Pan
32 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 134
- Genetics 407
- Spectroscopy 216
- Physiology 57
- Molecular Biology 846
- Cancer Research 159
Countries citing papers authored by Cuiping Pan
This map shows the geographic impact of Cuiping 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 Cuiping Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiping Pan more than expected).
Fields of papers citing papers by Cuiping Pan
This network shows the impact of papers produced by Cuiping 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 Cuiping Pan. The network helps show where Cuiping Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiping 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 450 | |
| 2 | 2014 | 351 | |
| 3 | 2009 | 187 | |
| 4 | 2007 | 163 | |
| 5 | 2020 | 126 | |
| 6 | 2020 | 100 | |
| 7 | 2008 | 90 | |
| 8 | 2012 | 88 | |
| 9 | 2018 | 65 | |
| 10 | 2014 | 53 | |
| 11 | 2022 | 40 | |
| 12 | 2010 | 34 | |
| 13 | 2024 | 29 | |
| 14 | 2004 | 25 | |
| 15 | 2015 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2025 | 11 |
About Cuiping Pan
Cuiping Pan is a scholar working on Biochemistry, Molecular Biology, Rheumatology, Cell Biology and Genetics, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (5 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (3 papers), Aortic Disease and Treatment Approaches (3 papers), Plant Physiology and Cultivation Studies (3 papers), IgG4-Related and Inflammatory Diseases (3 papers), Complex Systems and Time Series Analysis (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Genetics (407 citations), Spectroscopy (216 citations), Physiology (57 citations), Molecular Biology (846 citations) and Cancer Research (159 citations). Cuiping Pan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Matthias Mann, Sebastian Böhl, Chanchal Kumar, Ursula Klingmüller, Jesper Velgaard Olsen, Henrik Daub, Florian Gnad, Philip S. Tsao, Michael Snyder and Bernd Schröder. Their work appears in journals such as Molecular & Cellular Proteomics, Bioinformatics, The American Journal of Human Genetics, Circulation and Frontiers in Cardiovascular Medicine.
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.