Cuiping Pan
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
Papers in
-
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
- Plant Reproductive Biology 2
- Surgery 3
- Co-authors
- Matthias Mann (6 shared papers)Chanchal Kumar (1 shared paper)Sebastian Böhl (1 shared paper)Ursula Klingmueller (1 shared paper)Jesper V. Olsen (2 shared papers)Henrik Daub (1 shared paper)Florian Gnad (1 shared paper)Ralf Jäger (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)Bioinformatics (2 papers)Nature Communications (2 papers)Traffic (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Cuiping Pan
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Spectroscopy 216
- Physiology 55
- Cell Biology 175
- Molecular Biology 654
- Aging 14
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 414 | |
| 2 | 2009 | 179 | |
| 3 | 2007 | 160 | |
| 4 | 2008 | 87 | |
| 5 | 2014 | 51 | |
| 6 | 2018 | 49 | |
| 7 | 2010 | 34 | |
| 8 | 2022 | 32 | |
| 9 | 2004 | 25 | |
| 10 | 2015 | 13 | |
| 11 | 2024 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2005 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Cuiping Pan
Cuiping Pan is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Biochemistry, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Plant Physiology and Cultivation Studies (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Plant Reproductive Biology (2 papers), Aortic aneurysm repair treatments (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Spectroscopy (216 citations), Physiology (55 citations), Cell Biology (175 citations), Molecular Biology (654 citations) and Aging (14 citations). Cuiping Pan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Matthias Mann, Chanchal Kumar, Sebastian Böhl, Ursula Klingmueller, Jesper V. Olsen, Henrik Daub, Florian Gnad, Ralf Jäger, Hans‐Peter Elsässer and Bernd Schröder. Their work appears in journals such as Molecular & Cellular Proteomics, Bioinformatics, Nature Communications, Traffic and Clinical Neurophysiology.
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.