Pan Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
Papers in
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- Advanced Graph Neural Networks 11
- Topic Modeling 4
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- Bioinformatics and Genomic Networks 3
- Co-authors
- W. Andy Tao (9 shared papers)Jian‐Kang Zhu (4 shared papers)Anton Iliuk (4 shared papers)Chuan‐Chih Hsu (3 shared papers)Sebastian Juan Paez (3 shared papers)Michael K. Wendt (3 shared papers)I‐Hsuan Chen (2 shared papers)Liang Xue (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Research (1 paper)Computer Modeling in Engineering & Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Pan Li
38 papers receiving 873 citations
Pan Li's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 191
- Molecular Biology 579
- Immunology and Allergy 44
- Computational Mathematics 4
- Artificial Intelligence 152
Countries citing papers authored by Pan Li
This map shows the geographic impact of Pan Li'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 Pan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Li more than expected).
Fields of papers citing papers by Pan Li
This network shows the impact of papers produced by Pan Li. 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 Pan Li. The network helps show where Pan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Li, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phosphoproteins in extracellular vesicles as candidate markers for breast cancer Hit paper breakdown → | 2017 | 354 |
| 2 | 2016 | 78 | |
| 3 | 2018 | 66 | |
| 4 | 2018 | 51 | |
| 5 | 2017 | 46 | |
| 6 | 2022 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2012 | 24 | |
| 10 | Conditional Structure Generation through Graph Variational Generative Adversarial Nets | 2019 | 22 |
| 11 | 2022 | 20 | |
| 12 | 2019 | 18 | |
| 13 | 2008 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2019 | 11 | |
| 16 | 2011 | 11 | |
| 17 | Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks | 2021 | 7 |
| 18 | Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering | 2018 | 7 |
| 19 | Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning | 2020 | 6 |
| 20 | Graph Information Bottleneck | 2020 | 6 |
About Pan Li
Pan Li is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Spectroscopy, having authored 40 papers that have together received 886 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Topic Modeling (4 papers), Plant Molecular Biology Research (3 papers), Machine Learning in Materials Science (3 papers), Bioinformatics and Genomic Networks (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Cancer Research (191 citations), Molecular Biology (579 citations), Immunology and Allergy (44 citations), Computational Mathematics (4 citations) and Artificial Intelligence (152 citations). Pan Li has collaborated with scholars based in United States, China and India. Frequent co-authors include W. Andy Tao, Jian‐Kang Zhu, Anton Iliuk, Chuan‐Chih Hsu, Sebastian Juan Paez, Michael K. Wendt, I‐Hsuan Chen, Liang Xue, Jure Leskovec and Heng Zhang. Their work appears in journals such as Analytical Chemistry, Proceedings of the National Academy of Sciences, Cancer Research, Computer Modeling in Engineering & Sciences and Journal of the American Chemical Society.
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.