Dongli Pan
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- RNA regulation and disease
Papers in
- Epidemiology 26
- Herpesvirus Infections and Treatments 23
- Cytomegalovirus and herpesvirus research 5
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- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 10
- RNA Research and Splicing 6
- Co-authors
- Barry S. Cooperman (12 shared papers)S.V. Kirillov (3 shared papers)Donald M. Coen (10 shared papers)Jean M. Pesola (6 shared papers)David M. Knipe (5 shared papers)Priya Raja (3 shared papers)Pamela C. Rosato (1 shared paper)Jennifer L. Umbach (1 shared paper)
- Journals
- Journal of Virology (4 papers)mBio (3 papers)Viruses (3 papers)Proceedings of the National Academy of Sciences (2 papers)RNA (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Dongli Pan
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Epidemiology 339
- Molecular Biology 729
- Virology 39
- Immunology 166
- Genetics 199
Countries citing papers authored by Dongli Pan
This map shows the geographic impact of Dongli 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 Dongli Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongli Pan more than expected).
Fields of papers citing papers by Dongli Pan
This network shows the impact of papers produced by Dongli 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 Dongli Pan. The network helps show where Dongli Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongli 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 160 | |
| 2 | 2014 | 129 | |
| 3 | 2008 | 67 | |
| 4 | 2007 | 57 | |
| 5 | 2008 | 47 | |
| 6 | 2021 | 47 | |
| 7 | 2018 | 47 | |
| 8 | 2007 | 45 | |
| 9 | 2006 | 42 | |
| 10 | 2016 | 37 | |
| 11 | 2010 | 35 | |
| 12 | 2013 | 34 | |
| 13 | 2004 | 33 | |
| 14 | 2016 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2008 | 21 | |
| 17 | 2012 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2008 | 18 | |
| 20 | 2024 | 17 |
About Dongli Pan
Dongli Pan is a scholar working on Epidemiology, Molecular Biology, Immunology, Genetics and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (23 papers), RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (10 papers), interferon and immune responses (9 papers), RNA Research and Splicing (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Virus-based gene therapy research (5 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Epidemiology (339 citations), Molecular Biology (729 citations), Virology (39 citations), Immunology (166 citations) and Genetics (199 citations). Dongli Pan has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Barry S. Cooperman, S.V. Kirillov, Donald M. Coen, Jean M. Pesola, David M. Knipe, Priya Raja, Pamela C. Rosato, Jennifer L. Umbach, Omar Flores and Jennifer S. Lee. Their work appears in journals such as Journal of Virology, mBio, Viruses, Proceedings of the National Academy of Sciences and RNA.
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.