Ting Pan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 2%
- Immune cells in cancer
- interferon and immune responses
Papers in
-
- Extracellular vesicles in disease 10
- RNA modifications and cancer 10
- Immunology 43
- interferon and immune responses 11
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 10
- Co-authors
- Hui Zhang (41 shared papers)Chuan Bai (6 shared papers)Haihua Luo (9 shared papers)Xin He (13 shared papers)Xinbing Sui (8 shared papers)Ting Jin (7 shared papers)Tian Xie (7 shared papers)Feng Huang (10 shared papers)
- Journals
- ACS Applied Materials & Interfaces (5 papers)Journal of Virology (5 papers)mBio (5 papers)Biomedicine & Pharmacotherapy (4 papers)Optics Express (4 papers)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Ting Pan
249 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 167
- Cancer Research 628
- Immunology 915
- Virology 171
- Molecular Biology 2.3k
- Infectious Diseases 576
Countries citing papers authored by Ting Pan
This map shows the geographic impact of Ting 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 Ting Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Pan more than expected).
Fields of papers citing papers by Ting Pan
This network shows the impact of papers produced by Ting 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 Ting Pan. The network helps show where Ting Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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 269 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 228 | |
| 2 | 2021 | 204 | |
| 3 | 2017 | 200 | |
| 4 | METTL3 plays multiple functions in biological processes. | 2020 | 173 |
| 5 | 2020 | 149 | |
| 6 | 2012 | 136 | |
| 7 | 2018 | 121 | |
| 8 | 2019 | 115 | |
| 9 | 2015 | 115 | |
| 10 | 2013 | 110 | |
| 11 | 2015 | 108 | |
| 12 | 2011 | 108 | |
| 13 | 2017 | 104 | |
| 14 | 2016 | 95 | |
| 15 | 2015 | 94 | |
| 16 | 2021 | 87 | |
| 17 | 2019 | 86 | |
| 18 | 2022 | 81 | |
| 19 | 2021 | 78 | |
| 20 | 2020 | 78 |
About Ting Pan
Ting Pan is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Electrical and Electronic Engineering, having authored 269 papers that have together received 6.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), interferon and immune responses (11 papers), Immune Cell Function and Interaction (11 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Immunotherapy and Immune Responses (10 papers), Photonic and Optical Devices (10 papers), Extracellular vesicles in disease (10 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (628 citations), Immunology (915 citations), Virology (171 citations), Molecular Biology (2.3k citations) and Infectious Diseases (576 citations). Ting Pan has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Hui Zhang, Chuan Bai, Haihua Luo, Xin He, Xinbing Sui, Ting Jin, Tian Xie, Feng Huang, Kang Wu and Yikai Su. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Virology, mBio, Biomedicine & Pharmacotherapy and Optics Express.
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.