Teng Pan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Extracellular vesicles in disease 5
- TGF-β signaling in diseases 4
- Circular RNAs in diseases 3
- Oncology 11
- Co-authors
- Jingjing Liu (7 shared papers)Lixia Cao (5 shared papers)Dongdong Zhou (6 shared papers)Haiyan Yang (10 shared papers)Yadong Wang (10 shared papers)Shaorong Zhao (3 shared papers)Zhendong Shi (4 shared papers)Jin Zhang (2 shared papers)
- Journals
- Scientific Reports (3 papers)Oncotarget (3 papers)Frontiers in Oncology (3 papers)Clinical Interventions in Aging (2 papers)Cell Proliferation (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Teng Pan
53 papers receiving 693 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 207
- Molecular Biology 393
- Geriatrics and Gerontology 20
- Oncology 125
- Sensory Systems 15
Countries citing papers authored by Teng Pan
This map shows the geographic impact of Teng 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 Teng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Pan more than expected).
Fields of papers citing papers by Teng Pan
This network shows the impact of papers produced by Teng 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 Teng Pan. The network helps show where Teng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Teng 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 126 | |
| 2 | 2018 | 56 | |
| 3 | 2023 | 33 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 25 | |
| 9 | 2019 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2018 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2017 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2020 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2018 | 13 |
About Teng Pan
Teng Pan is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Immunology, having authored 58 papers that have together received 699 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (5 papers), Extracellular vesicles in disease (5 papers), Guidance and Control Systems (4 papers), TGF-β signaling in diseases (4 papers), Emergency and Acute Care Studies (4 papers), Military Defense Systems Analysis (4 papers), Pneumonia and Respiratory Infections (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (207 citations), Molecular Biology (393 citations), Geriatrics and Gerontology (20 citations), Oncology (125 citations) and Sensory Systems (15 citations). Teng Pan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jingjing Liu, Lixia Cao, Dongdong Zhou, Haiyan Yang, Yadong Wang, Shaorong Zhao, Zhendong Shi, Jin Zhang, Jinhai Deng and Haiyu Wang. Their work appears in journals such as Scientific Reports, Oncotarget, Frontiers in Oncology, Clinical Interventions in Aging and Cell Proliferation.
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.