Weiwei Pan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Ubiquitin and proteasome pathways 4
- Epigenetics and DNA Methylation 4
- Nuclear Structure and Function 4
- Retinoids in leukemia and cellular processes 3
- RNA regulation and disease 3
- Oncology 7
- Co-authors
- Ying Xu (8 shared papers)Shengbing Liu (7 shared papers)Zhong‐Fei Shen (4 shared papers)Yanjun Guo (2 shared papers)Lingling Hu (1 shared paper)Kun‐Liang Guan (2 shared papers)Toshiro Moroishi (2 shared papers)Matthew V. Holt (1 shared paper)
- Journals
- Virus Research (4 papers)Journal of Photochemistry and Photobiology B Biology (2 papers)Cellular and Molecular Life Sciences (2 papers)Journal of Ovarian Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Weiwei Pan
37 papers receiving 2.2k citations
Weiwei Pan's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 318
- Cell Biology 336
- Biological Psychiatry 42
- Molecular Biology 1.1k
- Oncology 384
Countries citing papers authored by Weiwei Pan
This map shows the geographic impact of Weiwei 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 Weiwei Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Pan more than expected).
Fields of papers citing papers by Weiwei Pan
This network shows the impact of papers produced by Weiwei 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 Weiwei Pan. The network helps show where Weiwei Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ERK/MAPK signalling pathway and tumorigenesis (Review) Hit paper breakdown → | 2020 | 1145 |
| 2 | 2016 | 328 | |
| 3 | 2013 | 101 | |
| 4 | 2013 | 70 | |
| 5 | 2018 | 70 | |
| 6 | 2010 | 53 | |
| 7 | 2013 | 50 | |
| 8 | 2018 | 36 | |
| 9 | 2010 | 33 | |
| 10 | 2009 | 30 | |
| 11 | 2010 | 30 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2022 | 25 | |
| 15 | 2023 | 24 | |
| 16 | 2021 | 19 | |
| 17 | 2023 | 18 | |
| 18 | 2013 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2020 | 16 |
About Weiwei Pan
Weiwei Pan is a scholar working on Molecular Biology, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (4 papers), Nuclear Structure and Function (4 papers), Retinoids in leukemia and cellular processes (3 papers), T-cell and Retrovirus Studies (3 papers), Poxvirus research and outbreaks (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cancer Research (318 citations), Cell Biology (336 citations), Biological Psychiatry (42 citations), Molecular Biology (1.1k citations) and Oncology (384 citations). Weiwei Pan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Ying Xu, Shengbing Liu, Zhong‐Fei Shen, Yanjun Guo, Lingling Hu, Kun‐Liang Guan, Toshiro Moroishi, Matthew V. Holt, Jun Qin and Yu Fujita. Their work appears in journals such as Virus Research, Journal of Photochemistry and Photobiology B Biology, Cellular and Molecular Life Sciences, Journal of Ovarian Research and Journal of Biological Chemistry.
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.