Meng Pan
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Rheumatology top 2%
- Urticaria and Related Conditions
Papers in
-
- Autoimmune Bullous Skin Diseases 35
- Rheumatology 29
- Urticaria and Related Conditions 21
- Co-authors
- Jie Zheng (26 shared papers)Zhinan Yin (3 shared papers)Joe Craft (2 shared papers)Yunfei Gao (1 shared paper)Wancai Yang (1 shared paper)Michael Girardi (1 shared paper)Eileen P. Scully (1 shared paper)Leonard H. Augenlicht (1 shared paper)
- Journals
- British Journal of Dermatology (5 papers)Journal of Investigative Dermatology (4 papers)The Journal of Dermatology (4 papers)Biomaterials (3 papers)Food and Chemical Toxicology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Meng Pan
106 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 126
- Immunology 788
- Rheumatology 527
- Pathology and Forensic Medicine 552
- Genetics 316
- Dermatology 226
Countries citing papers authored by Meng Pan
This map shows the geographic impact of Meng 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 Meng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Pan more than expected).
Fields of papers citing papers by Meng Pan
This network shows the impact of papers produced by Meng 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 Meng Pan. The network helps show where Meng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 358 | |
| 2 | 2020 | 170 | |
| 3 | 2012 | 134 | |
| 4 | Isolation and identification of cancer stem-like cells from murine melanoma cell lines. | 2007 | 116 |
| 5 | 2017 | 97 | |
| 6 | 2021 | 89 | |
| 7 | 2019 | 88 | |
| 8 | 2016 | 86 | |
| 9 | 2022 | 72 | |
| 10 | 2020 | 69 | |
| 11 | 2013 | 62 | |
| 12 | 2014 | 56 | |
| 13 | 2006 | 55 | |
| 14 | 2021 | 51 | |
| 15 | 2019 | 48 | |
| 16 | 2013 | 48 | |
| 17 | 2023 | 46 | |
| 18 | 2011 | 46 | |
| 19 | 2020 | 44 | |
| 20 | 2017 | 37 |
About Meng Pan
Meng Pan is a scholar working on Pathology and Forensic Medicine, Rheumatology, Immunology, Genetics and Molecular Biology, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (35 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (21 papers), Urticaria and Related Conditions (21 papers), Nanoplatforms for cancer theranostics (9 papers), Platelet Disorders and Treatments (8 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (788 citations), Rheumatology (527 citations), Pathology and Forensic Medicine (552 citations), Genetics (316 citations) and Dermatology (226 citations). Meng Pan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jie Zheng, Zhinan Yin, Joe Craft, Yunfei Gao, Wancai Yang, Michael Girardi, Eileen P. Scully, Leonard H. Augenlicht, Huijie Yuan and Haiqin Zhu. Their work appears in journals such as British Journal of Dermatology, Journal of Investigative Dermatology, The Journal of Dermatology, Biomaterials and Food and Chemical Toxicology.
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.