F Wang
Impact in
- Oncology top 1%
- Viral-associated cancers and disorders
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 12
- Viral-associated cancers and disorders 10
- Cancer-related Molecular Pathways 1
- Pancreatic and Hepatic Oncology Research 1
-
- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Elliott Kieff (9 shared papers)Jeffrey I. Cohen (3 shared papers)C D Gregory (2 shared papers)Alan B. Rickinson (2 shared papers)D Liebowitz (2 shared papers)Joan B. Mannick (1 shared paper)Clare E. Sample (1 shared paper)Ryan Murray (1 shared paper)
- Journals
- Journal of Virology (8 papers)Proceedings of the National Academy of Sciences (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
F Wang
12 papers receiving 1.9k citations
F Wang's Hit Papers
Peers
Comparison fields: 5 of 56
- Oncology 1.7k
- Pathology and Forensic Medicine 907
- Infectious Diseases 451
- Immunology 461
- Epidemiology 484
Countries citing papers authored by F Wang
This map shows the geographic impact of F Wang'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 F Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Wang more than expected).
Fields of papers citing papers by F Wang
This network shows the impact of papers produced by F Wang. 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 F Wang. The network helps show where F Wang may publish in the future.
Co-authors
The 20 scholars most cited alongside F Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Epstein-Barr virus latent membrane protein (LMP1) and nuclear proteins 2 and 3C are effectors of phenotypic changes in B lymphocytes: EBNA-2 and LMP1 cooperatively induce CD23 Hit paper breakdown → | 1990 | 517 |
| 2 | 1989 | 431 | |
| 3 | 1988 | 367 | |
| 4 | 1991 | 167 | |
| 5 | 1996 | 88 | |
| 6 | 1986 | 86 | |
| 7 | 1991 | 79 | |
| 8 | 2006 | 68 | |
| 9 | 1995 | 47 | |
| 10 | 1991 | 37 | |
| 11 | 1992 | 15 | |
| 12 | 2010 | 14 |
About F Wang
F Wang is a scholar working on Oncology, Pathology and Forensic Medicine, Infectious Diseases, Epidemiology and Physiology, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Lymphoma Diagnosis and Treatment (6 papers), Parvovirus B19 Infection Studies (5 papers), Histiocytic Disorders and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer-related Molecular Pathways (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (1.7k citations), Pathology and Forensic Medicine (907 citations), Infectious Diseases (451 citations), Immunology (461 citations) and Epidemiology (484 citations). F Wang has collaborated with scholars based in United States and India. Frequent co-authors include Elliott Kieff, Jeffrey I. Cohen, C D Gregory, Alan B. Rickinson, D Liebowitz, Joan B. Mannick, Clare E. Sample, Ryan Murray, Martin Rowe and Richard A. Larson. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences and Oncogene.
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.