F Wang

2.1k citations
12 papers · 1.9k · 1 hit paper · h-index 12

Impact in

Papers in

F Wang

12 papers receiving 1.9k citations

F Wang's Hit Papers

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 1990 · 519 citations
5190+12+24Years since publication100200300400500

Peers

F Wang
Comparison fields: 5 of 56
  • Oncology 1.7k
  • Pathology and Forensic Medicine 909
  • Infectious Diseases 453
  • Immunology 464
  • Epidemiology 490
Replace D Liebowitz with:
D Liebowitz United States
H. Rupani United Kingdom
Laurent Degos France
Barbro Ehlin‐Henriksson Sweden
E Kieff United States
G. W. Bornkamm France
Leandros Arvanitakis United States
Wendy A. Thomas United Kingdom
Noémi Anna Nagy Sweden
Michèle Vuillaume France
F Wang relative to D Liebowitz United States D Liebowitz's profile →
Citations per field
00.5×1.5×2.1×
D Liebowitz · 1×
Citations per year

Countries citing papers authored by F Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with F Wang Line = papers co-authored together F Wang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#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 →
1990519
2 1989435
3 1988370
4 1991169
5 199687
6 198686
7 199179
8 200670
9 199546
10 199137
11 201015
12 199215

About F Wang

F Wang is a scholar working on Oncology, Pathology and Forensic Medicine, Infectious Diseases, Physiology and Epidemiology, 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), Polyomavirus and related diseases (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Oncology (1.7k citations), Pathology and Forensic Medicine (909 citations), Infectious Diseases (453 citations), Immunology (464 citations) and Epidemiology (490 citations). F Wang has collaborated with scholars based in United States and India. Frequent co-authors include Elliott D. Kieff, Jeffrey I. Cohen, Alan B. Rickinson, D Liebowitz, C D Gregory, Joan B. Mannick, Ryan M. Murray, Clare E. Sample, Martin Rowe and Richard A. Larson. Their work appears in journals such as Journal of Virology, Oncogene and Proceedings of the National Academy of Sciences.

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.

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