Victoria Wang

3.5k total citations
34 papers, 2.1k citations indexed

About

Victoria Wang is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Victoria Wang has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 11 papers in Pathology and Forensic Medicine and 8 papers in Molecular Biology. Recurrent topics in Victoria Wang's work include Viral-associated cancers and disorders (13 papers), Lymphoma Diagnosis and Treatment (8 papers) and Histiocytic Disorders and Treatments (6 papers). Victoria Wang is often cited by papers focused on Viral-associated cancers and disorders (13 papers), Lymphoma Diagnosis and Treatment (8 papers) and Histiocytic Disorders and Treatments (6 papers). Victoria Wang collaborates with scholars based in United States, Sweden and Canada. Victoria Wang's co-authors include Robert Yarchoan, David A. Davis, Muzammel Haque, Francis S. Collins, Steven M. Lipkin, Eric Huang, Seth M. Steinberg, Stefania Pittaluga, Thomas S. Uldrick and Richard F. Little and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Blood.

In The Last Decade

Victoria Wang

33 papers receiving 2.1k citations

Peers

Victoria Wang
Comparison fields: 5 of 95
  • Oncology 1.0k
  • Molecular Biology 722
  • Pathology and Forensic Medicine 676
  • Cancer Research 449
  • Epidemiology 446
Replace Julia Mohr with:
Julia Mohr Germany
Josep Nomdedéu Spain
Angela Costantino Italy
Curtis Gumbs United States
Jan Piet van Hamburg Netherlands
Philipp B. Staber Austria
Marcos R. Estecio United States
Anthony Ellis United Kingdom
Jean‐Christophe Stehle Switzerland
F. Caux France
Julia Mohr Germany View profile →
Citations per field, relative to Victoria Wang
Victoria Wang · 1×
Citations per year, relative to Victoria Wang
Victoria Wang · 1×

Countries citing papers authored by Victoria Wang

Since Specialization
Citations

This map shows the geographic impact of Victoria 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 Victoria Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Wang more than expected).

Fields of papers citing papers by Victoria Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victoria 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 Victoria Wang. The network helps show where Victoria Wang may publish in the future.

Co-authorship network of co-authors of Victoria Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Wang. A scholar is included among the top collaborators of Victoria Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victoria Wang. Victoria Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 21
3 0
4 5
5 1
6 36
7 33
8 32
9 1
10 141
11 80
12 14
13 24
14 215
15 65
16 28
17 102
18 290
19 53
20 248

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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