Nancy Wang

8.3k citations
145 papers · 4.7k · h-index 38

Impact in

  • Genetics top 2%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Glioma Diagnosis and Treatment
    • Mesenchymal stem cell research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Nancy Wang

138 papers receiving 4.6k citations

Peers

Nancy Wang
Comparison fields: 5 of 160
  • Genetics 361
  • Immunology 681
  • Cancer Research 393
  • Molecular Medicine 127
  • Genetics 711
Replace Kate J. Heesom with:
Kate J. Heesom United Kingdom
Wojciech Gorczyca United States
Jin Zhang China
Bo Porse Denmark
Iain D. C. Fraser United States
Gerrit Koopman Netherlands
Philippe Huber France
Hong Cao China
Christine A. Wells Australia
Marta M. Lipinski United States
Nancy Wang relative to Kate J. Heesom United Kingdom Kate J. Heesom's profile →
Citations per field
00.5×1.5×1.8×
Kate J. Heesom · 1×
Citations per year

Countries citing papers authored by Nancy Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nancy 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 Nancy Wang Line = papers co-authored together Nancy Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005270
2 1987247
3 2016198
4 2009167
5 1997155
6
Nonrandom abnormalities in chromosome 1 in human testicular cancers.
1980141
7 2005110
8 1984108
9 2017100
10 201996
11 201186
12 201184
13 200184
14 200482
15 198682
16 200179
17 199979
18 201078
19 200677
20 199973

About Nancy Wang

Nancy Wang is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Oncology, having authored 145 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Immune Response and Inflammation (6 papers), Chromosomal and Genetic Variations (6 papers), DNA Repair Mechanisms (6 papers), T-cell and B-cell Immunology (6 papers), Salmonella and Campylobacter epidemiology (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Genetics (361 citations), Immunology (681 citations), Cancer Research (393 citations), Molecular Medicine (127 citations) and Genetics (711 citations). Nancy Wang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include William F. Loomis, Gad Shaulsky, Richard A. Strugnell, David L. Bronson, Elwin E. Fraley, Tracy T. Batchelor, R.T. Taggart, Pauline H. Yen, T. Mohandas and Larry J. Shapiro. Their work appears in journals such as Stroke, Journal of Biological Chemistry, Genes Chromosomes and Cancer, Journal of Bacteriology and Human Genetics.

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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