Nancy J. Crowley

675 total citations
15 papers, 556 citations indexed

About

Nancy J. Crowley is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Nancy J. Crowley has authored 15 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Nancy J. Crowley's work include Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (6 papers) and Cutaneous Melanoma Detection and Management (6 papers). Nancy J. Crowley is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (6 papers) and Cutaneous Melanoma Detection and Management (6 papers). Nancy J. Crowley collaborates with scholars based in United States. Nancy J. Crowley's co-authors include Hilliard F. Seigler, Timothy L. Darrow, Mary Ann Quinn-Allen, Seigler Hf, Hilliard F. Seigler, Craig L. Slingluff, Carol E. Vervaert, Gerald B. Grunwald, Jack Lilien and Katrina R. Stidham and has published in prestigious journals such as The Journal of Immunology, Cancer and Annals of Surgery.

In The Last Decade

Nancy J. Crowley

15 papers receiving 537 citations

Peers

Nancy J. Crowley
Comparison fields: 5 of 55
  • Oncology 374
  • Immunology 260
  • Molecular Biology 190
  • Epidemiology 75
  • Dermatology 49
Replace K Cechova with:
K Cechova United States
P. Panagiotou Greece
Donald L. Morton United States
A Nizze United States
A. Y. Bedikian United States
R. Rossi United States
Lee M. Zehngebot United States
C. Bradley United Kingdom
Christine Hanlon United States
Kristen M. Oelschlager United States
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Citations per field, relative to Nancy J. Crowley
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Citations per year, relative to Nancy J. Crowley
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Countries citing papers authored by Nancy J. Crowley

Since Specialization
Citations

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

Fields of papers citing papers by Nancy J. Crowley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy J. Crowley

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy J. Crowley. A scholar is included among the top collaborators of Nancy J. Crowley 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 Nancy J. Crowley. Nancy J. Crowley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 9
2 5
3 56
4 21
5
Human xenograft-nude mouse model of adoptive immunotherapy with human melanoma-specific cytotoxic T-cells.
26
6 6
7 98
8 28
9 42
10 6
11 144
12 3
13
Generation of human autologous melanoma-specific cytotoxic T-cells using HLA-A2-matched allogeneic melanomas.
72
14
Generation of autologous tumor-specific cytotoxic T-cells using HLA-A region matched allogeneic melanoma.
7
15 33

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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