Nancy J. Nesslinger

1.2k total citations
12 papers, 943 citations indexed

About

Nancy J. Nesslinger is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nancy J. Nesslinger has authored 12 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Nancy J. Nesslinger's work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Nancy J. Nesslinger is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Nancy J. Nesslinger collaborates with scholars based in Canada and United States. Nancy J. Nesslinger's co-authors include Brad H. Nelson, Julie S. Nielsen, Katy Milne, Peter H. Watson, Sara E. Kost, Rob A. Sahota, Ralph W. deVere White, Ian M. MacDonald, Alvin V. Ng and Charles Ludgate and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Nancy J. Nesslinger

12 papers receiving 925 citations

Peers

Nancy J. Nesslinger
Judy S. Wang United States
Calvin Ho United States
Petra Sergent United States
Ali Chahlavi United States
Sonja E. Gustin Australia
Annie Ng United Kingdom
Judy S. Wang United States
Nancy J. Nesslinger
Citations per year, relative to Nancy J. Nesslinger Nancy J. Nesslinger (= 1×) peers Judy S. Wang

Countries citing papers authored by Nancy J. Nesslinger

Since Specialization
Citations

This map shows the geographic impact of Nancy J. Nesslinger'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. Nesslinger 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. Nesslinger more than expected).

Fields of papers citing papers by Nancy J. Nesslinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

12 of 12 papers shown
1.
Johnson, Lisa D., Nancy J. Nesslinger, Paul Blood, et al.. (2014). Tumor-associated autoantibodies correlate with poor outcome in prostate cancer patients treated with androgen deprivation and external beam radiation therapy. OncoImmunology. 3(6). e29243–e29243. 4 indexed citations
2.
Nielsen, Julie S., Rob A. Sahota, Katy Milne, et al.. (2012). CD20+ Tumor-Infiltrating Lymphocytes Have an Atypical CD27− Memory Phenotype and Together with CD8+ T Cells Promote Favorable Prognosis in Ovarian Cancer. Clinical Cancer Research. 18(12). 3281–3292. 418 indexed citations
3.
Nesslinger, Nancy J., Alvin V. Ng, Kwong-Yok Tsang, et al.. (2010). A Viral Vaccine Encoding Prostate-Specific Antigen Induces Antigen Spreading to a Common Set of Self-Proteins in Prostate Cancer Patients. Clinical Cancer Research. 16(15). 4046–4056. 45 indexed citations
4.
Tran, Eric, Julie S. Nielsen, Darin A. Wick, et al.. (2010). Polyfunctional T-Cell Responses Are Disrupted by the Ovarian Cancer Ascites Environment and Only Partially Restored by Clinically Relevant Cytokines. PLoS ONE. 5(12). e15625–e15625. 27 indexed citations
5.
Nesslinger, Nancy J., Mary Bowden, Paul S. Rennie, et al.. (2009). Castration induces autoantibody and T cell responses that correlate with inferior outcomes in an androgen‐dependent murine tumor model. International Journal of Cancer. 125(12). 2871–2878. 6 indexed citations
6.
Milne, Katy, Rebecca Barnes, Adam Girardin, et al.. (2008). Tumor-Infiltrating T Cells Correlate with NY-ESO-1-Specific Autoantibodies in Ovarian Cancer. PLoS ONE. 3(10). e3409–e3409. 34 indexed citations
7.
Nesslinger, Nancy J., Brad Stone, Paul S. Rennie, et al.. (2007). Standard Treatments Induce Antigen-Specific Immune Responses in Prostate Cancer. Clinical Cancer Research. 13(5). 1493–1502. 129 indexed citations
8.
Nesslinger, Nancy J., et al.. (2003). Androgen-independent growth of LNCaP prostate cancer cells is mediated by gain-of-function mutant p53.. PubMed. 63(9). 2228–33. 56 indexed citations
9.
Nesslinger, Nancy J., et al.. (2002). Mutational analysis of patients with the diagnosis of choroideremia. Human Mutation. 20(3). 189–196. 59 indexed citations
10.
Shi, Xu‐Bao, Nancy J. Nesslinger, Arline D. Deitch, Paul H. Gumerlock, & Ralph W. deVere White. (2002). Complex functions of mutant p53 alleles from human prostate cancer. The Prostate. 51(1). 59–72. 44 indexed citations
11.
Nesslinger, Nancy J., G. H. Mitchell, Paula M. Strasberg, & Ian M. MacDonald. (1996). Mutation analysis in Canadian families with choroideremia. Ophthalmic Genetics. 17(2). 47–52. 22 indexed citations
12.
Nesslinger, Nancy J.. (1993). Clinical, cytogenetic and molecular characterization of seven patients with deletions of chromosome 22q13.3. PubMed. 54(3). 464–72. 99 indexed citations

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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