Ellen Fitzgerald
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
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- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Steven A. Rosenberg (4 shared papers)S A Rosenberg (1 shared paper)Maria R. Parkhurst (1 shared paper)Scott Southwood (1 shared paper)Alessandro Sette (1 shared paper)Yutaka Kawakami (1 shared paper)Julie A. Brown (1 shared paper)William Whalen (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Journal of Biological Chemistry (1 paper)Journal of Immunotherapy (1 paper)Journal of Global Oncology (1 paper)PubMed (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Ellen Fitzgerald
7 papers receiving 509 citations
Peers
Comparison fields: 5 of 40
- Immunology 342
- Oncology 153
- Molecular Biology 315
- Cell Biology 49
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Ellen Fitzgerald
This map shows the geographic impact of Ellen Fitzgerald'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 Ellen Fitzgerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Fitzgerald more than expected).
Fields of papers citing papers by Ellen Fitzgerald
This network shows the impact of papers produced by Ellen Fitzgerald. 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 Ellen Fitzgerald. The network helps show where Ellen Fitzgerald may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Fitzgerald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identification of a shared HLA-A*0201-restricted T-cell epitope from the melanoma antigen tyrosinase-related protein 2 (TRP2). | 1998 | 177 |
| 2 | 1995 | 138 | |
| 3 | 1997 | 111 | |
| 4 | 2001 | 59 | |
| 5 | 1995 | 19 | |
| 6 | Induction of melanoma reactive T cells by stimulator cells expressing melanoma epitope-major histocompatibility complex class I fusion proteins. | 1997 | 12 |
| 7 | 2017 | 10 |
About Ellen Fitzgerald
Ellen Fitzgerald is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Hematology and Pathology and Forensic Medicine, having authored 7 papers that have together received 526 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Mechanisms and Therapy (1 paper), Fungal and yeast genetics research (1 paper), RNA Research and Splicing (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (342 citations), Oncology (153 citations), Molecular Biology (315 citations), Cell Biology (49 citations) and Radiology, Nuclear Medicine and Imaging (50 citations). Ellen Fitzgerald has collaborated with scholars based in United States and Japan. Frequent co-authors include Steven A. Rosenberg, S A Rosenberg, Maria R. Parkhurst, Scott Southwood, Alessandro Sette, Yutaka Kawakami, Julie A. Brown, William Whalen, Ravi Dhar and Anil Kumar Ghosh. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Immunotherapy, Journal of Global Oncology and PubMed.
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.