Ann Murphy
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 4
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Mary L. Disis (2 shared papers)Emanuel Calenoff (1 shared paper)Bernd Groner (1 shared paper)Elaine McGlynn (1 shared paper)Margit Jeschke (1 shared paper)Robert B. Livingston (1 shared paper)Wei Chen (1 shared paper)Joseph Wayne Smith (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Cancer Research (1 paper)Journal of Thoracic Oncology (1 paper)Immuno-Oncology Technology (1 paper)PubMed (2 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Ann Murphy
6 papers receiving 560 citations
Peers
Comparison fields: 5 of 44
- Immunology 419
- Radiology, Nuclear Medicine and Imaging 232
- Oncology 240
- Molecular Biology 226
- Biotechnology 15
Countries citing papers authored by Ann Murphy
This map shows the geographic impact of Ann Murphy'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 Ann Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Murphy more than expected).
Fields of papers citing papers by Ann Murphy
This network shows the impact of papers produced by Ann Murphy. 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 Ann Murphy. The network helps show where Ann Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Murphy, 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 | Existent T-cell and antibody immunity to HER-2/neu protein in patients with breast cancer. | 1994 | 405 |
| 2 | In vitro generation of human cytolytic T-cells specific for peptides derived from the HER-2/neu protooncogene protein. | 1994 | 131 |
| 3 | 2022 | 35 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2021 | 1 |
About Ann Murphy
Ann Murphy is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Genetics, having authored 6 papers that have together received 576 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (419 citations), Radiology, Nuclear Medicine and Imaging (232 citations), Oncology (240 citations), Molecular Biology (226 citations) and Biotechnology (15 citations). Ann Murphy has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Mary L. Disis, Emanuel Calenoff, Bernd Groner, Elaine McGlynn, Margit Jeschke, Robert B. Livingston, Wei Chen, Joseph Wayne Smith, Wei Chen and Martin A. Cheever. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Thoracic Oncology, Immuno-Oncology Technology 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.