William Swaney
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA Interference and Gene Delivery 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- CRISPR and Genetic Engineering 3
- Oncology 8
- CAR-T cell therapy research 4
- Co-authors
- Susanne M. Gollin (4 shared papers)Markus Maeurer (2 shared papers)Chiara Castelli (2 shared papers)Walter J. Storkus (2 shared papers)M T Lotze (2 shared papers)D Martin (2 shared papers)John Bryant (1 shared paper)Paul D. Robbins (1 shared paper)
- Journals
- Gene Therapy (2 papers)Journal of Lipid Research (1 paper)Neurochemical Research (1 paper)Molecular Diagnosis (1 paper)European Journal Of Haematology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
William Swaney
18 papers receiving 521 citations
Peers
Comparison fields: 5 of 60
- Immunology 278
- Oncology 212
- Genetics 119
- Genetics 42
- Molecular Biology 227
Countries citing papers authored by William Swaney
This map shows the geographic impact of William Swaney'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 William Swaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Swaney more than expected).
Fields of papers citing papers by William Swaney
This network shows the impact of papers produced by William Swaney. 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 William Swaney. The network helps show where William Swaney may publish in the future.
Co-authors
The 25 scholars most cited alongside William Swaney, 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 | 1996 | 228 | |
| 2 | Tumor escape from immune recognition: loss of HLA-A2 melanoma cell surface expression is associated with a complex rearrangement of the short arm of chromosome 6. | 1996 | 74 |
| 3 | 2008 | 43 | |
| 4 | 1993 | 33 | |
| 5 | 2011 | 30 | |
| 6 | 2009 | 25 | |
| 7 | 1997 | 25 | |
| 8 | 1999 | 24 | |
| 9 | 2019 | 15 | |
| 10 | 1998 | 10 | |
| 11 | 2012 | 8 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2000 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2003 | 1 |
About William Swaney
William Swaney is a scholar working on Molecular Biology, Oncology, Genetics, Genetics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 534 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), CRISPR and Genetic Engineering (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology (278 citations), Oncology (212 citations), Genetics (119 citations), Genetics (42 citations) and Molecular Biology (227 citations). William Swaney has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Susanne M. Gollin, Markus Maeurer, Chiara Castelli, Walter J. Storkus, M T Lotze, D Martin, John Bryant, Paul D. Robbins, Giorgio Parmiani and Johannes C.M. van der Loo. Their work appears in journals such as Gene Therapy, Journal of Lipid Research, Neurochemical Research, Molecular Diagnosis and European Journal Of Haematology.
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.