Daniel D. Williams
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 2
- Invertebrate Immune Response Mechanisms 1
- Oncology 5
- CAR-T cell therapy research 5
- Co-authors
- Christopher G. Proud (4 shared papers)Graham D. Pavitt (1 shared paper)Jane Loughlin (1 shared paper)Nigel T. Price (1 shared paper)Oriano Marin (1 shared paper)Lorenzo Alberto Pinna (1 shared paper)Jennifer Rose (1 shared paper)Brendan J. Classon (1 shared paper)
- Journals
- Nature Medicine (2 papers)Journal of Biological Chemistry (2 papers)Science Translational Medicine (1 paper)eLife (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Daniel D. Williams
10 papers receiving 1.7k citations
Daniel D. Williams's Hit Papers
Peers
Comparison fields: 5 of 72
- Oncology 1.3k
- Immunology 956
- Genetics 312
- Radiology, Nuclear Medicine and Imaging 197
- Hematology 87
Countries citing papers authored by Daniel D. Williams
This map shows the geographic impact of Daniel D. Williams'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 Daniel D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Williams more than expected).
Fields of papers citing papers by Daniel D. Williams
This network shows the impact of papers produced by Daniel D. Williams. 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 Daniel D. Williams. The network helps show where Daniel D. Williams may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniel D. Williams, 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 | NY-ESO-1–specific TCR–engineered T cells mediate sustained antigen-specific antitumor effects in myeloma Hit paper breakdown → | 2015 | 725 |
| 2 | Identification of a Titin-Derived HLA-A1–Presented Peptide as a Cross-Reactive Target for Engineered MAGE A3–Directed T Cells Hit paper breakdown → | 2013 | 579 |
| 3 | 2012 | 275 | |
| 4 | 2001 | 43 | |
| 5 | 2001 | 41 | |
| 6 | 2004 | 33 | |
| 7 | 2001 | 18 | |
| 8 | 1999 | 18 | |
| 9 | Monoclonal TCR-redirected tumor cell killing. Nat Med | 2012 | 14 |
| 10 | 2023 | 1 |
About Daniel D. Williams
Daniel D. Williams is a scholar working on Immunology, Oncology, Molecular Biology, Pharmacology and Cell Biology, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), RNA regulation and disease (2 papers), T-cell and B-cell Immunology (2 papers), CRISPR and Genetic Engineering (1 paper), Invertebrate Immune Response Mechanisms (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Oncology (1.3k citations), Immunology (956 citations), Genetics (312 citations), Radiology, Nuclear Medicine and Imaging (197 citations) and Hematology (87 citations). Daniel D. Williams has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Christopher G. Proud, Graham D. Pavitt, Jane Loughlin, Nigel T. Price, Oriano Marin, Lorenzo Alberto Pinna, Jennifer Rose, Brendan J. Classon, Philip Huxley and Deborah C. I. Goberdhan. Their work appears in journals such as Nature Medicine, Journal of Biological Chemistry, Science Translational Medicine, eLife and FEBS Letters.
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.