David Williamson
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Lymphoblastic Leukemia research 8
- Co-authors
- John C. Sawhill (2 shared papers)Harlan Robins (14 shared papers)Ryan Emerson (8 shared papers)Mark J. Rieder (6 shared papers)Anna Sherwood (8 shared papers)Christopher S. Carlson (7 shared papers)Ilan R. Kirsch (8 shared papers)Brent L. Wood (7 shared papers)
- Journals
- Blood (8 papers)Journal of Lipid Research (2 papers)Science Translational Medicine (2 papers)Journal of Clinical Pathology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David Williamson
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 144
- Immunology 557
- Hematology 291
- Virology 111
- Oncology 479
- Dermatology 132
Countries citing papers authored by David Williamson
This map shows the geographic impact of David Williamson'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 David Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Williamson more than expected).
Fields of papers citing papers by David Williamson
This network shows the impact of papers produced by David Williamson. 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 David Williamson. The network helps show where David Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside David Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 366 | |
| 2 | 2001 | 232 | |
| 3 | 2015 | 171 | |
| 4 | 2015 | 156 | |
| 5 | 2015 | 155 | |
| 6 | 2017 | 138 | |
| 7 | 2013 | 119 | |
| 8 | 2006 | 114 | |
| 9 | 2014 | 109 | |
| 10 | 2011 | 83 | |
| 11 | 2017 | 38 | |
| 12 | 2005 | 36 | |
| 13 | 2009 | 33 | |
| 14 | Measuring What Matters in Nonprofits | 2001 | 29 |
| 15 | 2007 | 25 | |
| 16 | 2008 | 19 | |
| 17 | 2011 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2008 | 15 | |
| 20 | 1982 | 11 |
About David Williamson
David Williamson is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Oncology, Immunology and Hematology, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), CAR-T cell therapy research (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), T-cell and B-cell Immunology (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Library Science and Information Systems (3 papers), Immune Cell Function and Interaction (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (557 citations), Hematology (291 citations), Virology (111 citations), Oncology (479 citations) and Dermatology (132 citations). David Williamson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John C. Sawhill, Harlan Robins, Ryan Emerson, Mark J. Rieder, Anna Sherwood, Christopher S. Carlson, Ilan R. Kirsch, Brent L. Wood, David Wu and Cindy Desmarais. Their work appears in journals such as Blood, Journal of Lipid Research, Science Translational Medicine, Journal of Clinical Pathology and The Journal of Infectious Diseases.
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.