Dan Knowles
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 29
- Oncology top 0.5%
- Viral-associated cancers and disorders 22
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 14
- Immunology top 1%
- Immunodeficiency and Autoimmune Disorders 6
- T-cell and B-cell Immunology 5
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments 5
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- Monoclonal and Polyclonal Antibodies Research 7
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- Parvovirus B19 Infection Studies 5
- Co-authors
- Riccardo Dalla‐FaveraEthel CesarmanPier Giuseppe PelicciGiorgio InghiramiAntonino NeriGianluca GaïdanoYuan ChangPatrick S. Moore
- Journals
- The Journal of Immunology (7 papers)The Journal of Experimental Medicine (6 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Dan Knowles
64 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Pathology and Forensic Medicine 2.1k
- Oncology 3.1k
- Genetics 1.1k
- Immunology 1.7k
- Hematology 478
Countries citing papers authored by Dan Knowles
This map shows the geographic impact of Dan Knowles'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 Dan Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Knowles more than expected).
Fields of papers citing papers by Dan Knowles
This network shows the impact of papers produced by Dan Knowles. 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 Dan Knowles. The network helps show where Dan Knowles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Knowles, 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 | 2015 | 55 | |
| 2 | 2014 | 12 | |
| 3 | 2014 | 17 | |
| 4 | 2010 | 12 | |
| 5 | 2009 | 16 | |
| 6 | 2001 | 29 | |
| 7 | Kaposi's sarcoma-associated herpesvirus: a lymphotropic human herpesvirus associated with Kaposi's sarcoma, primary effusion lymphoma, and multicentric Castleman's disease. | 1997 | 110 |
| 8 | 1996 | 194 | |
| 9 | 1994 | 62 | |
| 10 | 1994 | 47 | |
| 11 | 1992 | 161 | |
| 12 | The kinetics and temporal expression of T-cell activation-associated antigens CD15 (LeuM1), CD30 (Ki-1), EMA, and CD11c (LeuM5) by benign activated T cells. | 1992 | 31 |
| 13 | 1991 | 26 | |
| 14 | 1991 | 95 | |
| 15 | 1990 | 18 | |
| 16 | 1990 | 1 | |
| 17 | 1987 | 81 | |
| 18 | 1987 | 281 | |
| 19 | 1985 | 91 | |
| 20 | 1985 | 219 |
About Dan Knowles
Dan Knowles is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 64 papers that have together received 6.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Viral-associated cancers and disorders (22 papers), Chronic Lymphocytic Leukemia Research (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Parvovirus B19 Infection Studies (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.1k citations), Oncology (3.1k citations) and Genetics (1.1k citations). Dan Knowles has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Riccardo Dalla‐Favera, Ethel Cesarman, Pier Giuseppe Pelicci, Giorgio Inghirami, Antonino Neri, Gianluca Gaïdano, Yuan Chang, Patrick S. Moore, Paola Ballerini and Jerry Z. Gong. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Histopathology and Leukemia.
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.