DM Knowles
Impact in
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment
- Oncology top 0.5%
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
Papers in
-
- Lymphoma Diagnosis and Treatment 33
- Genetics 15
- Chronic Lymphocytic Leukemia Research 15
DM Knowles
47 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Pathology and Forensic Medicine 3.0k
- Oncology 4.3k
- Genetics 895
- Infectious Diseases 1.0k
- Epidemiology 1.5k
Countries citing papers authored by DM Knowles
This map shows the geographic impact of DM 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 DM Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DM Knowles more than expected).
Fields of papers citing papers by DM Knowles
This network shows the impact of papers produced by DM 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 DM Knowles. The network helps show where DM Knowles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside DM 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 | 1996 | 109 | |
| 2 | Primary effusion lymphoma: a distinct clinicopathologic entity associated with the Kaposi's sarcoma-associated herpes virus Hit paper breakdown → | 1996 | 903 |
| 3 | 1996 | 343 | |
| 4 | 1995 | 27 | |
| 5 | 1995 | 96 | |
| 6 | 1995 | 20 | |
| 7 | 1994 | 12 | |
| 8 | 1994 | 211 | |
| 9 | 1994 | 42 | |
| 10 | 1994 | 71 | |
| 11 | 1994 | 4 | |
| 12 | 1993 | 189 | |
| 13 | 1993 | 11 | |
| 14 | Molecular interactions mediating T-B lymphocyte collaboration in human lymphoid follicles. Roles of T cell-B-cell-activating molecule (5c8 antigen) and CD40 in contact-dependent help.Lederman S, Yellin MJ, Inghirami G, Lee JJ, Knowles DM, Chess L. | 1992 | 24 |
| 15 | 1992 | 129 | |
| 16 | 1992 | 104 | |
| 17 | The B-cells that express anti-MAG antibodies in neuropathy and non-malignant IgM monoclonal gammopathy belong to the CD5 subpopulation. | 1991 | 4 |
| 18 | 1991 | 2 | |
| 19 | 1989 | 229 | |
| 20 | 1989 | 71 |
About DM Knowles
DM Knowles is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Oncology and Infectious Diseases, having authored 47 papers that have together received 5.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Viral-associated cancers and disorders (23 papers), Chronic Lymphocytic Leukemia Research (15 papers), T-cell and Retrovirus Studies (9 papers), Immune Cell Function and Interaction (7 papers), Eosinophilic Disorders and Syndromes (4 papers), Parvovirus B19 Infection Studies (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (3.0k citations), Oncology (4.3k citations), Genetics (895 citations), Infectious Diseases (1.0k citations) and Epidemiology (1.5k citations). DM Knowles has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Giorgio Inghirami, Ethel Cesarman, Riccardo Dalla‐Favera, Amy Chadburn, D. Brian Dawson, Gianluca Gaïdano, Patrick S. Moore, Yuan Chang, Milayna Subar and Said Jw. Their work appears in journals such as Blood, The Journal of Immunology and American Journal of Roentgenology.
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.