Daniel M. Knowles
- Oncology top 0.05%
- Viral-associated cancers and disorders 50
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment 80
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 38
- Infectious Diseases top 0.5%
- Immunology top 0.5%
- Immune Cell Function and Interaction 21
- T-cell and B-cell Immunology 17
- Immunotherapy and Immune Responses 13
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- Monoclonal and Polyclonal Antibodies Research 25
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- Histiocytic Disorders and Treatments 13
- Co-authors
- Ethel CesarmanYuan ChangPatrick S. MooreJanice CulpepperMelissa S. PessinFrank LeeJonathan SaidAmy Chadburn
- Partner nations
- United StatesItalyCanada
In The Last Decade
Daniel M. Knowles
169 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Oncology 10.0k
- Pathology and Forensic Medicine 5.6k
- Genetics 1.7k
- Infectious Diseases 2.8k
- Immunology 3.1k
Countries citing papers authored by Daniel M. Knowles
This map shows the geographic impact of Daniel M. 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 Daniel M. Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Knowles more than expected).
Fields of papers citing papers by Daniel M. Knowles
This network shows the impact of papers produced by Daniel M. 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 Daniel M. Knowles. The network helps show where Daniel M. Knowles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel M. 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 | 13 | |
| 2 | 2012 | 55 | |
| 3 | 2009 | 234 | |
| 4 | 2009 | 8 | |
| 5 | 2009 | 13 | |
| 6 | 2008 | 6 | |
| 7 | 2008 | 133 | |
| 8 | 2007 | 1 | |
| 9 | 2007 | 1 | |
| 10 | 2006 | 157 | |
| 11 | 2004 | 230 | |
| 12 | 2002 | 126 | |
| 13 | 2001 | 45 | |
| 14 | 2001 | 54 | |
| 15 | 1998 | 130 | |
| 16 | 1995 | 6 | |
| 17 | 1993 | 101 | |
| 18 | 1991 | 21 | |
| 19 | 1991 | 48 | |
| 20 | 1987 | 43 |
About Daniel M. Knowles
Daniel M. Knowles is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 171 papers that have together received 16.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (80 papers), Viral-associated cancers and disorders (50 papers), Chronic Lymphocytic Leukemia Research (38 papers), Monoclonal and Polyclonal Antibodies Research (25 papers), Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (17 papers), Histiocytic Disorders and Treatments (13 papers) and Immunotherapy and Immune Responses (13 papers). The work is most often cited by research in Oncology (10.0k citations), Pathology and Forensic Medicine (5.6k citations) and Genetics (1.7k citations). Daniel M. Knowles has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ethel Cesarman, Yuan Chang, Patrick S. Moore, Janice Culpepper, Melissa S. Pessin, Frank Lee, Jonathan Said, Amy Chadburn, Frederick A. Jakobiec and Andrea Cerutti. Their work appears in journals such as Blood, Cancer, Human Pathology, Ophthalmology and American Journal of Clinical Pathology.
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.