Dan Combs
Impact in
Papers in
- Genetics 4
- Chronic Lymphocytic Leukemia Research 2
- Glioma Diagnosis and Treatment 2
- Estrogen and related hormone effects 1
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Min Zhang (1 shared paper)Lisa A. Damico (1 shared paper)Mark S. Dennis (1 shared paper)Daniel Kirchhofer (1 shared paper)Yong Meng (1 shared paper)Nishit B. Modi (1 shared paper)P. Tanswell (1 shared paper)Thierry Danays (1 shared paper)
- Journals
- Journal of Immunotherapy (1 paper)Blood (1 paper)SLEEP (1 paper)Journal of Clinical Oncology (1 paper)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Dan Combs
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Genetics 222
- Neurology 247
- Radiology, Nuclear Medicine and Imaging 368
- Pathology and Forensic Medicine 277
- Internal Medicine 29
Countries citing papers authored by Dan Combs
This map shows the geographic impact of Dan Combs'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 Combs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Combs more than expected).
Fields of papers citing papers by Dan Combs
This network shows the impact of papers produced by Dan Combs. 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 Combs. The network helps show where Dan Combs may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Combs, 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 | 2002 | 411 | |
| 2 | 2002 | 349 | |
| 3 | 2002 | 206 | |
| 4 | 2005 | 177 | |
| 5 | 2005 | 63 | |
| 6 | 2017 | 46 | |
| 7 | 2003 | 33 | |
| 8 | 2021 | 10 | |
| 9 | 2004 | 5 | |
| 10 | An embryo-fetal development study in cynomolgus monkeys with rituximab, an anti-CD20 antibody | 2003 | 1 |
| 11 | 2019 | 1 |
About Dan Combs
Dan Combs is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glioma Diagnosis and Treatment (2 papers), Estrogen and related hormone effects (1 paper), Protein purification and stability (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Genetics (222 citations), Neurology (247 citations), Radiology, Nuclear Medicine and Imaging (368 citations), Pathology and Forensic Medicine (277 citations) and Internal Medicine (29 citations). Dan Combs has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Min Zhang, Lisa A. Damico, Mark S. Dennis, Daniel Kirchhofer, Yong Meng, Nishit B. Modi, P. Tanswell, Thierry Danays, Chee M. Ng and Brian E. Davies. Their work appears in journals such as Journal of Immunotherapy, Blood, SLEEP, Journal of Clinical Oncology and The Journal of Clinical Pharmacology.
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.