Dan Combs
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Glioma Diagnosis and Treatment
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 3
- Glioma Diagnosis and Treatment 2
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Mark S. Dennis (1 shared paper)Daniel Kirchhofer (1 shared paper)Min Zhang (1 shared paper)Lisa A. Damico (1 shared paper)Yong Meng (1 shared paper)P. Tanswell (1 shared paper)Nishit B. Modi (1 shared paper)Thierry Danays (1 shared paper)
- Journals
- Toxicological Sciences (1 paper)Journal of Clinical Oncology (1 paper)Blood (1 paper)The Journal of Clinical Pharmacology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Dan Combs
10 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Genetics 266
- Pathology and Forensic Medicine 321
- Neurology 257
- Radiology, Nuclear Medicine and Imaging 383
- Internal Medicine 41
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 | 386 | |
| 2 | 2002 | 327 | |
| 3 | 2002 | 190 | |
| 4 | 2005 | 172 | |
| 5 | 2005 | 60 | |
| 6 | 2017 | 43 | |
| 7 | 2003 | 32 | |
| 8 | 2021 | 9 | |
| 9 | 2004 | 5 | |
| 10 | An embryo-fetal development study in cynomolgus monkeys with rituximab, an anti-CD20 antibody | 2003 | 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 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glioma Diagnosis and Treatment (2 papers), Coronary Interventions and Diagnostics (1 paper), Pain Mechanisms and Treatments (1 paper), Protein purification and stability (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Genetics (266 citations), Pathology and Forensic Medicine (321 citations), Neurology (257 citations), Radiology, Nuclear Medicine and Imaging (383 citations) and Internal Medicine (41 citations). Dan Combs has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mark S. Dennis, Daniel Kirchhofer, Min Zhang, Lisa A. Damico, Yong Meng, P. Tanswell, Nishit B. Modi, Thierry Danays, Chee M. Ng and René Bruno. Their work appears in journals such as Toxicological Sciences, Journal of Clinical Oncology, Blood, The Journal of Clinical Pharmacology and Journal of Biological Chemistry.
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.