David E. Newcomb
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Inflammation biomarkers and pathways
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- Thermal Regulation in Medicine
Papers in
- Immunology 10
- Immune Response and Inflammation 9
- Immune cells in cancer 3
- Oncology 5
- Chemokine receptors and signaling 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Daniel G. Remick (14 shared papers)G. Bolgos (8 shared papers)Douglas R. Call (10 shared papers)Samuel Ebong (7 shared papers)Jean A. Nemzek (6 shared papers)Gordon K. Wollenberg (2 shared papers)Sunir J. Garg (2 shared papers)Jill Granger (1 shared paper)
- Journals
- Shock (5 papers)Critical Care Medicine (2 papers)American Journal Of Pathology (2 papers)Immunological Investigations (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David E. Newcomb
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Immunology 616
- Critical Care and Intensive Care Medicine 123
- Epidemiology 333
- Behavioral Neuroscience 25
- Neurology 56
Countries citing papers authored by David E. Newcomb
This map shows the geographic impact of David E. Newcomb'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 David E. Newcomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Newcomb more than expected).
Fields of papers citing papers by David E. Newcomb
This network shows the impact of papers produced by David E. Newcomb. 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 David E. Newcomb. The network helps show where David E. Newcomb may publish in the future.
Co-authors
The 11 scholars most cited alongside David E. Newcomb, 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 | 2000 | 439 | |
| 2 | 1999 | 187 | |
| 3 | 2001 | 90 | |
| 4 | 1998 | 87 | |
| 5 | 1999 | 86 | |
| 6 | 2001 | 77 | |
| 7 | 1998 | 75 | |
| 8 | 1999 | 67 | |
| 9 | 2001 | 62 | |
| 10 | 2001 | 57 | |
| 11 | 2000 | 43 | |
| 12 | 2002 | 10 | |
| 13 | 2003 | 7 | |
| 14 | 1999 | 5 |
About David E. Newcomb
David E. Newcomb is a scholar working on Immunology, Oncology, Epidemiology, Pharmacology and Critical Care and Intensive Care Medicine, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Chemokine receptors and signaling (4 papers), Immune cells in cancer (3 papers), Sepsis Diagnosis and Treatment (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Thermal Regulation in Medicine (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Immunology (616 citations), Critical Care and Intensive Care Medicine (123 citations), Epidemiology (333 citations), Behavioral Neuroscience (25 citations) and Neurology (56 citations). David E. Newcomb has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel G. Remick, G. Bolgos, Douglas R. Call, Samuel Ebong, Jean A. Nemzek, Gordon K. Wollenberg, Sunir J. Garg, Jill Granger, Michael O’Reilly and Xian Wang. Their work appears in journals such as Shock, Critical Care Medicine, American Journal Of Pathology, Immunological Investigations and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.