John Bartels
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Immune cells in cancer
- Modeling and Simulation top 5%
Papers in
- Immunology 10
- Immune Response and Inflammation 9
- Immune cells in cancer 3
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- Gene Regulatory Network Analysis 3
- Receptor Mechanisms and Signaling 3
- Heat shock proteins research 2
- Co-authors
- Yoram Vodovotz (17 shared papers)Gilles Clermont (10 shared papers)Gary An (5 shared papers)Carson C. Chow (7 shared papers)Gregory Constantine (7 shared papers)Rukmini Kumar (5 shared papers)Marie Csete (1 shared paper)Timothy R. Billiar (5 shared papers)
- Journals
- Shock (5 papers)Computational Optimization and Applications (1 paper)PLoS Computational Biology (1 paper)Molecular Medicine (1 paper)Journal of Critical Care (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John Bartels
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Immunology 323
- Modeling and Simulation 69
- Epidemiology 299
- Behavioral Neuroscience 32
- Critical Care and Intensive Care Medicine 40
Countries citing papers authored by John Bartels
This map shows the geographic impact of John Bartels'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 John Bartels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Bartels more than expected).
Fields of papers citing papers by John Bartels
This network shows the impact of papers produced by John Bartels. 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 John Bartels. The network helps show where John Bartels may publish in the future.
Co-authors
The 25 scholars most cited alongside John Bartels, 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 | 2008 | 188 | |
| 2 | 2005 | 170 | |
| 3 | 2004 | 159 | |
| 4 | 2006 | 88 | |
| 5 | 2006 | 72 | |
| 6 | 2006 | 70 | |
| 7 | 2010 | 63 | |
| 8 | 2007 | 54 | |
| 9 | 2002 | 47 | |
| 10 | 2010 | 45 | |
| 11 | 2009 | 44 | |
| 12 | 2007 | 44 | |
| 13 | 2014 | 20 | |
| 14 | 2013 | 18 | |
| 15 | 2004 | 10 | |
| 16 | 2007 | 2 | |
| 17 | 2003 | 1 | |
| 18 | 2020 | 1 |
About John Bartels
John Bartels is a scholar working on Immunology, Molecular Biology, Epidemiology, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Gene Regulatory Network Analysis (3 papers), Receptor Mechanisms and Signaling (3 papers), Immune cells in cancer (3 papers), Sepsis Diagnosis and Treatment (3 papers), Heat shock proteins research (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Immunology (323 citations), Modeling and Simulation (69 citations), Epidemiology (299 citations), Behavioral Neuroscience (32 citations) and Critical Care and Intensive Care Medicine (40 citations). John Bartels has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Yoram Vodovotz, Gilles Clermont, Gary An, Carson C. Chow, Gregory Constantine, Rukmini Kumar, Marie Csete, Timothy R. Billiar, Steven C. Chang and Mitchell P. Fink. Their work appears in journals such as Shock, Computational Optimization and Applications, PLoS Computational Biology, Molecular Medicine and Journal of Critical Care.
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.