John C. Eppensteiner
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 detection and testing 1
-
- Advanced Glycation End Products research 2
- Co-authors
- Andrew S. Barbas (2 shared papers)Jean Kwun (2 shared papers)Robert Patrick Davis (1 shared paper)Jae Woo Lee (1 shared paper)Alexander T. Limkakeng (3 shared papers)Allan D. Kirk (3 shared papers)Eric A. Elster (3 shared papers)Uwe Scheuermann (1 shared paper)
- Journals
- JAMA Network Open (3 papers)Frontiers in Immunology (2 papers)Toxicon (1 paper)JAMA (1 paper)Annals of the American Thoracic Society (1 paper)
- Partner nations
- United States
In The Last Decade
John C. Eppensteiner
11 papers receiving 509 citations
Peers
Comparison fields: 5 of 90
- Infectious Diseases 230
- Neurology 107
- Critical Care and Intensive Care Medicine 26
- Applied Microbiology and Biotechnology 8
- Biological Psychiatry 6
Countries citing papers authored by John C. Eppensteiner
This map shows the geographic impact of John C. Eppensteiner'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 C. Eppensteiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Eppensteiner more than expected).
Fields of papers citing papers by John C. Eppensteiner
This network shows the impact of papers produced by John C. Eppensteiner. 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 C. Eppensteiner. The network helps show where John C. Eppensteiner may publish in the future.
Co-authors
The 13 scholars most cited alongside John C. Eppensteiner, 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 | 2020 | 317 | |
| 2 | 2019 | 58 | |
| 3 | 2018 | 45 | |
| 4 | 2023 | 33 | |
| 5 | 2020 | 26 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2025 | 5 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2018 | 1 |
About John C. Eppensteiner
John C. Eppensteiner is a scholar working on Infectious Diseases, Clinical Biochemistry, Immunology, Microbiology and Nephrology, having authored 11 papers that have together received 516 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Advanced Glycation End Products research (2 papers), Venomous Animal Envenomation and Studies (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Long-Term Effects of COVID-19 (1 paper), Sepsis Diagnosis and Treatment (1 paper), SARS-CoV-2 detection and testing (1 paper) and Heme Oxygenase-1 and Carbon Monoxide (1 paper). The work is most often cited by research in Infectious Diseases (230 citations), Neurology (107 citations), Critical Care and Intensive Care Medicine (26 citations), Applied Microbiology and Biotechnology (8 citations) and Biological Psychiatry (6 citations). John C. Eppensteiner has collaborated with scholars based in United States. Frequent co-authors include Andrew S. Barbas, Jean Kwun, Robert Patrick Davis, Jae Woo Lee, Alexander T. Limkakeng, Allan D. Kirk, Eric A. Elster, Uwe Scheuermann, Jaewoo Lee and Maragatha N. Kuchibhatla. Their work appears in journals such as JAMA Network Open, Frontiers in Immunology, Toxicon, JAMA and Annals of the American Thoracic Society.
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.