Nathan Starr
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Long-Term Effects of COVID-19
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- COVID-19 Clinical Research Studies 2
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- Sepsis Diagnosis and Treatment 2
- Co-authors
- Rajendu Srivastava (4 shared papers)Samuel M. Brown (3 shared papers)Whitney R. Buckel (3 shared papers)Ithan D. Peltan (3 shared papers)Brandon Webb (3 shared papers)Dave Morris (1 shared paper)Bradley D. Hunter (1 shared paper)Daanish Hoda (1 shared paper)
- Journals
- Annals of the American Thoracic Society (2 papers)Pharmacology Research & Perspectives (1 paper)The Lancet Rheumatology (1 paper)Quality Management in Health Care (1 paper)JAMA Neurology (1 paper)
- Partner nations
- United States
In The Last Decade
Nathan Starr
7 papers receiving 469 citations
Nathan Starr's Hit Papers
Peers
Comparison fields: 5 of 74
- Neurology 191
- Infectious Diseases 146
- Hematology 52
- Cellular and Molecular Neuroscience 63
- Neurology 25
Countries citing papers authored by Nathan Starr
This map shows the geographic impact of Nathan Starr'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 Nathan Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Starr more than expected).
Fields of papers citing papers by Nathan Starr
This network shows the impact of papers produced by Nathan Starr. 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 Nathan Starr. The network helps show where Nathan Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Starr, 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 | Clinical criteria for COVID-19-associated hyperinflammatory syndrome: a cohort study Hit paper breakdown → | 2020 | 218 |
| 2 | 2019 | 131 | |
| 3 | 2019 | 83 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 1 | |
| 7 | 2022 | 1 |
About Nathan Starr
Nathan Starr is a scholar working on Infectious Diseases, Epidemiology, Hematology, Molecular Biology and Nephrology, having authored 7 papers that have together received 476 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Sepsis Diagnosis and Treatment (2 papers), Renal function and acid-base balance (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Frailty in Older Adults (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Neurology (191 citations), Infectious Diseases (146 citations), Hematology (52 citations), Cellular and Molecular Neuroscience (63 citations) and Neurology (25 citations). Nathan Starr has collaborated with scholars based in United States. Frequent co-authors include Rajendu Srivastava, Samuel M. Brown, Whitney R. Buckel, Ithan D. Peltan, Brandon Webb, Dave Morris, Bradley D. Hunter, Daanish Hoda, Nancy Grisel and Paul N. Jensen. Their work appears in journals such as Annals of the American Thoracic Society, Pharmacology Research & Perspectives, The Lancet Rheumatology, Quality Management in Health Care and JAMA Neurology.
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.