Steve Chu
Impact in
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment
- Influenza Virus Research Studies
- Respiratory viral infections research
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- Nosocomial Infections in ICU
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 6
- Sepsis Diagnosis and Treatment 4
- Chronic Disease Management Strategies 1
- Respiratory viral infections research 1
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Jeffrey A. Kelman (16 shared papers)Thomas E. MaCurdy (10 shared papers)Michael Wernecke (7 shared papers)Timothy G. Buchman (5 shared papers)Michael W. Collier (5 shared papers)Steven Q. Simpson (5 shared papers)Kimberly L. Sciarretta (5 shared papers)Gary L. Disbrow (5 shared papers)
- Journals
- Vaccine (6 papers)Critical Care Medicine (4 papers)Pharmacoepidemiology and Drug Safety (2 papers)Human Vaccines & Immunotherapeutics (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Steve Chu
18 papers receiving 587 citations
Peers
Comparison fields: 5 of 84
- Epidemiology 393
- Critical Care and Intensive Care Medicine 46
- Family Practice 12
- Health 29
- Infectious Diseases 54
Countries citing papers authored by Steve Chu
This map shows the geographic impact of Steve Chu'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 Steve Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Chu more than expected).
Fields of papers citing papers by Steve Chu
This network shows the impact of papers produced by Steve Chu. 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 Steve Chu. The network helps show where Steve Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Chu, 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 | 203 | |
| 2 | 2018 | 143 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 39 | |
| 5 | 2017 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2006 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2021 | 2 |
About Steve Chu
Steve Chu is a scholar working on Epidemiology, Health, Neurology, Geriatrics and Gerontology and Modeling and Simulation, having authored 18 papers that have together received 609 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Sepsis Diagnosis and Treatment (4 papers), Vaccine Coverage and Hesitancy (3 papers), Peripheral Neuropathies and Disorders (2 papers), COVID-19 epidemiological studies (1 paper), Chronic Disease Management Strategies (1 paper), Respiratory viral infections research (1 paper) and Frailty in Older Adults (1 paper). The work is most often cited by research in Epidemiology (393 citations), Critical Care and Intensive Care Medicine (46 citations), Family Practice (12 citations), Health (29 citations) and Infectious Diseases (54 citations). Steve Chu has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Jeffrey A. Kelman, Thomas E. MaCurdy, Michael Wernecke, Timothy G. Buchman, Michael W. Collier, Steven Q. Simpson, Kimberly L. Sciarretta, Gary L. Disbrow, Kristen P. Finne and Saurabh Chavan. Their work appears in journals such as Vaccine, Critical Care Medicine, Pharmacoepidemiology and Drug Safety, Human Vaccines & Immunotherapeutics and The Journal of Infectious Diseases.
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.