Steve Chu

763 citations
17 papers · 518 indexed · 1 hit paper · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 10
    • Sepsis Diagnosis and Treatment 5
    • Respiratory viral infections research 2
    • Vaccine Coverage and Hesitancy 6

Steve Chu

17 papers receiving 503 citations

Hit Papers

Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018* 2020 · 177 citations
1770+2+4Years since publication50100150

Peers

Steve Chu
Comparison fields: 5 of 86
  • Critical Care and Intensive Care Medicine 75
  • Family Practice 30
  • Epidemiology 397
  • Health 85
  • Emergency Medicine 52
Replace Marissa M. Alejandria with:
Marissa M. Alejandria Philippines
Jonathan Baghdadi United States
Janet A. Jokela United States
Marvin S. Krober United States
Jason Lake United States
Silvia Spoto Italy
Filipe Froes Portugal
Geert H. Groeneveld Netherlands
Donia Bouzid France
Åsa Askim Norway
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Citations per field
00.5×4.7×
Marissa M. Alejandria · 1×
Citations per year

Countries citing papers authored by Steve Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Steve Chu Line = papers co-authored together Steve Chu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*
Hit paper breakdown →
2020177
2 2018125
3 202045
4 202033
5 201921
6 201720
7 200616
8 201915
9 202014
10 201912
11 202112
12 20189
13 20198
14 20184
15 20193
16 20192
17 20212

About Steve Chu

Steve Chu is a scholar working on Epidemiology, Health, Infectious Diseases, Emergency Medicine and Neurology, having authored 17 papers that have together received 518 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (6 papers), Sepsis Diagnosis and Treatment (5 papers), Emergency and Acute Care Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Peripheral Neuropathies and Disorders (3 papers), Respiratory viral infections research (2 papers) and Smoking Behavior and Cessation (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (75 citations), Family Practice (30 citations), Epidemiology (397 citations), Health (85 citations) and Emergency Medicine (52 citations). Steve Chu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Jeffrey A. Kelman, Thomas MaCurdy, Michael Wernecke, Gary L. Disbrow, Kimberly L. Sciarretta, Saurabh Chavan, Steven Q. Simpson, Michael Collier, Timothy G. Buchman and Kristen Finne. Their work appears in journals such as Vaccine, Critical Care Medicine, The Journal of Infectious Diseases, Human Vaccines & Immunotherapeutics and Pharmacoepidemiology and Drug Safety.

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.

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