Steve Chu

763 total citations · 1 hit paper
17 papers, 518 citations indexed

About

Steve Chu is a scholar working on Epidemiology, Health and Infectious Diseases. According to data from OpenAlex, Steve Chu has authored 17 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 6 papers in Health and 4 papers in Infectious Diseases. Recurrent topics in Steve Chu's work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (6 papers) and Sepsis Diagnosis and Treatment (5 papers). Steve Chu is often cited by papers focused on Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (6 papers) and Sepsis Diagnosis and Treatment (5 papers). Steve Chu collaborates with scholars based in United States, China and Spain. Steve Chu's co-authors include Jeffrey A. Kelman, Thomas MaCurdy, Michael Wernecke, Gary L. Disbrow, Michael Collier, Steven Q. Simpson, Kimberly L. Sciarretta, Timothy G. Buchman, Saurabh Chavan and Kristen Finne and has published in prestigious journals such as The Journal of Infectious Diseases, Critical Care Medicine and Vaccine.

In The Last Decade

Steve Chu

17 papers receiving 503 citations

Hit Papers

Sepsis Among Medicare Beneficiaries: 1. The Burdens of Se... 2020 2026 2022 2024 2020 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*
    2020 177 citations Timothy G. Buchman, Steven Q. Simpson et al. Critical Care Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steve Chu United States 11 397 85 79 75 52 17 518
Jonathan Baghdadi United States 15 228 0.6× 20 0.2× 129 1.6× 50 0.7× 68 1.3× 43 575
Douwe F. Postma Netherlands 13 488 1.2× 48 0.6× 182 2.3× 108 1.4× 101 1.9× 37 733
Janet A. Jokela United States 13 192 0.5× 24 0.3× 86 1.1× 14 0.2× 43 0.8× 27 537
Marissa M. Alejandria Philippines 10 315 0.8× 18 0.2× 195 2.5× 88 1.2× 24 0.5× 36 706
Marina Esposito‐Farèse France 13 208 0.5× 16 0.2× 56 0.7× 40 0.5× 41 0.8× 21 552
Navkiran Kaur India 10 110 0.3× 79 0.9× 28 0.4× 32 0.4× 35 0.7× 47 415
Sarah Warner United States 14 187 0.5× 36 0.4× 273 3.5× 75 1.0× 38 0.7× 33 933
Susanne M. Huijts Netherlands 16 815 2.1× 65 0.8× 57 0.7× 42 0.6× 130 2.5× 27 962
Cinta de Diego‐Cabanes Spain 18 583 1.5× 75 0.9× 145 1.8× 29 0.4× 67 1.3× 54 780
Eoghan de Barra Ireland 13 125 0.3× 31 0.4× 167 2.1× 27 0.4× 17 0.3× 48 611

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-authorship network of co-authors of Steve Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Chu. A scholar is included among the top collaborators of Steve Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Chu. Steve Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2021). Seasonal influenza vaccination is associated with reduced risk of death among Medicare beneficiaries☆. Vaccine. 39(52). 7569–7577. 2 indexed citations
2.
Frank, Charles E., Timothy G. Buchman, Steven Q. Simpson, et al.. (2021). Sepsis Among Medicare Beneficiaries: 4. Precoronavirus Disease 2019 Update January 2012–February 2020. Critical Care Medicine. 49(12). 2058–2069. 12 indexed citations
3.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 1. The Burdens of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 276–288. 177 indexed citations breakdown →
4.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 3. The Methods, Models, and Forecasts of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 302–318. 45 indexed citations
5.
Pérez-Vilar, Silvia, Mao Hu, Eric Weintraub, et al.. (2020). Guillain-Barré Syndrome After High-Dose Influenza Vaccine Administration in the United States, 2018–2019 Season. The Journal of Infectious Diseases. 223(3). 416–425. 14 indexed citations
6.
Buchman, Timothy G., Steven Q. Simpson, Kimberly L. Sciarretta, et al.. (2020). Sepsis Among Medicare Beneficiaries: 2. The Trajectories of Sepsis, 2012–2018*. Critical Care Medicine. 48(3). 289–301. 33 indexed citations
7.
Shen, Angela K., et al.. (2019). Vaccination among Medicare-fee-for service beneficiaries: Characteristics and predictors of vaccine receipt, 2014–2017. Vaccine. 37(9). 1194–1201. 21 indexed citations
8.
9.
Pérez-Vilar, Silvia, Michael Wernecke, Mao Hu, et al.. (2019). Surveillance for Guillain-Barré syndrome after influenza vaccination among U.S. Medicare beneficiaries during the 2017–2018 season. Vaccine. 37(29). 3856–3865. 15 indexed citations
10.
Forshee, Richard A., Mao Hu, Silvia Pérez-Vilar, et al.. (2019). A simulation study of the statistical power and signaling characteristics of an early season sequential test for influenza vaccine safety. Pharmacoepidemiology and Drug Safety. 28(8). 1077–1085. 3 indexed citations
11.
Izurieta, Héctor S., Yun Lu, Yoganand Chillarige, et al.. (2019). Zostavax vaccine effectiveness among US elderly using real‐world evidence: Addressing unmeasured confounders by using multiple imputation after linking beneficiary surveys with Medicare claims. Pharmacoepidemiology and Drug Safety. 28(7). 993–1001. 12 indexed citations
12.
Shen, Angela K., et al.. (2019). Patient characteristics of Medicare beneficiaries who report not getting influenza and pneumococcal vaccinations, 2001–2013. Human Vaccines & Immunotherapeutics. 16(5). 1086–1092. 8 indexed citations
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15.
Izurieta, Héctor S., Yoganand Chillarige, Jeffrey A. Kelman, et al.. (2018). Relative Effectiveness of Cell-Cultured and Egg-Based Influenza Vaccines Among Elderly Persons in the United States, 2017–2018. The Journal of Infectious Diseases. 220(8). 1255–1264. 125 indexed citations
16.
Shen, Angela K., Jeffrey A. Kelman, Weiwei Zhang, et al.. (2017). Beneficiary characteristics and vaccinations in the end-stage renal disease Medicare beneficiary population, an analysis of claims data 2006–2015. Vaccine. 35(52). 7302–7308. 20 indexed citations
17.
Zhao, Lin, Huali Jin, Ruiping She, et al.. (2006). A rodent model for allergic dermatitis induced by flea antigens. Veterinary Immunology and Immunopathology. 114(3-4). 285–296. 16 indexed citations

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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