Steven Sanche

2.7k citations
19 papers · 1.5k · 1 hit paper · h-index 11

Impact in

Papers in

Steven Sanche

19 papers receiving 1.5k citations

Steven Sanche's Hit Papers

High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 2020 · 1000 citations
10000+2+4Years since publication2505007501000

Peers

Steven Sanche
Comparison fields: 5 of 141
  • Modeling and Simulation 459
  • Infectious Diseases 476
  • Health 161
  • General Dentistry 16
  • Emergency Medicine 54
Replace Mike Yat Wah Kwan with:
Mike Yat Wah Kwan Hong Kong
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Brian T. Garibaldi United States
Qianhui Wu China
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Yinxiaohe Sun Singapore
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Steven Sanche relative to Mike Yat Wah Kwan Hong Kong Mike Yat Wah Kwan's profile →
Citations per field
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Mike Yat Wah Kwan · 1×
Citations per year

Countries citing papers authored by Steven Sanche

Since Specialization
Citations

This map shows the geographic impact of Steven Sanche'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 Steven Sanche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Sanche more than expected).

Fields of papers citing papers by Steven Sanche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Sanche. 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 Steven Sanche. The network helps show where Steven Sanche may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven Sanche, 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 Steven Sanche Line = papers co-authored together Steven Sanche links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2
Hit paper breakdown →
20201000
2 2018104
3 202186
4 201767
5 201261
6 201057
7 201241
8 201624
9 202219
10 201416
11 201312
12 20178
13 20137
14 20226
15 20184
16 20244
17 20204
18
Closer Than You Think: Linking Primary Care to Emergency Department Use in Quebec
20134
19 20081

About Steven Sanche

Steven Sanche is a scholar working on Infectious Diseases, Emergency Medicine, Psychiatry and Mental health, General Health Professions and Virology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (3 papers), COVID-19 epidemiological studies (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV Research and Treatment (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Primary Care and Health Outcomes (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Nanoparticles: synthesis and applications (1 paper). The work is most often cited by research in Modeling and Simulation (459 citations), Infectious Diseases (476 citations), Health (161 citations), General Dentistry (16 citations) and Emergency Medicine (54 citations). Steven Sanche has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Ruian Ke, Nicolas Hengartner, Ethan Romero-Severson, Chonggang Xu, Yen Ting Lin, Jeannie Haggerty, Antonio Ciampi, Jane McCusker, Jean‐Frédéric Lévesque and José Almirall. Their work appears in journals such as Scientific Reports, International Psychogeriatrics, Journal of the American Medical Directors Association, Antiviral Research and CPT Pharmacometrics & Systems Pharmacology.

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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