Michael W. Colopy

1.2k citations
17 papers · 969 · 1 hit paper · h-index 11

Impact in

  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections
    • Sexual function and dysfunction studies

Papers in

Michael W. Colopy

17 papers receiving 906 citations

Michael W. Colopy's Hit Papers

Clinical Signs and Symptoms Predicting Influenza Infection 2000 · 601 citations
6010+8+17Years since publication200400600

Peers

Michael W. Colopy
Comparison fields: 5 of 89
  • Epidemiology 463
  • Psychiatry and Mental health 148
  • Modeling and Simulation 42
  • Infectious Diseases 105
  • Urology 30
Replace Elizabeth Dansie Bacci with:
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Michael W. Colopy relative to Elizabeth Dansie Bacci United States Elizabeth Dansie Bacci's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael W. Colopy

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Colopy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Colopy. 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 Michael W. Colopy. The network helps show where Michael W. Colopy may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Clinical Signs and Symptoms Predicting Influenza Infection
Hit paper breakdown →
2000601
2 200671
3 200056
4 200454
5 200046
6 200842
7 199620
8 200018
9 201513
10 200513
11 201912
12 200011
13 20186
14 20242
15 20232
16 20211
17 20011

About Michael W. Colopy

Michael W. Colopy is a scholar working on Psychiatry and Mental health, Statistics and Probability, Toxicology, Anesthesiology and Pain Medicine and Immunology, having authored 17 papers that have together received 969 indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (4 papers), Statistical Methods in Clinical Trials (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Nausea and vomiting management (2 papers), Pharmaceutical Economics and Policy (2 papers), Anesthesia and Sedative Agents (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Epidemiology (463 citations), Psychiatry and Mental health (148 citations), Modeling and Simulation (42 citations), Infectious Diseases (105 citations) and Urology (30 citations). Michael W. Colopy has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael J. Elliott, Stefan Gravenstein, Jo Ellen Schweinle, Arnold S. Monto, Lee A. Fleisher, Rebecca S. Twersky, David S. Warner, Brenda D. Jamerson, S. Hogue and Kenneth J. Tuman. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Anesthesia & Analgesia, Drug Safety, British Journal of Urology and Clinical Therapeutics.

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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