Matthew Scherer

429 citations
16 papers · 274 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • COVID-19 Clinical Research Studies
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Hepatitis B Virus Studies 3
    • HIV, Drug Use, Sexual Risk 3
    • Hepatitis C virus research 5

Matthew Scherer

14 papers receiving 271 citations

Peers

Matthew Scherer
Comparison fields: 5 of 49
  • Hepatology 64
  • Infectious Diseases 116
  • Obstetrics and Gynecology 19
  • Epidemiology 72
  • Neurology 21
Replace Deblina Datta with:
Deblina Datta United States
D. Conte Brazil
Michael T. Ou United States
Elif Sargın Altunok Türkiye
Cindy Pynadath United States
Stephanie G. Yi United States
Ashraf Reyad United States
Juan Deng China
Christopher E. Freise United States
Francesca Puoti Italy
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Citations per field
00.5×10×17×
Deblina Datta · 1×
Citations per year

Countries citing papers authored by Matthew Scherer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202084
2 201843
3 202128
4 200526
5 202018
6 201415
7 202113
8 202112
9 201810
10 20089
11 20205
12 20195
13 20195
14 20231
15 20240
16 20250

About Matthew Scherer

Matthew Scherer is a scholar working on Epidemiology, Hepatology, Infectious Diseases, General Health Professions and Surgery, having authored 16 papers that have together received 274 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Antibiotic Use and Resistance (1 paper), Opioid Use Disorder Treatment (1 paper), Patient Satisfaction in Healthcare (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Hepatology (64 citations), Infectious Diseases (116 citations), Obstetrics and Gynecology (19 citations), Epidemiology (72 citations) and Neurology (21 citations). Matthew Scherer has collaborated with scholars based in United States, Iceland and Ireland. Frequent co-authors include Jason Zucker, Michael T. Yin, Magdalena E. Sobieszczyk, Noga Shalev, Elijah LaSota, Benjamin Eckhardt, Kristen Marks, Brian R. Edlin, Peter Gordon and Delivette Castor. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, AIDS Patient Care and STDs, AIDS Care and Scandinavian Cardiovascular Journal.

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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