Mark A. Schmidt

3k citations
105 papers · 2.3k · h-index 22

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Liver Diseases and Immunity
    • Bacterial Infections and Vaccines

Papers in

    • Hepatitis C virus research 38
    • Liver Diseases and Immunity 7
    • Viral gastroenteritis research and epidemiology 13

Mark A. Schmidt

98 papers receiving 2.2k citations

Peers

Mark A. Schmidt
Comparison fields: 5 of 91
  • Hepatology 918
  • Microbiology 299
  • Epidemiology 580
  • Infectious Diseases 292
  • Modeling and Simulation 55
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Jan Drobeniuc United States
Tim G. Wreghitt United Kingdom
Zundong Yin China
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Citations per field
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Citations per year

Countries citing papers authored by Mark A. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Schmidt. 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 Mark A. Schmidt. The network helps show where Mark A. Schmidt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009320
2 2020155
3 2009133
4 2014106
5 2017105
6 201495
7 201489
8 201769
9 201668
10 201465
11 201555
12 201750
13 202150
14 201845
15 201945
16 201444
17 201638
18 201738
19 201534
20 201632

About Mark A. Schmidt

Mark A. Schmidt is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Health Information Management and Health, having authored 105 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (38 papers), Hepatitis B Virus Studies (15 papers), Viral gastroenteritis research and epidemiology (13 papers), Liver Diseases and Immunity (7 papers), Data-Driven Disease Surveillance (4 papers), Respiratory viral infections research (4 papers), Medical Coding and Health Information (4 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Hepatology (918 citations), Microbiology (299 citations), Epidemiology (580 citations), Infectious Diseases (292 citations) and Modeling and Simulation (55 citations). Mark A. Schmidt has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Stuart C. Gordon, Loralee B. Rupp, Joseph A. Boscarino, Mei Lü, Anne C. Moorman, Philip R. Spradling, Eyasu H. Teshale, Scott D. Holmberg, Yihe Goh Daida and Vinutha Vijayadeva. Their work appears in journals such as Clinical Infectious Diseases, Journal of Viral Hepatitis, PLoS ONE, Open Forum Infectious Diseases and Digestive Diseases and Sciences.

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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