John Marcinak

2.3k citations
56 papers · 1.5k · h-index 19

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 9
    • Antifungal resistance and susceptibility 4
    • Liver Disease Diagnosis and Treatment 4
    • Fungal Infections and Studies 3

John Marcinak

50 papers receiving 1.4k citations

Peers

John Marcinak
Comparison fields: 5 of 95
  • Infectious Diseases 654
  • Clinical Biochemistry 210
  • Pharmacology 103
  • Epidemiology 351
  • Endocrinology, Diabetes and Metabolism 173
Replace Chun‐Yu Lin with:
Chun‐Yu Lin Taiwan
Patty Fan‐Havard United States
André N. Sofair United States
Philip C. Craven United States
Julie Delaloye Switzerland
Kayla R. Stover United States
Guglielmo Borgia Italy
Raymond Cha United States
Dante Bassetti Italy
P Van der Auwera Belgium
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Citations per field
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Citations per year

Countries citing papers authored by John Marcinak

Since Specialization
Citations

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

Fields of papers citing papers by John Marcinak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002239
2 2012219
3 1999134
4 2003100
5 199982
6 200681
7 200056
8 200645
9 201935
10 201835
11 201932
12 200728
13 200828
14 202027
15 201924
16 200721
17 199020
18 201819
19 200219
20 200918

About John Marcinak

John Marcinak is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Pharmacology and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Antifungal resistance and susceptibility (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Fungal Infections and Studies (3 papers), Diabetes Treatment and Management (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (654 citations), Clinical Biochemistry (210 citations), Pharmacology (103 citations), Epidemiology (351 citations) and Endocrinology, Diabetes and Metabolism (173 citations). John Marcinak has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Arthur L. Frank, Paul C. Schreckenberger, John P. Quinn, Charlie Cao, Prabhakar Viswanathan, Eckhard Leifke, Majid Vakilynejad, Benhuai Xie, Charles Burant and Kanokporn Mongkolrattanothai. Their work appears in journals such as The Pediatric Infectious Disease Journal, Drug Safety, Alimentary Pharmacology & Therapeutics, Journal of Hepatology and Journal of Viral Hepatitis.

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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