Mark E. Mailliard

1.4k citations
42 papers · 1.2k · h-index 19

Impact in

    • Amino Acid Enzymes and Metabolism
  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver physiology and pathology

Papers in

    • Hepatitis C virus research 9
    • Liver physiology and pathology 6
    • Amino Acid Enzymes and Metabolism 9
    • Sulfur Compounds in Biology 2

Mark E. Mailliard

42 papers receiving 1.1k citations

Peers

Mark E. Mailliard
Comparison fields: 5 of 75
  • Biochemistry 149
  • Hepatology 201
  • Pathology and Forensic Medicine 352
  • Rheumatology 112
  • Epidemiology 210
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Citations per year

Countries citing papers authored by Mark E. Mailliard

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Mailliard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006186
2 2003108
3 1995106
4 200586
5 200481
6 200573
7 198451
8 198650
9 201645
10 200743
11 199940
12 200135
13 199031
14 200528
15 202028
16 199023
17 200323
18 199222
19
Hepatitis-C prevalence in an urban native-American clinic: a prospective screening study.
200722
20 200319

About Mark E. Mailliard

Mark E. Mailliard is a scholar working on Hepatology, Biochemistry, Pathology and Forensic Medicine, Epidemiology and Rheumatology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Amino Acid Enzymes and Metabolism (9 papers), Alcohol Consumption and Health Effects (8 papers), Liver physiology and pathology (6 papers), Folate and B Vitamins Research (3 papers), Hepatitis B Virus Studies (3 papers), Neuropeptides and Animal Physiology (3 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Biochemistry (149 citations), Hepatology (201 citations), Pathology and Forensic Medicine (352 citations), Rheumatology (112 citations) and Epidemiology (210 citations). Mark E. Mailliard has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Dean J. Tuma, Michael F. Sorrell, Kusum K. Kharbanda, Harriet C. Beckenhauer, Josh Levitsky, Anthony J. Barak, Bruce R. Stevens, John L. Gollan, Giovanni E. Mann and Gary D. Volentine. Their work appears in journals such as Hepatology, Biochemical and Biophysical Research Communications, Biochemical Pharmacology, The American Journal of Gastroenterology and Journal of Hepatology.

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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