Mack C. Mitchell

4.0k citations
77 papers · 2.6k · h-index 28

Impact in

Papers in

Mack C. Mitchell

71 papers receiving 2.5k citations

Peers

Mack C. Mitchell
Comparison fields: 5 of 120
  • Hepatology 773
  • Pathology and Forensic Medicine 822
  • Pharmacology 367
  • Epidemiology 1.1k
  • Biochemistry 191
Replace Anastacio M. Hoyumpa with:
Anastacio M. Hoyumpa United States
Marco Bertolotti Italy
Claus U. Niemann United States
Shelby Sullivan United States
E. G. Hahn Germany
David L. Earnest United States
David Sacerdoti Italy
Debbie L. Shawcross United Kingdom
Massimo Bolognesi Italy
Chia‐Chao Wu Taiwan
Mack C. Mitchell relative to Anastacio M. Hoyumpa United States Anastacio M. Hoyumpa's profile →
Citations per field
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Anastacio M. Hoyumpa · 1×
Citations per year

Countries citing papers authored by Mack C. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Mack C. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mack C. Mitchell. 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 Mack C. Mitchell. The network helps show where Mack C. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990258
2 1982240
3 1999153
4 2013115
5 2013100
6 198589
7 198687
8 198183
9 199176
10 198967
11 199167
12 202267
13 201464
14 201661
15 201955
16 198455
17 198354
18 201951
19 198943
20 201842

About Mack C. Mitchell

Mack C. Mitchell is a scholar working on Pathology and Forensic Medicine, Epidemiology, Hepatology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 77 papers that have together received 2.6k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (38 papers), Liver Disease Diagnosis and Treatment (34 papers), Diet, Metabolism, and Disease (14 papers), Liver Disease and Transplantation (14 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Pharmacogenetics and Drug Metabolism (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Hepatology (773 citations), Pathology and Forensic Medicine (822 citations), Pharmacology (367 citations), Epidemiology (1.1k citations) and Biochemistry (191 citations). Mack C. Mitchell has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include H. F. Herlong, Esteban Mezey, Willis C. Maddrey, John K. Boitnott, K. V. Speeg, Steven L. Kaufman, John L. Cameron, Steven Schenker, Craig J. McClain and Richard L. Veech. Their work appears in journals such as Hepatology, Alcoholism Clinical and Experimental Research, Hepatology Communications, Gastroenterology and Clinical Gastroenterology and 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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