Matt Cave

28 papers receiving 2.2k citations

Peers

Matt Cave
Comparison fields: 5 of 120
  • Epidemiology 1.1k
  • Health, Toxicology and Mutagenesis 397
  • Hepatology 223
  • Pathology and Forensic Medicine 481
  • Endocrinology, Diabetes and Metabolism 396
Replace Juliane I. Beier with:
Juliane I. Beier United States
Felipe Javier Chaves Spain
Marcello Dallio Italy
Y. James Kang United States
O Karmin Canada
Virgilia Soto Mexico
Halina Cichoż‐Lach Poland
Nathan J. Cherrington United States
Karima Begriche France
Ignazio Grattagliano Italy
Matt Cave relative to Juliane I. Beier United States Juliane I. Beier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matt Cave

Since Specialization
Citations

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

Fields of papers citing papers by Matt Cave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008389
2 2010235
3 2007231
4 2009176
5 2013155
6 2012149
7 2008139
8 2010138
9 2014118
10 2009112
11 201875
12 201151
13 201637
14 201132
15 201531
16 201026
17 201625
18 201622
19 201917
20 202313

About Matt Cave

Matt Cave is a scholar working on Epidemiology, Physiology, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Alcohol Consumption and Health Effects (7 papers), Diet and metabolism studies (6 papers), Carcinogens and Genotoxicity Assessment (4 papers), Diet, Metabolism, and Disease (3 papers), Clinical Nutrition and Gastroenterology (3 papers), Liver Disease and Transplantation (3 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Epidemiology (1.1k citations), Health, Toxicology and Mutagenesis (397 citations), Hepatology (223 citations), Pathology and Forensic Medicine (481 citations) and Endocrinology, Diabetes and Metabolism (396 citations). Matt Cave has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Craig J. McClain, K. Cameron Falkner, Banrida Wahlang, Guy Brock, Shirish Barve, Irina Kirpich, Ion V. Deaciuc, Savitri Appana, Heather B. Clair and Thomas H. Frazier. Their work appears in journals such as Journal of Parenteral and Enteral Nutrition, Hepatology, The Journal of Nutritional Biochemistry, Toxicology and Applied Pharmacology and Environmental Health Perspectives.

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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