Matt Cave

3.1k citations
28 papers · 2.3k · h-index 19

Impact in

Papers in

Matt Cave

28 papers receiving 2.2k citations

Peers

Matt Cave
Comparison fields: 5 of 119
  • Epidemiology 916
  • Health, Toxicology and Mutagenesis 378
  • Pathology and Forensic Medicine 437
  • Hepatology 169
  • Endocrinology, Diabetes and Metabolism 321
Replace Felipe Javier Chaves with:
Felipe Javier Chaves Spain
Marcello Dallio Italy
Y. James Kang United States
Halina Cichoż‐Lach Poland
Nathan J. Cherrington United States
Karima Begriche France
Robert G. Nichols United States
Virgilia Soto Mexico
Dan‐Qian Chen China
Sirkku Jäntti Finland
Matt Cave relative to Felipe Javier Chaves Spain Felipe Javier Chaves's profile →
Citations per field
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Felipe Javier Chaves · 1×
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 2008394
2 2010241
3 2007231
4 2009178
5 2013159
6 2012152
7 2008139
8 2010139
9 2014120
10 2009114
11 201878
12 201151
13 201638
14 201533
15 201132
16 201026
17 201625
18 201622
19 201919
20 202313

About Matt Cave

Matt Cave is a scholar working on Physiology, Health, Toxicology and Mutagenesis, Epidemiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Diet and metabolism studies (5 papers), Alcohol Consumption and Health Effects (4 papers), Toxic Organic Pollutants Impact (4 papers), Clinical Nutrition and Gastroenterology (3 papers), Electrolyte and hormonal disorders (2 papers), Nutrition and Health in Aging (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Epidemiology (916 citations), Health, Toxicology and Mutagenesis (378 citations), Pathology and Forensic Medicine (437 citations), Hepatology (169 citations) and Endocrinology, Diabetes and Metabolism (321 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 Т. А. Бажукова. Their work appears in journals such as Hepatology, The Journal of Nutritional Biochemistry, Journal of Parenteral and Enteral Nutrition, Environmental Health Perspectives and Toxicology and Applied Pharmacology.

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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