Matthew C. Cave

5.4k citations
87 papers · 2.9k indexed · 1 hit paper · h-index 29
Topics
Liver Disease Diagnosis and Treatment (41 papers)Alcohol Consumption and Health Effects (22 papers)Adipose Tissue and Metabolism (14 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of ImmunologyGastroenterology
Partner nations
United StatesChinaIndia

In The Last Decade

Matthew C. Cave

85 papers receiving 2.9k citations

Hit Papers

Obesity I: Overview and molecular and biochemical mechanisms20222026202320242022255075100

Peers

Matthew C. Cave
Comparison fields: 5 of 131
  • Epidemiology 1.2k
  • Molecular Biology 866
  • Health, Toxicology and Mutagenesis 623
  • Pathology and Forensic Medicine 530
  • Physiology 496
Replace K. Cameron Falkner with:
K. Cameron Falkner United States
Juliane I. Beier United States
Banrida Wahlang United States
Angela L. Slitt United States
Keiichirou Morimura Japan
William H. Bisson United States
Jingqi Fu China
Lois D. Lehman‐McKeeman United States
Udayan Apte United States
Matthew C. Cave relative to K. Cameron Falkner United States K. Cameron Falkner's profile →
Citations per field
00.5×
K. Cameron Falkner · 1×
Citations per year

Countries citing papers authored by Matthew C. Cave

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Cave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Cave

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Cave. A scholar is included among the top collaborators of Matthew C. Cave based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew C. Cave. Matthew C. Cave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 19
3 5
4 3
5 5
6 10
7 3
8 1
9 6
10 11
11 11
12 21
13 28
14 2
15 40
16 41
17 5
18 27
19 51
20 29

About Matthew C. Cave

Matthew C. Cave is a scholar working on Epidemiology, Pharmacology and Pathology and Forensic Medicine, having authored 87 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (41 papers), Alcohol Consumption and Health Effects (22 papers) and Adipose Tissue and Metabolism (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (623 citations), Hepatology (280 citations) and Epidemiology (1.2k citations). Matthew C. Cave has collaborated with scholars based in United States, China and India. Frequent co-authors include Craig J. McClain, K. Cameron Falkner, Banrida Wahlang, Russell A. Prough, Swati Joshi‐Barve, Josiah Hardesty, Heather B. Clair, Shirish Barve, Leila Gobejishvili and Hongxue Shi. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Gastroenterology.

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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