Matthew Tuck

31 papers receiving 525 citations

Peers

Matthew Tuck
Comparison fields: 5 of 93
  • Health 72
  • Pharmacology 68
  • Internal Medicine 23
  • Endocrine and Autonomic Systems 33
  • Family Practice 10
Replace Hua Feng with:
Hua Feng United States
Erin Iturriaga United States
Michael Hüll United States
Stefan Viktor Vormfelde Germany
Jeong Yee South Korea
Simon Sanderson United Kingdom
C. Sirolla Italy
Pu Ge China
Sanjay Gandhi United States
Ruth SoRelle Sweden
Matthew Tuck relative to Hua Feng United States Hua Feng's profile →
Citations per field
00.5×2.6×
Hua Feng · 1×
Citations per year

Countries citing papers authored by Matthew Tuck

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201349
3 200548
4 200548
5 199841
6 201535
7 200632
8 200530
9 201829
10 201629
11 200528
12 200525
13 202115
14 200511
15 201611
16 202011
17 202011
18 20136
19 20176
20 20196

About Matthew Tuck

Matthew Tuck is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Physiology, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 35 papers that have together received 549 indexed citations. Recurring topics across this work include Innovations in Medical Education (8 papers), Pharmacogenetics and Drug Metabolism (5 papers), Hormonal Regulation and Hypertension (5 papers), Receptor Mechanisms and Signaling (3 papers), Radiology practices and education (3 papers), Clinical Reasoning and Diagnostic Skills (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Health (72 citations), Pharmacology (68 citations), Internal Medicine (23 citations), Endocrine and Autonomic Systems (33 citations) and Family Practice (10 citations). Matthew Tuck has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Katherine C. Chretien, Kazuko Masuo, Takehide Ogihara, Tomohiro Katsuya, Yuan Fu, Hiromi Rakugi, Donald E. Henson, Terry Kind, Lisa Singh and Bernadette K. McLaren. Their work appears in journals such as American Journal of Hypertension, Journal of General Internal Medicine, Archives of Pathology & Laboratory Medicine, International Review of Psychiatry and Journal of Thrombosis and Haemostasis.

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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