Matthew Peak

106 papers receiving 2.5k citations

Peers

Matthew Peak
Comparison fields: 5 of 124
  • Toxicology 121
  • Pediatrics, Perinatology and Child Health 505
  • Geriatrics and Gerontology 83
  • Endocrinology, Diabetes and Metabolism 348
  • Automotive Engineering 270
Replace Péter Gál with:
Péter Gál Slovakia
Dave L. Dixon United States
Matthieu Roustit France
Lawrence A. Trissel United States
Daniel R. Morales United Kingdom
Ștefan Cristian Vesa Romania
Yuqing Zhang China
Elena Cavarretta Italy
Ming-Horng Tsai Taiwan
Giuseppina Russo Italy
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Citations per year

Countries citing papers authored by Matthew Peak

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Peak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019128
2 1996124
3 1993120
4 2013112
5 201396
6 201381
7 201974
8 199069
9 201268
10 201665
11 199262
12 200057
13 202155
14 201755
15 199554
16 199852
17 199852
18 201850
19 201948
20 201848

About Matthew Peak

Matthew Peak is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 109 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (24 papers), Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (9 papers), 3D Printing in Biomedical Research (9 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Diabetes Management and Research (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). The work is most often cited by research in Toxicology (121 citations), Pediatrics, Perinatology and Child Health (505 citations), Geriatrics and Gerontology (83 citations), Endocrinology, Diabetes and Metabolism (348 citations) and Automotive Engineering (270 citations). Matthew Peak has collaborated with scholars based in United Kingdom, Poland and Brazil. Frequent co-authors include Loranne Agius, M. Turner, Anthony J Nunn, Mohamed A. Alhnan, Abdullah Isreb, Molham Al‐Habori, James L. Ford, Munir Pirmohamed, Utpal Shah and Roberta Richey. Their work appears in journals such as PLoS ONE, International Journal of Pharmaceutics, Biochemical Journal, BMJ Open and Biochemical Society Transactions.

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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