Matthew Gregas

23 papers receiving 1.3k citations

Peers

Matthew Gregas
Comparison fields: 5 of 114
  • Pediatrics, Perinatology and Child Health 390
  • Equine 34
  • Safety Research 146
  • Health, Toxicology and Mutagenesis 193
  • Clinical Psychology 190
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Lynne M. Smith United States
Vijaya Kancherla United States
Anastasios Papadimitriou Greece
H.A. Delemarre‐van de Waal Netherlands
Hilde Spielvogel Bolivia
Michael Papsdorf Canada
Cheng-ye Ji China
Hua‐Fang Liao Taiwan
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Citations per year

Countries citing papers authored by Matthew Gregas

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gregas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011183
2 2011150
3 2009133
4 2012130
5 2010113
6 2011109
7 2011102
8 201294
9 201270
10 201254
11 201052
12 200142
13 201238
14 201725
15 201224
16 201223
17 201518
18 201714
19 201113
20 201711

About Matthew Gregas

Matthew Gregas is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Physiology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), Heavy Metal Exposure and Toxicity (3 papers), Fetal and Pediatric Neurological Disorders (2 papers), Epilepsy research and treatment (2 papers), Spinal Dysraphism and Malformations (2 papers), Child Nutrition and Feeding Issues (2 papers), Eating Disorders and Behaviors (2 papers) and Tuberous Sclerosis Complex Research (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (390 citations), Equine (34 citations), Safety Research (146 citations), Health, Toxicology and Mutagenesis (193 citations) and Clinical Psychology (190 citations). Matthew Gregas has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Charles A. Nelson, Maitreyi Mazumdar, Janine Bacic, Herbert L. Needleman, Pia Wintermark, David C. Bellinger, Michelle Labrecque, Anne Hansen, Simon K. Warfield and Charles H. Zeanah. Their work appears in journals such as Journal of the American Academy of Child & Adolescent Psychiatry, American Journal of Neuroradiology, Pediatric Neurology, Applied Nursing Research and Epilepsia.

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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