Matthew Tremblay

453 citations
12 papers · 323 · h-index 7

Impact in

    • Multiple Sclerosis Research Studies
    • Peripheral Neuropathies and Disorders
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Matthew Tremblay

11 papers receiving 318 citations

Peers

Matthew Tremblay
Comparison fields: 5 of 65
  • Pathology and Forensic Medicine 109
  • Neurology 81
  • Hematology 47
  • Neurology 33
  • Physiology 87
Replace Gordana Tončev with:
Gordana Tončev Serbia
Constantinos Sfagos Greece
Young Nam Kwon South Korea
Petra Lelková Czechia
Eleonora Mauri Italy
Jorge Millán‐Pascual Spain
Е. И. Гусев Russia
Anna Jeong United States
Walter Borsini Italy
L. Manneschi Italy
Matthew Tremblay relative to Gordana Tončev Serbia Gordana Tončev's profile →
Citations per field
00.5×3.9×
Gordana Tončev · 1×
Citations per year

Countries citing papers authored by Matthew Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016106
2 201085
3 201155
4 202029
5 201520
6 201712
7 20238
8 20233
9 20233
10 20171
11 20171
12 20200

About Matthew Tremblay

Matthew Tremblay is a scholar working on Pathology and Forensic Medicine, Infectious Diseases, Molecular Biology, Hematology and Neurology, having authored 12 papers that have together received 323 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Polyomavirus and related diseases (2 papers), Immunotherapy and Immune Responses (2 papers), Metabolism and Genetic Disorders (1 paper), Digital Imaging for Blood Diseases (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (109 citations), Neurology (81 citations), Hematology (47 citations), Neurology (33 citations) and Physiology (87 citations). Matthew Tremblay has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Christopher M. Acker, Peter Davies, Sarah D. Schlatterer, Ilya Kister, Jeffrey M. Gelfand, Jennifer Graves, Carolyn Bevan, Riley Bove, Mark J. Pletcher and Elizabeth Crabtree‐Hartman. Their work appears in journals such as Neurology, Journal of Alzheimer s Disease, Neurogenetics, Vaccines and Journal of Neurology.

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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