Matthew S. Tremblay

2.4k citations
28 papers · 1.8k indexed · 1 hit paper · h-index 18
Topics
Pancreatic function and diabetes (6 papers)Lanthanide and Transition Metal Complexes (5 papers)Drug Transport and Resistance Mechanisms (4 papers)

In The Last Decade

Matthew S. Tremblay

28 papers receiving 1.7k citations

Hit Papers

A Stem Cell–Based Approach to Cartilage Repair20122026201620212012200400600

Peers

Matthew S. Tremblay
Comparison fields: 5 of 115
  • Molecular Biology 564
  • Rheumatology 404
  • Surgery 369
  • Materials Chemistry 344
  • Oncology 194
Replace Chong-xian Pan with:
Chong-xian Pan United States
Yojiro Maehata Japan
Wanhai Xu China
Takashi Mori Japan
M. Margarida Bernardo United States
Joseph M. Backer United States
Di Liu China
Susanne Fuessel Germany
Luigi Anastasia Italy
Daikichi Fukushima Japan
Matthew S. Tremblay relative to Chong-xian Pan United States Chong-xian Pan's profile →
Citations per field
00.5×6.6×
Chong-xian Pan · 1×
Citations per year

Countries citing papers authored by Matthew S. Tremblay

Since Specialization
Citations

This map shows the geographic impact of Matthew S. 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 S. 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 S. Tremblay more than expected).

Fields of papers citing papers by Matthew S. Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Tremblay

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Tremblay. A scholar is included among the top collaborators of Matthew S. Tremblay 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 S. Tremblay. Matthew S. Tremblay 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 11
2 19
3 9
4 12
5 9
6 13
7 86
8 125
9 8
10 1
11 21
12 84
13 51
14
A Stem Cell–Based Approach to Cartilage Repairbreakdown →
645
15 17
16 55
17 69
18 53
19 6
20 27

About Matthew S. Tremblay

Matthew S. Tremblay is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Lanthanide and Transition Metal Complexes (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Rheumatology (404 citations), Urology (93 citations) and Genetics (127 citations). Matthew S. Tremblay has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Dalibor Sameš, Peter G. Schultz, Marlin Halim, Xu Wu, Charles Y. Cho, Kristen Johnson, Jianing Wang, Shoutian Zhu, Alana Althage and Joshua N. Payette. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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