Mathew J. Thayer

4.8k citations
49 papers · 3.9k indexed · 2 hit papers · h-index 29
    • Genomics and Chromatin Dynamics 16
    • DNA Repair Mechanisms 12
    • RNA Research and Splicing 12
    • Muscle Physiology and Disorders 9
    • RNA modifications and cancer 8
    • Epigenetics and DNA Methylation 6
  • Aging top 5%
  • Genetics top 5%
    • Microtubule and mitosis dynamics 6
    • Cancer-related Molecular Pathways 8

Mathew J. Thayer

47 papers receiving 3.9k citations

Hit Papers

Activation of muscle-specific genes in pigment, nerve, fa...8351988202620002013250500750

Peers

Mathew J. Thayer
Comparison fields: 5 of 105
  • Molecular Biology 3.5k
  • Aging 65
  • Cancer Research 375
  • Genetics 624
  • Cell Biology 294
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Petra Moerer Netherlands
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Mathew J. Thayer relative to Yasuo Hamamori United States Yasuo Hamamori's profile →
Citations per field
00.5×1.5×1.8×
Yasuo Hamamori · 1×
Citations per year

Countries citing papers authored by Mathew J. Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Mathew J. Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew J. Thayer. 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 Mathew J. Thayer. The network helps show where Mathew J. Thayer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 202022
4 201532
5 201334
6 20129
7 201142
8 200737
9 200539
10 200534
11 200431
12 200324
13 200026
14 200097
15 19993
16 19967
17 199061
18 199094
19 1989253
20 1989428

About Mathew J. Thayer

Mathew J. Thayer is a scholar working on Molecular Biology, Cell Biology and Cancer Research, having authored 49 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), DNA Repair Mechanisms (12 papers), RNA Research and Splicing (12 papers), Muscle Physiology and Disorders (9 papers), RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (6 papers) and Microtubule and mitosis dynamics (6 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Aging (65 citations) and Cancer Research (375 citations). Mathew J. Thayer has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Stephen J. Tapscott, Andrew B. Lassar, Harold Weintraub, Robert L. Davis, H Weintraub, Mohammed Adam, A. Dusty Miller, Leslie Smith, Woodring E. Wright and Nathan Donley. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Cell, Journal of Biological Chemistry and Human Molecular Genetics.

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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