Matthew J. Gamble

3.3k citations
27 papers · 2.7k indexed · 1 hit paper · h-index 22

Matthew J. Gamble

27 papers receiving 2.7k citations

Hit Papers

Ligand-dependent transcription activation by nuclear rece...19992026200820171999100200300400500

Peers

Matthew J. Gamble
Comparison fields: 5 of 91
  • Molecular Biology 2.0k
  • Oncology 732
  • Genetics 504
  • Immunology 247
  • Pathology and Forensic Medicine 232
Replace Jörg Vervoorts with:
Jörg Vervoorts Germany
Brooke M. Emerling United States
Nada Y. Kalaany United States
Qihuang Jin China
Paul Smith United Kingdom
Jingxiang Huang Singapore
Jean‐Philippe Gagné Canada
Yonghua Yang United States
Qingyuan Ge United States
Denis Biard France
Matthew J. Gamble relative to Jörg Vervoorts Germany Jörg Vervoorts's profile →
Citations per field
00.5×6.8×
Jörg Vervoorts · 1×
Citations per year

Countries citing papers authored by Matthew J. Gamble

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Gamble

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Gamble. A scholar is included among the top collaborators of Matthew J. Gamble 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 J. Gamble. Matthew J. Gamble 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 1
2 1
3 53
4 40
5 26
6 21
7 20
8 26
9 92
10 88
11 92
12 73
13 94
14 196
15 136
16 84
17 59
18 90
19 158
20
Ligand-dependent transcription activation by nuclear receptors requires the DRIP complexbreakdown →
591

About Matthew J. Gamble

Matthew J. Gamble is a scholar working on Molecular Biology, Oncology and Geriatrics and Gerontology, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Geriatrics and Gerontology (197 citations), Molecular Biology (2.0k citations) and Physiology (123 citations). Matthew J. Gamble has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include W. Lee Kraus, Leonard P. Freedman, Raga Krishnakumar, Kristine M. Frizzell, Christophe Rachez, Hediye Erdjument‐Bromage, Paul Tempst, Penelope D. Ruiz, Hongshan Chen and Anders M. Näär. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026