Terence Davis

2.1k citations
58 papers · 1.4k · h-index 22

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence

Papers in

    • DNA Repair Mechanisms 20
    • Genomics and Chromatin Dynamics 7
    • Melanoma and MAPK Pathways 4
    • Telomeres, Telomerase, and Senescence 19

Terence Davis

56 papers receiving 1.4k citations

Peers

Terence Davis
Comparison fields: 5 of 107
  • Aging 141
  • Physiology 386
  • Molecular Biology 828
  • Cell Biology 167
  • Organic Chemistry 251
Replace Kap‐Seok Yang with:
Kap‐Seok Yang South Korea
Jaebong Kim South Korea
Maggi Burton Belgium
Lauren Diebold United States
Erin J. Cram United States
Kui Lin United States
L. Bryan Ray India
Alla Shatrova Russia
Zhihua Liu China
David W. Lincoln United States
Terence Davis relative to Kap‐Seok Yang South Korea Kap‐Seok Yang's profile →
Citations per field
00.5×1.5×2.4×
Kap‐Seok Yang · 1×
Citations per year

Countries citing papers authored by Terence Davis

Since Specialization
Citations

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

Fields of papers citing papers by Terence Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004135
2 2015128
3 2018114
4 199895
5 200670
6 200958
7 200655
8 200747
9 200347
10 200539
11 200737
12 201030
13 200729
14 201328
15 200627
16 200426
17 199525
18 201125
19 198524
20 200823

About Terence Davis

Terence Davis is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Aging, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (20 papers), Telomeres, Telomerase, and Senescence (19 papers), Microtubule and mitosis dynamics (9 papers), Genomics and Chromatin Dynamics (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Neurobiology and Insect Physiology Research (5 papers), Cancer-related Molecular Pathways (5 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Aging (141 citations), Physiology (386 citations), Molecular Biology (828 citations), Cell Biology (167 citations) and Organic Chemistry (251 citations). Terence Davis has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include David Kipling, Mark C. Bagley, Richard Faragher, Michal Rokicki, Dauren Alimbetov, Elizabeth L. Ostler, Caroline S. Widdowson, Bauyrzhan Umbayev, Sholpan Askarova and Christopher J. Jones. Their work appears in journals such as Biogerontology, Hereditas, Annals of the New York Academy of Sciences, Bioorganic & Medicinal Chemistry Letters and Pharmaceuticals.

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