Kez Cleal

473 citations
11 papers · 319 · h-index 8

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Telomeres, Telomerase, and Senescence

Papers in

    • CRISPR and Genetic Engineering 7
    • DNA Repair Mechanisms 4
    • Advanced biosensing and bioanalysis techniques 2
    • RNA Interference and Gene Delivery 2
    • Single-cell and spatial transcriptomics 1
    • Telomeres, Telomerase, and Senescence 8

Kez Cleal

11 papers receiving 317 citations

Peers

Kez Cleal
Comparison fields: 5 of 65
  • Aging 25
  • Physiology 97
  • Microbiology 22
  • Molecular Biology 234
  • Cancer Research 31
Replace Federica Simeoni with:
Federica Simeoni France
Marita Overhoff Germany
Unnati M. Pandya United States
Christophe Thiriet United States
Katherine S. Godin United States
Jennifer Clark United States
Xia Liang China
Misato Yamada Japan
Kez Cleal relative to Federica Simeoni France Federica Simeoni's profile →
Citations per field
00.5×3.1×
Federica Simeoni · 1×
Citations per year

Countries citing papers authored by Kez Cleal

Since Specialization
Citations

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

Fields of papers citing papers by Kez Cleal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Kez Cleal, 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 Kez Cleal Line = papers co-authored together Kez Cleal links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201385
2 201851
3 201942
4 202032
5 202228
6 201427
7 201822
8 202116
9 20227
10 20215
11 20224

About Kez Cleal

Kez Cleal is a scholar working on Molecular Biology, Physiology, Plant Science, Artificial Intelligence and Infectious Diseases, having authored 11 papers that have together received 319 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), CRISPR and Genetic Engineering (7 papers), DNA Repair Mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Chromosomal and Genetic Variations (2 papers), RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Aging (25 citations), Physiology (97 citations), Microbiology (22 citations), Molecular Biology (234 citations) and Cancer Research (31 citations). Kez Cleal has collaborated with scholars based in United Kingdom, United States and Egypt. Frequent co-authors include Duncan M. Baird, Arwyn T. Jones, Peter Watson, Lin He, Kevin Norris, Eric A. Hendrickson, Julia W. Grimstead, Rhiannon E. Jones, Kate Liddiard and Edward J. Sayers. Their work appears in journals such as Nucleic Acids Research, PLoS Genetics, Genome Research, Current Pharmaceutical Design and Human 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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