Gemma Codner

2.5k citations
20 papers · 484 · h-index 11

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Hearing, Cochlea, Tinnitus, Genetics

Papers in

    • CRISPR and Genetic Engineering 8
    • Pluripotent Stem Cells Research 2
    • Animal Genetics and Reproduction 2
    • Genetic and phenotypic traits in livestock 2

Gemma Codner

19 papers receiving 480 citations

Peers

Gemma Codner
Comparison fields: 5 of 70
  • Aging 41
  • Sensory Systems 55
  • Business and International Management 22
  • Endocrine and Autonomic Systems 50
  • Molecular Biology 274
Replace Marie‐Jeanne Arguel with:
Marie‐Jeanne Arguel France
Charlotte Tibbit United Kingdom
Jennifer Nguyen United States
Elvis Huarcaya Najarro United States
U. Philipp Germany
Toh Hean Ch’ng United States
David G. Whittingham United Kingdom
Jean‐Pierre Ozil France
Yufang Chao United States
Qiang Jiang China
Gemma Codner relative to Marie‐Jeanne Arguel France Marie‐Jeanne Arguel's profile →
Citations per field
00.5×3.7×
Marie‐Jeanne Arguel · 1×
Citations per year

Countries citing papers authored by Gemma Codner

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Codner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016101
2 201987
3 201352
4 201751
5 200832
6 201124
7 201221
8 201620
9 202016
10 202113
11 201112
12 201910
13 20219
14 20239
15 20228
16 20228
17 20196
18 20244
19 20231
20 20260

About Gemma Codner

Gemma Codner is a scholar working on Molecular Biology, Genetics, Immunology, Agronomy and Crop Science and Aging, having authored 20 papers that have together received 484 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Aging (41 citations), Sensory Systems (55 citations), Business and International Management (22 citations), Endocrine and Autonomic Systems (50 citations) and Molecular Biology (274 citations). Gemma Codner has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Lydia Teboul, Shirley A. Ellis, Sara Wells, Adam Caulder, Joffrey Mianné, Marie Hutchison, J.R. Birch, Lauren Chessum, Steve D. M. Brown and Michelle M. Simon. Their work appears in journals such as Human Molecular Genetics, Immunogenetics, PLoS Genetics, Methods and Mammalian Genome.

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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