Gemma Codner
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 2
- Genetics 5
- Animal Genetics and Reproduction 2
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Lydia Teboul (11 shared papers)Shirley A. Ellis (3 shared papers)Sara Wells (7 shared papers)Adam Caulder (7 shared papers)Joffrey Mianné (5 shared papers)Marie Hutchison (4 shared papers)J.R. Birch (2 shared papers)Lauren Chessum (2 shared papers)
- Journals
- Human Molecular Genetics (2 papers)Immunogenetics (2 papers)PLoS Genetics (2 papers)Methods (2 papers)Mammalian Genome (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Gemma Codner
19 papers receiving 480 citations
Peers
Comparison fields: 5 of 70
- Aging 41
- Sensory Systems 55
- Business and International Management 22
- Endocrine and Autonomic Systems 50
- Molecular Biology 274
Countries citing papers authored by Gemma Codner
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 101 | |
| 2 | 2019 | 87 | |
| 3 | 2013 | 52 | |
| 4 | 2017 | 51 | |
| 5 | 2008 | 32 | |
| 6 | 2011 | 24 | |
| 7 | 2012 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2011 | 12 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 1 | |
| 20 | 2026 | 0 |
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.