Gemma L. Kay
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 5
- Clinical Biochemistry top 5%
- Endocrinology top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 4
- Epidemiology top 10%
- Mycobacterium research and diagnosis 5
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- Gut microbiota and health 10
- Genomics and Phylogenetic Studies 4
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- Bacteriophages and microbial interactions 3
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- Paleopathology and ancient diseases 3
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- Salmonella and Campylobacter epidemiology 3
- Co-authors
- Mark J. PallenJohn WainJustin O’GradyRichard M. LeggettHollian RichardsonThemoula CharalampousChristopher JeanesAlp Aydin
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Gemma L. Kay
32 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Medicine 140
- Clinical Biochemistry 133
- Endocrinology 79
- Infectious Diseases 281
- Epidemiology 342
Countries citing papers authored by Gemma L. Kay
This map shows the geographic impact of Gemma L. Kay'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 L. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma L. Kay more than expected).
Fields of papers citing papers by Gemma L. Kay
This network shows the impact of papers produced by Gemma L. Kay. 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 L. Kay. The network helps show where Gemma L. Kay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gemma L. Kay, 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 | 2024 | 6 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 36 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 30 | |
| 13 | Nanopore metagenomics enables rapid clinical diagnosis of bacterial lower respiratory infectionbreakdown → | 2019 | 420 |
| 14 | 2018 | 8 | |
| 15 | 2017 | 26 | |
| 16 | 2017 | 8 | |
| 17 | 2015 | 122 | |
| 18 | 2015 | 83 | |
| 19 | 2014 | 5 | |
| 20 | 2009 | 16 |
About Gemma L. Kay
Gemma L. Kay is a scholar working on Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Antibiotic Resistance in Bacteria (5 papers), Mycobacterium research and diagnosis (5 papers), Tuberculosis Research and Epidemiology (4 papers), Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (3 papers), Paleopathology and ancient diseases (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Molecular Medicine (140 citations), Clinical Biochemistry (133 citations) and Endocrinology (79 citations). Gemma L. Kay has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Mark J. Pallen, John Wain, Justin O’Grady, Richard M. Leggett, Hollian Richardson, Themoula Charalampous, Christopher Jeanes, Alp Aydin, Daniel J. Turner and David M. Livermore. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Nature Biotechnology.
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.