Gemma K. Kinsella
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- Receptor Mechanisms and Signaling 15
- Enzyme Catalysis and Immobilization 11
- Microbial Metabolic Engineering and Bioproduction 6
- Protein purification and stability 5
- Ion channel regulation and function 4
- Biotechnology top 10%
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- Computational Drug Discovery Methods 4
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- Neuroscience and Neuropharmacology Research 6
- Neuropeptides and Animal Physiology 4
- Co-authors
- Barry J. RyanGary T. HenehanPriyanka PriyankaIsabel RozasGraeme W. WatsonJohn B. C. FindlayJames F. CurtinAhmed Al-Sabi
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Molecular Biology (1 paper)Chemical Communications (1 paper)
- Partner nations
- IrelandUnited KingdomItaly
In The Last Decade
Gemma K. Kinsella
57 papers receiving 762 citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 440
- Biotechnology 51
- Biomaterials 66
- Pollution 55
- Computational Theory and Mathematics 63
Countries citing papers authored by Gemma K. Kinsella
This map shows the geographic impact of Gemma K. Kinsella'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 K. Kinsella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma K. Kinsella more than expected).
Fields of papers citing papers by Gemma K. Kinsella
This network shows the impact of papers produced by Gemma K. Kinsella. 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 K. Kinsella. The network helps show where Gemma K. Kinsella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gemma K. Kinsella, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 74 | |
| 11 | 2018 | 46 | |
| 12 | 2016 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 19 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 9 | |
| 17 | 2013 | 14 | |
| 18 | 2007 | 16 | |
| 19 | 2005 | 3 | |
| 20 | Computational study of the α1A adrenoceptor | 2004 | 1 |
About Gemma K. Kinsella
Gemma K. Kinsella is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Filtration and Separation, having authored 62 papers that have together received 775 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Enzyme Catalysis and Immobilization (11 papers), Neuroscience and Neuropharmacology Research (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Protein purification and stability (5 papers), Neuropeptides and Animal Physiology (4 papers), Computational Drug Discovery Methods (4 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Molecular Biology (440 citations), Biotechnology (51 citations) and Biomaterials (66 citations). Gemma K. Kinsella has collaborated with scholars based in Ireland, United Kingdom and Italy. Frequent co-authors include Barry J. Ryan, Gary T. Henehan, Priyanka Priyanka, Isabel Rozas, Graeme W. Watson, John B. C. Findlay, James F. Curtin, Ahmed Al-Sabi, John C. Stephens and David G. Lloyd. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Molecular Biology and Chemical Communications.
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.