Chris Kay

4.3k total citations · 1 hit paper
66 papers, 2.8k citations indexed

About

Chris Kay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Chris Kay has authored 66 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 25 papers in Cellular and Molecular Neuroscience and 9 papers in Neurology. Recurrent topics in Chris Kay's work include Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (17 papers) and Photosynthetic Processes and Mechanisms (10 papers). Chris Kay is often cited by papers focused on Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (17 papers) and Photosynthetic Processes and Mechanisms (10 papers). Chris Kay collaborates with scholars based in United States, United Kingdom and Canada. Chris Kay's co-authors include Michael R. Hayden, Blair R. Leavitt, Christopher A. Ross, Gillian P. Bates, James F. Gusella, Sarah J. Tabrizi, Edward J. Wild, Martha Nance, Rachael I. Scahill and Ronald Wetzel and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Chris Kay

63 papers receiving 2.7k citations

Hit Papers

Huntington disease 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Kay United States 24 1.8k 1.4k 591 233 191 66 2.8k
Francisca Díaz United States 34 2.9k 1.6× 713 0.5× 243 0.4× 239 1.0× 699 3.7× 63 4.4k
Rosalba Carrozzo Italy 38 4.0k 2.3× 627 0.4× 209 0.4× 484 2.1× 418 2.2× 143 5.3k
Makoto Yanagisawa Japan 31 3.2k 1.8× 586 0.4× 249 0.4× 411 1.8× 485 2.5× 57 4.8k
Lars Eide Norway 25 2.4k 1.4× 1.1k 0.8× 101 0.2× 99 0.4× 300 1.6× 65 3.5k
Johan Lundkvist Sweden 29 1.6k 0.9× 463 0.3× 396 0.7× 228 1.0× 830 4.3× 51 3.4k
Kathryn J. Hill United States 19 1.6k 0.9× 549 0.4× 1.1k 1.9× 845 3.6× 613 3.2× 26 3.0k
Paul J. Lockhart Australia 34 2.3k 1.3× 1.2k 0.8× 1.2k 2.0× 477 2.0× 585 3.1× 126 5.2k
Martin Fuhrmann Germany 33 1.4k 0.8× 1.1k 0.8× 124 0.2× 349 1.5× 1.2k 6.3× 58 4.3k
Yoshihiro Matsuda Japan 25 1.2k 0.7× 673 0.5× 115 0.2× 171 0.7× 299 1.6× 99 1.9k
Lawrence J. Hayward United States 36 2.4k 1.4× 777 0.5× 2.4k 4.1× 356 1.5× 733 3.8× 52 4.5k

Countries citing papers authored by Chris Kay

Since Specialization
Citations

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

Fields of papers citing papers by Chris Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Kay. A scholar is included among the top collaborators of Chris Kay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Kay. Chris Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kay, Chris, Anja Spang, Gergely J. Szöllősi, et al.. (2025). Dated gene duplications elucidate the evolutionary assembly of eukaryotes. Nature. 650(8100). 129–140.
3.
Donoghue, Philip C. J., Chris Kay, Anja Spang, et al.. (2023). Defining eukaryotes to dissect eukaryogenesis. Current Biology. 33(17). R919–R929. 15 indexed citations
4.
Kay, Chris, Lori Peacock, Tom A. Williams, & Wendy Gibson. (2022). Signatures of hybridization in Trypanosoma brucei. PLoS Pathogens. 18(2). e1010300–e1010300. 6 indexed citations
5.
Peacock, Lori, et al.. (2021). Sequential production of gametes during meiosis in trypanosomes. Communications Biology. 4(1). 555–555. 17 indexed citations
6.
Xu, Xiaohong, Bernice Sim, Carola I. Radulescu, et al.. (2020). pS421 huntingtin modulates mitochondrial phenotypes and confers neuroprotection in an HD hiPSC model. Cell Death and Disease. 11(9). 809–809. 11 indexed citations
7.
Kay, Chris, Tom A. Williams, & Wendy Gibson. (2020). Mitochondrial DNAs provide insight into trypanosome phylogeny and molecular evolution. BMC Evolutionary Biology. 20(1). 161–161. 13 indexed citations
8.
Squitieri, Ferdinando, Tommaso Mazza, Alessandro De Luca, et al.. (2020). Tracing the mutated HTT and haplotype of the African ancestor who spread Huntington disease into the Middle East. Genetics in Medicine. 22(11). 1903–1908. 8 indexed citations
9.
Wright, Galen E.B., Jennifer A. Collins, Chris Kay, et al.. (2019). Length of Uninterrupted CAG, Independent of Polyglutamine Size, Results in Increased Somatic Instability, Hastening Onset of Huntington Disease. The American Journal of Human Genetics. 104(6). 1116–1126. 120 indexed citations
10.
Peacock, Lori, Chris Kay, Mick Bailey, & Wendy Gibson. (2018). Shape-shifting trypanosomes: Flagellar shortening followed by asymmetric division in Trypanosoma congolense from the tsetse proventriculus. PLoS Pathogens. 14(5). e1007043–e1007043. 17 indexed citations
11.
Gibson, Wendy, Chris Kay, & Lori Peacock. (2017). Trypanosoma congolense. Advances in Parasitology. 98. 283–309. 10 indexed citations
12.
Kay, Chris, Jennifer A. Collins, Niels H. Skotte, et al.. (2015). Huntingtin Haplotypes Provide Prioritized Target Panels for Allele-specific Silencing in Huntington Disease Patients of European Ancestry. Molecular Therapy. 23(11). 1759–1771. 64 indexed citations
13.
Bates, Gillian P., James F. Gusella, Michael R. Hayden, et al.. (2015). Huntington disease. Nature Reviews Disease Primers. 1(1). 15005–15005. 1082 indexed citations breakdown →
14.
Semaka, Alicia, et al.. (2013). High frequency of intermediate alleles on huntington disease‐associated haplotypes in British Columbia's general population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(8). 864–871. 34 indexed citations
15.
Kay, Chris, et al.. (2012). The ATP-Binding Cassette Proteins of the Deep-Branching Protozoan Parasite Trichomonas vaginalis. PLoS neglected tropical diseases. 6(6). e1693–e1693. 7 indexed citations
16.
Kay, Chris, Karen Lawler, Tim Self, Sabrina D. Dyall, & Ian D. Kerr. (2012). Localisation of a family of complex‐forming β‐barrels in the T. vaginalis hydrogenosomal membrane. FEBS Letters. 586(22). 4038–4045. 4 indexed citations
17.
Kay, Chris. (1997). Mechanochemical mechanism for peptidyl free radical generation by amyloid fibrils. FEBS Letters. 403(3). 230–235. 25 indexed citations
18.
Kay, Chris, et al.. (1996). Superoxide Production during Reduction of Molecular Oxygen by Assimilatory Nitrate Reductase. Archives of Biochemistry and Biophysics. 326(2). 227–232. 22 indexed citations
19.
Kay, Chris & Michael Barber. (1990). Measurement of oxidation-reduction midpoint potentials by room temperature electron paramagnetic resonance potentiometry. Analytical Biochemistry. 184(1). 11–15. 9 indexed citations
20.
Kay, Chris, Michael Barber, & Larry P. Solomonson. (1988). CD and potentiometry of FAD, heme and molybdenum-pterin prosthetic groups of assimilatory nitrate reductase. Biochemistry. 27(16). 6142–6149. 34 indexed citations

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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