Chris Kay

4.4k citations
70 papers · 3.0k · 1 hit paper · h-index 25

Impact in

Papers in

Chris Kay

68 papers receiving 3.0k citations

Chris Kay's Hit Papers

Huntington disease 2015 · 1.2k citations
1.2k0+3+7Years since publication2505007501000

Peers

Chris Kay
Comparison fields: 5 of 133
  • Cellular and Molecular Neuroscience 1.5k
  • Neurology 495
  • Molecular Biology 1.7k
  • Biological Psychiatry 35
  • Aging 27
Replace Elizabeth A. Jonas with:
Elizabeth A. Jonas United States
Gráinne S. Gorman United Kingdom
Carsten Theiß Germany
Rosalba Carrozzo Italy
Lung‐Sen Kao Taiwan
Katharina Tepper Germany
Makoto Yanagisawa Japan
Paul J. Lockhart Australia
Patricio Fernández‐Silva Spain
Michael Müller Germany
Chris Kay relative to Elizabeth A. Jonas United States Elizabeth A. Jonas's profile →
Citations per field
00.5×1.5×
Elizabeth A. Jonas · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Huntington disease
Hit paper breakdown →
20151162
2 2000139
3 2019135
4 2015117
5 199181
6 201678
7 200674
8 201570
9 201669
10 201361
11 201857
12 201749
13 201346
14 201444
15 198836
16 202036
17 201335
18 198635
19 201834
20 198533

About Chris Kay

Chris Kay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Public Health, Environmental and Occupational Health and Cell Biology, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (24 papers), Mitochondrial Function and Pathology (15 papers), Photosynthetic Processes and Mechanisms (11 papers), Trypanosoma species research and implications (9 papers), Insect symbiosis and bacterial influences (6 papers), Neurological disorders and treatments (5 papers), Muscle Physiology and Disorders (5 papers) and Research on Leishmaniasis Studies (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Neurology (495 citations), Molecular Biology (1.7k citations), Biological Psychiatry (35 citations) and Aging (27 citations). Chris Kay has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael R. Hayden, Blair R. Leavitt, Christopher A. Ross, Rachael I. Scahill, Edward J. Wild, Sarah J. Tabrizi, Martha Nance, Gillian P. Bates, James F. Gusella and Ronald Wetzel. Their work appears in journals such as Biochemistry, Biochemical Journal, Journal of Biological Chemistry, Genetics in Medicine and FEBS Letters.

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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