Chris Kay

4.3k citations
66 papers · 2.8k indexed · 1 hit paper · h-index 24

Impact in

Papers in

Chris Kay

63 papers receiving 2.7k citations

Hit Papers

Huntington disease 2015 · 1.1k citations
1.1k20152026201820222505007501000

Peers

Chris Kay
Comparison fields: 5 of 133
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 591
  • Molecular Biology 1.8k
  • Aging 27
  • Cell Biology 233
Replace Rosalba Carrozzo with:
Rosalba Carrozzo Italy
Lung‐Sen Kao Taiwan
Paul J. Lockhart Australia
Katharina Tepper Germany
Manju A. Kurian United Kingdom
Makoto Yanagisawa Japan
Masaru Kurosawa Japan
May Khanna United States
Àngels García‐Cazorla Spain
Matthew F. Peters United States
Chris Kay relative to Rosalba Carrozzo Italy Rosalba Carrozzo's profile →
Citations per field
00.5×2.8×
Rosalba Carrozzo · 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-authorship network

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
#Work
1 20250
2 20240
3 202315
4 20226
5 202117
6 202011
7 202013
8 20208
9 2019120
10 201817
11 201710
12 201564
13
Huntington disease
Hit paper breakdown →
20151082
14 201334
15 20127
16 20124
17 199725
18 199622
19 19909
20 198834

About Chris Kay

Chris Kay is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Electrochemistry, Insect Science and Neurology, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (17 papers), Photosynthetic Processes and Mechanisms (10 papers), Trypanosoma species research and implications (9 papers), Neurological disorders and treatments (8 papers), Insect symbiosis and bacterial influences (8 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 (1.4k citations), Neurology (591 citations), Molecular Biology (1.8k citations), Aging (27 citations) and Cell Biology (233 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, Gillian P. Bates, James F. Gusella, Sarah J. Tabrizi, Edward J. Wild, Martha Nance, Rachael I. Scahill 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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