Peter Kay

1.7k total citations
85 papers, 1.3k citations indexed

About

Peter Kay is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Peter Kay has authored 85 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 25 papers in Immunology and 15 papers in Genetics. Recurrent topics in Peter Kay's work include Epigenetics and DNA Methylation (16 papers), Cancer-related gene regulation (12 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Peter Kay is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Cancer-related gene regulation (12 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Peter Kay collaborates with scholars based in Australia, United States and United Kingdom. Peter Kay's co-authors include Roger L. Dawkins, Frank Christiansen, P. J. Zilko, James McCluskey, M.J. Garlepp, Mel Ziman, Peter Hollingsworth, Maria Franchina, V. J. McCann and Paul Cameron and has published in prestigious journals such as The Journal of Experimental Medicine, Annals of the New York Academy of Sciences and CHEST Journal.

In The Last Decade

Peter Kay

85 papers receiving 1.3k citations

Peers

Peter Kay
Comparison fields: 5 of 112
  • Immunology 555
  • Molecular Biology 370
  • Genetics 287
  • Rheumatology 122
  • Epidemiology 118
Replace Naofumi Ishikawa with:
Naofumi Ishikawa Japan
Kathleen A. Donovan United States
E. Levi United States
Harald Fricke Germany
Anne Bordron France
D W Cox Canada
Naoyasu Ueda Japan
Antonello Giovannetti Italy
V. Toder Israel
Akira Yajima Japan
Naofumi Ishikawa Japan View profile →
Citations per field, relative to Peter Kay
Peter Kay · 1×
Citations per year, relative to Peter Kay
Peter Kay · 1×

Countries citing papers authored by Peter Kay

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kay. A scholar is included among the top collaborators of Peter 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 Peter Kay. Peter 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
# Work Indexed citations
1 7
2 29
3
Hypomethylation of cytosine 5-methyltransferase in human neoplasms.
2
4 2
5 6
6 2
7 1
8 30
9 17
10 1
11 26
12 12
13 3
14 67
15 31
16 6
17 22
18 10
19 5
20 1

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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