Kevin J. Embrey

2.1k total citations
29 papers, 752 citations indexed

About

Kevin J. Embrey is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Kevin J. Embrey has authored 29 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kevin J. Embrey's work include DNA and Nucleic Acid Chemistry (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Protein Structure and Dynamics (5 papers). Kevin J. Embrey is often cited by papers focused on DNA and Nucleic Acid Chemistry (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Protein Structure and Dynamics (5 papers). Kevin J. Embrey collaborates with scholars based in United Kingdom, Australia and United States. Kevin J. Embrey's co-authors include Mark S. Searle, David J. Craik, Alexander L. Breeze, J. Breed, Geoffrey A. Holdgate, Alexander P. Golovanov, Alexander G. Milbradt, Jon Read, Julie A. Tucker and R. Overman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kevin J. Embrey

28 papers receiving 729 citations

Peers

Kevin J. Embrey
Comparison fields: 5 of 77
  • Molecular Biology 646
  • Oncology 148
  • Organic Chemistry 118
  • Computational Theory and Mathematics 83
  • Materials Chemistry 69
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Citations per field, relative to Kevin J. Embrey
Kevin J. Embrey · 1×
Citations per year, relative to Kevin J. Embrey
Kevin J. Embrey · 1×

Countries citing papers authored by Kevin J. Embrey

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Embrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Embrey. 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 Kevin J. Embrey. The network helps show where Kevin J. Embrey may publish in the future.

Co-authorship network of co-authors of Kevin J. Embrey

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Embrey. A scholar is included among the top collaborators of Kevin J. Embrey 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 Kevin J. Embrey. Kevin J. Embrey 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 0
2 7
3 8
4 46
5 15
6 18
7 21
8 28
9 19
10 3
11 16
12 33
13 2
14 22
15 60
16 6
17 3
18
A homology model of the three-dimensional structure of human O6-alkylguanine-DNA alkyltransferase based on the crystal structure of the C-terminal domain of the Ada protein from Escherichia coli.
13
19 5
20 95

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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