Daniel J. McKay

5.3k total citations
84 papers, 3.2k citations indexed

About

Daniel J. McKay is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Daniel J. McKay has authored 84 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 15 papers in Plant Science and 11 papers in Genetics. Recurrent topics in Daniel J. McKay's work include Genomics and Chromatin Dynamics (35 papers), Epigenetics and DNA Methylation (12 papers) and Chromosomal and Genetic Variations (10 papers). Daniel J. McKay is often cited by papers focused on Genomics and Chromatin Dynamics (35 papers), Epigenetics and DNA Methylation (12 papers) and Chromosomal and Genetic Variations (10 papers). Daniel J. McKay collaborates with scholars based in United States, Canada and Australia. Daniel J. McKay's co-authors include Richard S. Mann, James S. Wright, Jason D. Lieb, Jeffrey W. Pollard, Ming Yang, Claire E. Lewis, David Carpenter, K. U. Ingold, Robert J. Duronio and Christopher M. Uyehara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Daniel J. McKay

81 papers receiving 3.1k citations

Peers

Daniel J. McKay
Comparison fields: 5 of 133
  • Molecular Biology 2.0k
  • Organic Chemistry 477
  • Oncology 441
  • Immunology 376
  • Plant Science 334
Replace Louise Fairall with:
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Rüdiger Woscholski United Kingdom
Jun‐ichi Yamaguchi Japan
Lixin Lang United States
Min Gao China
Aleksandra Filipovska Australia
Mark R. Bray Canada
Dianne Watters Australia
Bernhard Schmidt Germany
Louise Fairall United Kingdom View profile →
Citations per field, relative to Daniel J. McKay
Daniel J. McKay · 1×
Citations per year, relative to Daniel J. McKay
Daniel J. McKay · 1×

Countries citing papers authored by Daniel J. McKay

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. McKay

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. McKay. A scholar is included among the top collaborators of Daniel J. McKay 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 Daniel J. McKay. Daniel J. McKay 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 4
2 5
3 1
4 3
5 2
6 11
7 7
8 17
9 9
10 7
11 25
12 64
13 9
14 31
15 87
16 37
17 18
18 35
19 10
20 141

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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