Jonathan Macgregor Keith

93 papers receiving 1.8k citations

Peers

Jonathan Macgregor Keith
Comparison fields: 5 of 150
  • Microbiology 178
  • Endocrinology 96
  • Biotechnology 110
  • Molecular Biology 860
  • Neurology 89
Replace Carla M. Carvalho with:
Carla M. Carvalho Portugal
Mile Šikić Croatia
David DeCaprio United States
Bernhard Y. Renard Germany
Jijun Tang China
Miten Jain United States
Xiao Song Sun China
Alexandre Dufour France
Hugh E. Olsen United States
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Citations per year

Countries citing papers authored by Jonathan Macgregor Keith

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Macgregor Keith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Macgregor Keith. 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 Jonathan Macgregor Keith. The network helps show where Jonathan Macgregor Keith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986147
2 200094
3 197882
4 201177
5 201872
6 199767
7 199160
8 202158
9 197558
10 198855
11 199352
12 198750
13 200649
14 198745
15 198844
16 200243
17 199337
18 202036
19 200235
20 201334

About Jonathan Macgregor Keith

Jonathan Macgregor Keith is a scholar working on Genetics, Molecular Biology, Microbiology, Ecological Modeling and Nature and Landscape Conservation, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), RNA and protein synthesis mechanisms (8 papers), Bayesian Methods and Mixture Models (7 papers), Bacterial Infections and Vaccines (7 papers), Ecology and Vegetation Dynamics Studies (7 papers), Genetic diversity and population structure (6 papers), Species Distribution and Climate Change (6 papers) and Chromosomal and Genetic Variations (6 papers). The work is most often cited by research in Microbiology (178 citations), Endocrinology (96 citations), Biotechnology (110 citations), Molecular Biology (860 citations) and Neurology (89 citations). Jonathan Macgregor Keith has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dirk P. Kroese, Camille Locht, H. Fraenkel‐Conrat, Bernard A. Moss, Bruce W. Chesebro, Richard Race, Marcia J. Ensinger, Georgy Yu. Sofronov, Kevin S. Marchitto and Witold Cieplak. Their work appears in journals such as PLoS ONE, Infection and Immunity, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

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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