Jonathan Cook

23 papers receiving 767 citations

Peers

Jonathan Cook
Comparison fields: 5 of 72
  • Biotechnology 235
  • Immunology 349
  • Endocrinology 51
  • Physiology 38
  • Cell Biology 127
Replace Martin Bernhard Dorner with:
Martin Bernhard Dorner Germany
Pablo de Felipe Fernández United Kingdom
Ann Schlesinger United States
Garry A. Luke United Kingdom
Lucien Cabanié France
Hang Su China
Ferdinand C. O. Los United States
Yunkun Dang China
Rossella Pellizzari Italy
Samuel Liégeois France
Jonathan Cook relative to Martin Bernhard Dorner Germany Martin Bernhard Dorner's profile →
Citations per field
00.5×2×3×4×4.8×
Martin Bernhard Dorner · 1×
Citations per year

Countries citing papers authored by Jonathan Cook

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004129
2 2002115
3 200866
4 201466
5 200945
6 202036
7 200634
8 201532
9 202030
10 200029
11 201128
12 199323
13 199322
14 200422
15 201921
16 201720
17 202317
18 201615
19 201314
20 201911

About Jonathan Cook

Jonathan Cook is a scholar working on Immunology, Biotechnology, Endocrine and Autonomic Systems, Physiology and Molecular Biology, having authored 23 papers that have together received 778 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (9 papers), Transgenic Plants and Applications (6 papers), Connexins and lens biology (4 papers), Neuroscience of respiration and sleep (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (3 papers), Escherichia coli research studies (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biotechnology (235 citations), Immunology (349 citations), Endocrinology (51 citations), Physiology (38 citations) and Cell Biology (127 citations). Jonathan Cook has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Lynne Margaret Roberts, Janet M. Lord, Daniel C. Smith, Robert A. Spooner, David John Evans, Nicholas Dale, Philip J. Day, Kym Lowry, Andrew Woodman and Peter Watson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Biochemical Journal, Communications Biology and Journal of Biological Chemistry.

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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