Jonathan David

1.4k citations
51 papers · 1.2k · h-index 21

Impact in

Papers in

Jonathan David

51 papers receiving 1.1k citations

Peers

Jonathan David
Comparison fields: 5 of 124
  • Insect Science 364
  • Cellular and Molecular Neuroscience 455
  • Aquatic Science 50
  • Molecular Biology 450
  • Biotechnology 56
Replace Ying Shi with:
Ying Shi China
Ian R. Smith United Kingdom
Max de Reggi France
B. A. Kilby United Kingdom
Masaaki Uchiyama Japan
Jason M. Tennessen United States
I. D. Bowen United Kingdom
Grzegorz Rosiński Poland
Aya Satoh Japan
Jan Koolman Germany
Jonathan David relative to Ying Shi China Ying Shi's profile →
Citations per field
00.5×1.5×1.9×
Ying Shi · 1×
Citations per year

Countries citing papers authored by Jonathan David

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984120
2 2011101
3 198883
4
The effects of x-irradiation on hematopoietic stem cell compartments in the mouse.
199171
5 202160
6 201856
7 201849
8 200642
9 198537
10 198236
11 201934
12 198234
13 198834
14 198226
15 201525
16 200624
17 198324
18 199324
19 201423
20 200921

About Jonathan David

Jonathan David is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Genetics and Plant Science, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Insect and Pesticide Research (19 papers), Insect and Arachnid Ecology and Behavior (11 papers), Ion channel regulation and function (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Computational Drug Discovery Methods (4 papers), Insects and Parasite Interactions (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Insect Science (364 citations), Cellular and Molecular Neuroscience (455 citations), Aquatic Science (50 citations), Molecular Biology (450 citations) and Biotechnology (56 citations). Jonathan David has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include David B. Sattelle, Robert M. Pitman, R.D. Pinnock, Petar Žuvela, Ming Wah Wong, Gareth Griffiths, Keith A. Wafford, Periklis Kleitou, Demetris Kletou and J.J. Callec. Their work appears in journals such as Journal of Experimental Biology, Journal of Insect Physiology, Archives of Insect Biochemistry and Physiology, Microbes and Infection and Pathogens.

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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