David Prince

1.6k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

David Prince is a scholar working on Plant Science, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Prince has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Insect Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Prince's work include Plant-Microbe Interactions and Immunity (4 papers), Plant and animal studies (4 papers) and Plant Pathogens and Resistance (4 papers). David Prince is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Plant and animal studies (4 papers) and Plant Pathogens and Resistance (4 papers). David Prince collaborates with scholars based in United Kingdom, United States and Germany. David Prince's co-authors include Saskia A. Hogenhout, Marco Pitino, Massimo E. Maffei, Jorunn I. B. Bos, Joe Win, Douglas H. Ubelaker, Cyril Zipfel, Claire Drurey, Kate Bennett and Lars Chıttka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and PLANT PHYSIOLOGY.

In The Last Decade

David Prince

22 papers receiving 1.1k citations

Hit Papers

A Functional Genomics Approach Identifies Candidate Effec... 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Prince United Kingdom 12 584 395 348 167 136 23 1.1k
Biljana Stojković Serbia 14 129 0.2× 146 0.4× 119 0.3× 165 1.0× 26 0.2× 51 548
Wan Zhao China 20 635 1.1× 249 0.6× 428 1.2× 37 0.2× 28 0.2× 60 1.0k
Kusum Singh India 16 66 0.1× 114 0.3× 478 1.4× 81 0.5× 229 1.7× 38 895
Ling Yu China 22 551 0.9× 13 0.0× 464 1.3× 28 0.2× 126 0.9× 44 1.3k
Deborah Barton Australia 19 443 0.8× 69 0.2× 345 1.0× 81 0.5× 43 0.3× 34 806
Kazuya Kobayashi Japan 18 91 0.2× 222 0.6× 168 0.5× 367 2.2× 135 1.0× 63 898
P Brunet United Kingdom 18 109 0.2× 379 1.0× 212 0.6× 154 0.9× 329 2.4× 40 1.0k
Hao Guo China 20 86 0.1× 467 1.2× 307 0.9× 98 0.6× 526 3.9× 64 1.1k
Alekseev Aa Russia 11 116 0.2× 287 0.7× 123 0.4× 70 0.4× 246 1.8× 54 557
Xiaomu Qiao China 11 102 0.2× 213 0.5× 161 0.5× 39 0.2× 79 0.6× 19 388

Countries citing papers authored by David Prince

Since Specialization
Citations

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

Fields of papers citing papers by David Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Prince

This figure shows the co-authorship network connecting the top 25 collaborators of David Prince. A scholar is included among the top collaborators of David Prince 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 David Prince. David Prince 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
1.
Prince, David, et al.. (2024). Mechanistic analysis for identifying the anti-diabetic effects of Cholic acid-loaded chitosan nanoparticles: An in vitro approach. Journal of King Saud University - Science. 36(10). 103480–103480. 1 indexed citations
2.
Prince, David, et al.. (2024). Molecular Basis of Eusocial Complexity: The Case of Worker Reproductivity in Bees. Genome Biology and Evolution. 16(12).
3.
Prince, David, et al.. (2023). Detection of miRNAs. Methods in molecular biology. 2630. 1–11. 10 indexed citations
4.
Collins, David H., et al.. (2023). Costs of reproduction are present but latent in eusocial bumblebee queens. BMC Biology. 21(1). 153–153. 8 indexed citations
5.
Collins, David H., et al.. (2023). Developmental Diet Alters the Fecundity–Longevity Relationship and Age-Related Gene Expression in Drosophila melanogaster. The Journals of Gerontology Series A. 78(12). 2240–2250. 5 indexed citations
6.
Collins, David H., Michael G. Smith, David Prince, et al.. (2020). Gene expression during larval caste determination and differentiation in intermediately eusocial bumblebees, and a comparative analysis with advanced eusocial honeybees. Molecular Ecology. 30(3). 718–735. 10 indexed citations
7.
Çevik, Volkan, Freddy Boutrot, Alexandre Robert‐Seilaniantz, et al.. (2019). Transgressive segregation reveals mechanisms ofArabidopsisimmunity toBrassica-infecting races of white rust (Albugo candida). Proceedings of the National Academy of Sciences. 116(7). 2767–2773. 40 indexed citations
9.
Belhaj, Khaoula, Liliana M. Cano, David Prince, et al.. (2016). Arabidopsis late blight: infection of a nonhost plant by Albugo laibachii enables full colonization by Phytophthora infestans. Cellular Microbiology. 19(1). e12628–e12628. 36 indexed citations
10.
Belhaj, Khaoula, Liliana M. Cano, David Prince, et al.. (2016). Arabidopsis late blight: infection of a nonhost plant by Albugo laibachii enables full colonization by Phytophthora infestans.. Apollo (University of Cambridge). 1 indexed citations
11.
Prince, David, Claire Drurey, Cyril Zipfel, & Saskia A. Hogenhout. (2014). The Leucine-Rich Repeat Receptor-Like Kinase BRASSINOSTEROID INSENSITIVE1-ASSOCIATED KINASE1 and the Cytochrome P450 PHYTOALEXIN DEFICIENT3 Contribute to Innate Immunity to Aphids in Arabidopsis   . PLANT PHYSIOLOGY. 164(4). 2207–2219. 132 indexed citations
12.
Kobow, Katja, Stéphane Auvin, Frances E. Jensen, et al.. (2012). Finding a better drug for epilepsy: Antiepileptogenesis targets. Epilepsia. 53(11). 1868–1876. 74 indexed citations
13.
Li, Huifang, Isabel Parada, Leonardo Coutinho Faria, et al.. (2011). Targets for preventing epilepsy following cortical injury. Neuroscience Letters. 497(3). 172–176. 22 indexed citations
14.
Whitney, Heather M., et al.. (2011). Why do so many petals have conical epidermal cells?. Annals of Botany. 108(4). 609–616. 147 indexed citations
15.
Bos, Jorunn I. B., David Prince, Marco Pitino, et al.. (2010). A Functional Genomics Approach Identifies Candidate Effectors from the Aphid Species Myzus persicae (Green Peach Aphid). PLoS Genetics. 6(11). e1001216–e1001216. 371 indexed citations breakdown →
16.
Prince, David. (1980). Three-Dimensional Shock Structures for Transonic/Supersonic Compressor Rotors. Journal of Aircraft. 17(1). 28–37. 20 indexed citations
17.
Prince, David, et al.. (1973). Convulsant actions of penicillin: effects on inhibitory mechanisms. Brain Research. 53(2). 477–482. 70 indexed citations
18.
Darmady, E. M., et al.. (1965). The cleaning of instruments and syringes. Journal of Clinical Pathology. 18(1). 6–12. 4 indexed citations
19.
Prince, David, et al.. (1964). Pneumoencephalography in patients with brain tumor. Neurology. 14(7). 677–677. 3 indexed citations
20.
Darmady, E. M., et al.. (1961). Sterilization by dry heat. Journal of Clinical Pathology. 14(1). 38–44. 28 indexed citations

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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