Philip R. White

131 total papers · 5.5k total citations
46 papers, 1.1k citations indexed

About

Philip R. White is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Philip R. White has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Plant Science. Recurrent topics in Philip R. White's work include Plant Pathogens and Fungal Diseases (8 papers), Plant tissue culture and regeneration (6 papers) and Plant Physiology and Cultivation Studies (3 papers). Philip R. White is often cited by papers focused on Plant Pathogens and Fungal Diseases (8 papers), Plant tissue culture and regeneration (6 papers) and Plant Physiology and Cultivation Studies (3 papers). Philip R. White collaborates with scholars based in United States, United Kingdom and New Zealand. Philip R. White's co-authors include Dorothea Rudnick, Paul G. Risser, Jakob Reinert, Michael E. Webber, Eric Wilson, Joshua D. Rhodes, W. F. Millington, Dustin Osborne, Roger Jones and Andrew Singleton and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JNCI Journal of the National Cancer Institute.

In The Last Decade

Philip R. White

43 papers receiving 915 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Philip R. White 598 508 112 106 79 46 1.1k
Cheng Zhou 484 0.8× 475 0.9× 68 0.6× 51 0.5× 56 0.7× 85 1.2k
Ib Søndergaard 444 0.7× 279 0.5× 78 0.7× 99 0.9× 54 0.7× 52 1.3k
Yuhui Chen 271 0.5× 890 1.8× 57 0.5× 71 0.7× 108 1.4× 89 1.3k
Rong Zhang 264 0.4× 251 0.5× 47 0.4× 38 0.4× 71 0.9× 67 1.1k
Zhou Chen 535 0.9× 115 0.2× 66 0.6× 92 0.9× 47 0.6× 55 1.0k
Pamela Abbruscato 524 0.9× 791 1.6× 62 0.6× 132 1.2× 71 0.9× 34 1.4k
Aminael Sánchez‐Rodríguez 435 0.7× 274 0.5× 91 0.8× 60 0.6× 26 0.3× 61 1.0k
Michel Rodrigo Zambrano Passarini 335 0.6× 327 0.6× 70 0.6× 183 1.7× 332 4.2× 58 1.2k
Ping Ma 578 1.0× 724 1.4× 47 0.4× 175 1.7× 70 0.9× 116 1.5k
Mohammad Reza Ghaffari 462 0.8× 1.1k 2.1× 83 0.7× 70 0.7× 30 0.4× 85 1.4k

Countries citing papers authored by Philip R. White

Since Specialization
Citations

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

Fields of papers citing papers by Philip R. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip R. White. 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 Philip R. White. The network helps show where Philip R. White may publish in the future.

Co-authorship network of co-authors of Philip R. White

This figure shows the co-authorship network connecting the top 25 collaborators of Philip R. White. A scholar is included among the top collaborators of Philip R. White 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 Philip R. White. Philip R. White is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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