Philip A. Venter

34 total papers · 1.0k total citations
19 papers, 686 citations indexed

About

Philip A. Venter is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Philip A. Venter has authored 19 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Philip A. Venter's work include Plant Virus Research Studies (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Philip A. Venter is often cited by papers focused on Plant Virus Research Studies (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Philip A. Venter collaborates with scholars based in South Africa, United States and Australia. Philip A. Venter's co-authors include Anette Schneemann, Neel K. Krishna, Liza Bornman, Robert C. Williams, Zané Lombard, Desiré L. Dalton, Riana Bornman, Rosemary J. Burnett, Vanessa M. Hayes and M. Jeffrey Mphahlele and has published in prestigious journals such as Cancer Research, Journal of Virology and Cellular and Molecular Life Sciences.

In The Last Decade

Philip A. Venter

19 papers receiving 671 citations

Author Peers

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

Author						Papers	Cites
Philip A. Venter	174	159	144	136	106	19	686
Alfred M. Del Vecchio	182 1.0×	333 2.1×	67 0.5×	238 1.8×	33 0.3×	18	771
Isabel Gallego	235 1.4×	234 1.5×	57 0.4×	191 1.4×	46 0.4×	35	761
Gema Gómez‐Mariano	289 1.7×	80 0.5×	100 0.7×	147 1.1×	29 0.3×	28	657
Mihai Gagea	161 0.9×	110 0.7×	48 0.3×	58 0.4×	73 0.7×	19	658
Timokratis Karamitros	257 1.5×	190 1.2×	93 0.6×	188 1.4×	11 0.1×	38	642
Annemarie Lekkerkerker	230 1.3×	127 0.8×	33 0.2×	69 0.5×	130 1.2×	25	751
Thomas McCarty	245 1.4×	264 1.7×	32 0.2×	211 1.6×	78 0.7×	22	759
Baochang Fan	241 1.4×	283 1.8×	30 0.2×	112 0.8×	27 0.3×	16	673
John Lyle	222 1.3×	233 1.5×	65 0.5×	105 0.8×	11 0.1×	15	565
Rachel R. Higgins	258 1.5×	178 1.1×	31 0.2×	112 0.8×	39 0.4×	23	577

Countries citing papers authored by Philip A. Venter

Since Specialization

Citations

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

Fields of papers citing papers by Philip A. Venter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip A. Venter

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Venter. A scholar is included among the top collaborators of Philip A. Venter 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 A. Venter. Philip A. Venter 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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