Philip J. Swarbrick

722 total citations
8 papers, 550 citations indexed

About

Philip J. Swarbrick is a scholar working on Plant Science, Horticulture and Molecular Biology. According to data from OpenAlex, Philip J. Swarbrick has authored 8 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Horticulture and 2 papers in Molecular Biology. Recurrent topics in Philip J. Swarbrick's work include Phytoplasmas and Hemiptera pathogens (4 papers), Plant Pathogenic Bacteria Studies (3 papers) and Cocoa and Sweet Potato Agronomy (3 papers). Philip J. Swarbrick is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (4 papers), Plant Pathogenic Bacteria Studies (3 papers) and Cocoa and Sweet Potato Agronomy (3 papers). Philip J. Swarbrick collaborates with scholars based in United Kingdom, Ethiopia and Slovenia. Philip J. Swarbrick's co-authors include Julie D. Scholes, Paul Schulze‐Lefert, Malcolm C. Press, Jon Slate, Matthew Dickinson, Kan Huang, Shuai Liu, Neil Boonham, J. A. TOMLINSON and J. Hodgetts and has published in prestigious journals such as New Phytologist, Journal of Experimental Botany and Plant Cell & Environment.

In The Last Decade

Philip J. Swarbrick

8 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip J. Swarbrick United Kingdom	8	513	108	82	55	49	8	550
Jennifer J. Randall United States	12	300 0.6×	127 1.2×	69 0.8×	36 0.7×	65 1.3×	54	389
E. J. Braun United States	14	704 1.4×	203 1.9×	156 1.9×	30 0.5×	56 1.1×	19	756
R. Rabindran India	15	765 1.5×	138 1.3×	82 1.0×	25 0.5×	38 0.8×	67	800
Luciana Lasry Benchimol‐Reis Brazil	19	1.1k 2.1×	97 0.9×	98 1.2×	35 0.6×	11 0.2×	52	1.2k
M. C. Black United States	13	502 1.0×	56 0.5×	64 0.8×	16 0.3×	67 1.4×	32	510
N. D. Suassuna Brazil	12	429 0.8×	71 0.7×	80 1.0×	30 0.5×	13 0.3×	65	462
Avijit Tarafdar India	12	303 0.6×	73 0.7×	66 0.8×	18 0.3×	11 0.2×	24	334
Jafar Mammadov United States	9	639 1.2×	239 2.2×	30 0.4×	34 0.6×	14 0.3×	13	738
Angélique Berger France	11	346 0.7×	137 1.3×	77 0.9×	9 0.2×	17 0.3×	19	460
S. Schenck United States	11	432 0.8×	79 0.7×	52 0.6×	12 0.2×	63 1.3×	20	458

Countries citing papers authored by Philip J. Swarbrick

Since Specialization

Citations

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

Fields of papers citing papers by Philip J. Swarbrick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Swarbrick

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

All Works

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8 of 8 papers shown

Swarbrick, Philip J., et al.. (2014). Detection of the Cape St. Paul wilt phytoplasma in coconut palms in Ghana through the combination of visual symptoms assessment and molecular diagnosis using a secA gene based assay.. Journal of Plant Pathology. 96(2). 281–285. 9 indexed citations

Hodgetts, J., et al.. (2011). Development of rapid in-field loop-mediated isothermal amplification (LAMP) assays for phytoplasmas. Bulletin of insectology. 64. 27 indexed citations

Swarbrick, Philip J., et al.. (2011). Improving molecular diagnostics for the detection of lethal disease phytoplasma of coconut in Ghana. Bulletin of insectology. 64. 11 indexed citations

Bekele, Berhanu, J. Hodgetts, J. A. TOMLINSON, et al.. (2010). Use of a real‐time LAMP isothermal assay for detecting 16SrII and XII phytoplasmas in fruit and weeds of the Ethiopian Rift Valley. Plant Pathology. 60(2). 345–355. 64 indexed citations

Swarbrick, Philip J., Julie D. Scholes, Malcolm C. Press, & Jon Slate. (2009). A major QTL for resistance of rice to the parasitic plant Striga hermonthica is not dependent on genetic background. Pest Management Science. 65(5). 528–532. 28 indexed citations

Swarbrick, Philip J., Kan Huang, Shuai Liu, et al.. (2008). Global patterns of gene expression in rice cultivars undergoing a susceptible or resistant interaction with the parasitic plant Striga hermonthica. New Phytologist. 179(2). 515–529. 97 indexed citations

Swarbrick, Philip J., Paul Schulze‐Lefert, & Julie D. Scholes. (2006). Metabolic consequences of susceptibility and resistance (race‐specific and broad‐spectrum) in barley leaves challenged with powdery mildew. Plant Cell & Environment. 29(6). 1061–1076. 268 indexed citations

Quilliam, Richard S., Philip J. Swarbrick, Julie D. Scholes, & Stephen A. Rolfe. (2005). Imaging photosynthesis in wounded leaves of Arabidopsis thaliana. Journal of Experimental Botany. 57(1). 55–69. 46 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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