R. Kirby

38 total papers · 661 total citations
29 papers, 477 citations indexed

About

R. Kirby is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, R. Kirby has authored 29 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 9 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in R. Kirby's work include Microbial Natural Products and Biosynthesis (9 papers), Plant Disease Resistance and Genetics (7 papers) and RNA and protein synthesis mechanisms (4 papers). R. Kirby is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Plant Disease Resistance and Genetics (7 papers) and RNA and protein synthesis mechanisms (4 papers). R. Kirby collaborates with scholars based in South Africa, Taiwan and United Kingdom. R. Kirby's co-authors include David A. Hopwood, Edward P. Rybicki, David Woods, Eastman M. Lewis, Eric O’Neill, Stephen L. Hart, Douglas E. Rawlings, W. A. Jones, M. B. von Wechmar and S.J. Hatfill and has published in prestigious journals such as Nature, FEBS Letters and Journal of Bacteriology.

In The Last Decade

R. Kirby

27 papers receiving 432 citations

Author Peers

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

Author						Papers	Cites
R. Kirby	223	168	145	61	50	29	477
Hairong He	280 1.3×	216 1.3×	150 1.0×	22 0.4×	52 1.0×	40	469
Yoko Kusuya	231 1.0×	108 0.6×	176 1.2×	39 0.6×	34 0.7×	24	500
Krisztina Krizsán	163 0.7×	119 0.7×	201 1.4×	19 0.3×	29 0.6×	15	471
C. L. San Clemente	242 1.1×	51 0.3×	80 0.6×	56 0.9×	35 0.7×	39	519
Magally Romero-Tabarez	202 0.9×	73 0.4×	242 1.7×	31 0.5×	57 1.1×	20	495
Thomas Booth	248 1.1×	191 1.1×	73 0.5×	24 0.4×	46 0.9×	29	471
María C. Stroe	198 0.9×	180 1.1×	114 0.8×	12 0.2×	25 0.5×	17	452
H.‐J. Preusser	163 0.7×	34 0.2×	95 0.7×	45 0.7×	34 0.7×	41	430
Xin Yu	122 0.5×	58 0.3×	72 0.5×	25 0.4×	26 0.5×	36	510
Marjorie A. Darken	221 1.0×	140 0.8×	161 1.1×	10 0.2×	27 0.5×	16	543

Countries citing papers authored by R. Kirby

Since Specialization

Citations

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

Fields of papers citing papers by R. Kirby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Kirby

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