Richard Booth

686 total citations
9 papers, 558 citations indexed

About

Richard Booth is a scholar working on Molecular Biology, Biomaterials and Cellular and Molecular Neuroscience. According to data from OpenAlex, Richard Booth has authored 9 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biomaterials and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Richard Booth's work include Lipid Membrane Structure and Behavior (4 papers), Supramolecular Self-Assembly in Materials (4 papers) and Photoreceptor and optogenetics research (3 papers). Richard Booth is often cited by papers focused on Lipid Membrane Structure and Behavior (4 papers), Supramolecular Self-Assembly in Materials (4 papers) and Photoreceptor and optogenetics research (3 papers). Richard Booth collaborates with scholars based in United Kingdom, Spain and France. Richard Booth's co-authors include Stephen Mann, Mei Li, Yan Qiao, Nicolas Martin, Jean‐Paul Douliez, P. W. McMillan, Ignacio Insua, Javier Montenegro, Sahnawaz Ahmed and Ghibom Bhak and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Chemistry.

In The Last Decade

Richard Booth

9 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Booth United Kingdom	7	304	154	149	128	118	9	558
Maaruthy Yelleswarapu Netherlands	7	363 1.2×	103 0.7×	104 0.7×	312 2.4×	70 0.6×	8	622
James W. Hindley United Kingdom	14	420 1.4×	170 1.1×	124 0.8×	306 2.4×	107 0.9×	19	758
B. V. V. S. Pavan Kumar India	13	400 1.3×	177 1.1×	196 1.3×	272 2.1×	163 1.4×	21	842
Ravinash Krishna Kumar United Kingdom	13	170 0.6×	154 1.0×	129 0.9×	240 1.9×	54 0.5×	18	560
Alexander M. Bergmann Germany	13	238 0.8×	220 1.4×	127 0.9×	68 0.5×	60 0.5×	20	560
Koh‐ichiroh Shohda Japan	10	510 1.7×	141 0.9×	54 0.4×	120 0.9×	154 1.3×	14	680
Laura Heinen Germany	6	312 1.0×	228 1.5×	132 0.9×	123 1.0×	77 0.7×	9	609
Mark S. Friddin United Kingdom	14	341 1.1×	88 0.6×	75 0.5×	358 2.8×	109 0.9×	17	654
Fabian Späth Germany	7	193 0.6×	113 0.7×	91 0.6×	56 0.4×	34 0.3×	10	392
Tsvetomir Ivanov Germany	10	211 0.7×	112 0.7×	127 0.9×	133 1.0×	45 0.4×	19	441

Countries citing papers authored by Richard Booth

Since Specialization

Citations

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

Fields of papers citing papers by Richard Booth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Booth

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

All Works

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9 of 9 papers shown

Lee, Jessica, Fatma Pir Cakmak, Richard Booth, & Christine D. Keating. (2024). Hybrid Protocells Based on Coacervate‐Templated Fatty Acid Vesicles Combine Improved Membrane Stability with Functional Interior Protocytoplasm. Small. 20(52). e2406671–e2406671. 4 indexed citations

Booth, Richard, et al.. (2021). Supramolecular fibrillation of peptide amphiphiles induces environmental responses in aqueous droplets. Nature Communications. 12(1). 6421–6421. 29 indexed citations

Booth, Richard, Yan Qiao, Mei Li, & Stephen Mann. (2019). Spatial Positioning and Chemical Coupling in Coacervate‐in‐Proteinosome Protocells. Angewandte Chemie. 131(27). 9218–9222. 17 indexed citations

Booth, Richard, Yan Qiao, Mei Li, & Stephen Mann. (2019). Spatial Positioning and Chemical Coupling in Coacervate‐in‐Proteinosome Protocells. Angewandte Chemie International Edition. 58(27). 9120–9124. 100 indexed citations

Booth, Richard, Ignacio Insua, Ghibom Bhak, & Javier Montenegro. (2018). Self-assembled micro-fibres by oxime connection of linear peptide amphiphiles. Organic & Biomolecular Chemistry. 17(7). 1984–1991. 15 indexed citations

Martin, Nicolas, Jean‐Paul Douliez, Yan Qiao, et al.. (2018). Antagonistic chemical coupling in self-reconfigurable host–guest protocells. Nature Communications. 9(1). 3652–3652. 94 indexed citations

Qiao, Yan, Mei Li, Richard Booth, & Stephen Mann. (2016). Predatory behaviour in synthetic protocell communities. Nature Chemistry. 9(2). 110–119. 270 indexed citations

Booth, Richard, et al.. (1970). Structural changes related to electrical properties of Bulk chalcogenide glasses. Journal of Non-Crystalline Solids. 4. 510–517. 25 indexed citations

McMillan, P. W., et al.. (1969). Mechanical strength and surface microstructure of partially crystallised glasses. Journal of Materials Science. 4(12). 1029–1038. 4 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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