Geoff Collins

1.6k total citations
7 papers, 1.1k citations indexed

About

Geoff Collins is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Geoff Collins has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biochemistry and 4 papers in Plant Science. Recurrent topics in Geoff Collins's work include Plant Gene Expression Analysis (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Plant biochemistry and biosynthesis (3 papers). Geoff Collins is often cited by papers focused on Plant Gene Expression Analysis (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Plant biochemistry and biosynthesis (3 papers). Geoff Collins collaborates with scholars based in United Kingdom, Netherlands and Italy. Geoff Collins's co-authors include Martine Verhoeyen, Arnaud Bovy, S. R. Muir, Gwénaëlle Le Gall, Ian J. Colquhoun, Adrienne L. Davis, C. H. Ric De Vos, Susan Robinson, Arjen J. van Tunen and Stephen H. Hughes and has published in prestigious journals such as Nature Biotechnology, The Plant Cell and Journal of Agricultural and Food Chemistry.

In The Last Decade

Geoff Collins

7 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoff Collins United Kingdom	6	855	501	368	125	86	7	1.1k
Silke Peterek Germany	8	1.0k 1.2×	674 1.3×	509 1.4×	129 1.0×	103 1.2×	12	1.4k
Bong Gyu Kim South Korea	19	614 0.7×	256 0.5×	170 0.5×	60 0.5×	75 0.9×	28	835
Kaisu Määttä Finland	8	449 0.5×	474 0.9×	590 1.6×	201 1.6×	38 0.4×	10	992
Mathew A. Wallig United States	6	703 0.8×	457 0.9×	383 1.0×	110 0.9×	23 0.3×	8	1.0k
Woo Tae Park South Korea	17	472 0.6×	400 0.8×	206 0.6×	138 1.1×	46 0.5×	48	750
Benoît Biais France	20	670 0.8×	845 1.7×	203 0.6×	272 2.2×	71 0.8×	24	1.5k
Sang Suk Kim South Korea	16	329 0.4×	229 0.5×	202 0.5×	145 1.2×	44 0.5×	69	733
Danny L. Barney United States	12	200 0.2×	353 0.7×	333 0.9×	169 1.4×	28 0.3×	27	759
Adam M. Takos Denmark	12	1.6k 1.9×	1.1k 2.3×	615 1.7×	214 1.7×	129 1.5×	14	2.0k
Norimoto Shimada Japan	15	721 0.8×	408 0.8×	187 0.5×	47 0.4×	44 0.5×	26	916

Countries citing papers authored by Geoff Collins

Since Specialization

Citations

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

Fields of papers citing papers by Geoff Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoff Collins

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

All Works

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7 of 7 papers shown

Gall, Gwénaëlle Le, Ian J. Colquhoun, Adrienne L. Davis, Geoff Collins, & Martine Verhoeyen. (2004). Metabolite Profiling of Tomato (Lycopersicon esculentum) Using ¹H NMR Spectroscopy as a Tool To Detect Potential Unintended Effects Following a Genetic Modification. Journal of Agricultural and Food Chemistry. 52(10). 3210–3210. 1 indexed citations

Gall, Gwénaëlle Le, M. Susan DuPont, Fred A. Mellon, et al.. (2003). Characterization and Content of Flavonoid Glycosides in Genetically Modified Tomato (Lycopersicon esculentum) Fruits. Journal of Agricultural and Food Chemistry. 51(9). 2438–2446. 133 indexed citations

Femia, Angelo Pietro, Giovanna Caderni, Maddalena Salvadori, et al.. (2003). Effect of diets fortified with tomatoes or onions with variable quercetin-glycoside content on azoxymethane-induced aberrant crypt foci in the colon of rats. European Journal of Nutrition. 42(6). 346–352. 22 indexed citations

Gall, Gwénaëlle Le, Ian J. Colquhoun, Adrienne L. Davis, Geoff Collins, & Martine Verhoeyen. (2003). Metabolite Profiling of Tomato (Lycopersicon esculentum) Using ¹H NMR Spectroscopy as a Tool To Detect Potential Unintended Effects Following a Genetic Modification. Journal of Agricultural and Food Chemistry. 51(9). 2447–2456. 197 indexed citations

Bovy, Arnaud, Ric C. H. de Vos, Mark S. Kemper, et al.. (2002). High-Flavonol Tomatoes Resulting from the Heterologous Expression of the Maize Transcription Factor Genes LC and C1. The Plant Cell. 14(10). 2509–2526. 341 indexed citations

Bovy, Arnaud, Geoff Collins, S. R. Muir, et al.. (2002). Improving the nutritional content of tomatoes through reprogramming their flavonoid biosynthetic pathway. Phytochemistry Reviews. 1(1). 113–123. 43 indexed citations

Muir, S. R., Geoff Collins, Susan Robinson, et al.. (2001). Overexpression of petunia chalcone isomerase in tomato results in fruit containing increased levels of flavonols. Nature Biotechnology. 19(5). 470–474. 406 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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