Tom Shepherd

2.1k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Tom Shepherd is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, Tom Shepherd has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 11 papers in Food Science and 10 papers in Molecular Biology. Recurrent topics in Tom Shepherd's work include Plant Surface Properties and Treatments (8 papers), Insect and Pesticide Research (8 papers) and Insect-Plant Interactions and Control (8 papers). Tom Shepherd is often cited by papers focused on Plant Surface Properties and Treatments (8 papers), Insect and Pesticide Research (8 papers) and Insect-Plant Interactions and Control (8 papers). Tom Shepherd collaborates with scholars based in United Kingdom, Czechia and Ireland. Tom Shepherd's co-authors include D. Wynne Griffiths, G.W. Robertson, Derek Stewart, Susan R. Verrall, Howard V. Davies, Graeme W Robertson, James W. McNicol, A. N. E. Birch, Gavin Ramsay and Gary Dobson and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Tom Shepherd

35 papers receiving 1.5k citations

Hit Papers

The effects of stress on plant cuticular waxes 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Shepherd United Kingdom 20 1.2k 406 220 210 171 35 1.6k
Maaria Rosenkranz Germany 17 860 0.7× 407 1.0× 146 0.7× 172 0.8× 110 0.6× 24 1.3k
Biancaelena Maserti Italy 27 1.1k 1.0× 393 1.0× 111 0.5× 93 0.4× 119 0.7× 62 2.0k
Astrid Kännaste Estonia 23 1.2k 1.0× 402 1.0× 107 0.5× 442 2.1× 135 0.8× 38 1.7k
Jean‐Philippe Mévy France 16 614 0.5× 269 0.7× 178 0.8× 102 0.5× 126 0.7× 38 947
Anu Lavola Finland 21 983 0.8× 291 0.7× 125 0.6× 98 0.5× 144 0.8× 32 1.4k
Chiara Pagliarani Italy 21 1.4k 1.2× 527 1.3× 174 0.8× 78 0.4× 285 1.7× 43 1.7k
Christine Girousse France 19 1.9k 1.6× 387 1.0× 110 0.5× 377 1.8× 122 0.7× 31 2.2k
Robert J. Joly United States 28 2.2k 1.9× 758 1.9× 239 1.1× 62 0.3× 355 2.1× 51 2.7k
Elisa Pellegrini Italy 30 1.7k 1.5× 307 0.8× 150 0.7× 70 0.3× 273 1.6× 113 2.2k
José Francisco de Carvalho Gonçalves Brazil 22 1.0k 0.9× 301 0.7× 128 0.6× 43 0.2× 266 1.6× 126 1.6k

Countries citing papers authored by Tom Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Tom Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Shepherd

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

All Works

20 of 20 papers shown
1.
Primeau, Charlotte, et al.. (2023). Can latent fingerprint disclose the sex of the donor? A preliminary test study using GC–MS analysis of latent fingerprints. Journal of Forensic Sciences. 68(4). 1178–1189. 2 indexed citations
2.
Hedley, Pete E., K. Topp, Jenny Morris, et al.. (2019). Development and Quality of Barley Husk Adhesion Correlates With Changes in Caryopsis Cuticle Biosynthesis and Composition. Frontiers in Plant Science. 10. 672–672. 8 indexed citations
5.
Shepherd, Tom, et al.. (2014). Relationship between volatile profile and sensory development of an oat-based biscuit. Food Chemistry. 160. 72–81. 14 indexed citations
6.
Shepherd, Tom, et al.. (2012). Comparison of two headspace sampling techniques for the analysis of off-flavour volatiles from oat based products. Food Chemistry. 134(3). 1592–1600. 24 indexed citations
7.
Morris, Wayne L., Laurence J. M. Ducreux, Tom Shepherd, et al.. (2011). Utilisation of the MVA pathway to produce elevated levels of the sesquiterpene α-copaene in potato tubers. Phytochemistry. 72(18). 2288–2293. 16 indexed citations
8.
Fountaine, James, Tim J. Daniell, Tom Shepherd, et al.. (2009). Leaf wax and cultivar effects on phylloplane organisms and disease in barley.. Aspects of applied biology. 207–212. 5 indexed citations
9.
Foito, Alexandre, Stephen Byrne, Tom Shepherd, Derek Stewart, & Susanne Barth. (2009). Transcriptional and metabolic profiles of Lolium perenne L. genotypes in response to a PEG‐induced water stress. Plant Biotechnology Journal. 7(8). 719–732. 77 indexed citations
10.
Dobson, Gary, Tom Shepherd, Susan R. Verrall, et al.. (2009). A Metabolomics Study of Cultivated Potato (Solanum tuberosum) Groups Andigena, Phureja, Stenotomum, and Tuberosum Using Gas Chromatography−Mass Spectrometry. Journal of Agricultural and Food Chemistry. 58(2). 1214–1223. 31 indexed citations
11.
Ducreux, Laurence J. M., Wayne L. Morris, Ian M. Prosser, et al.. (2008). Expression profiling of potato germplasm differentiated in quality traits leads to the identification of candidate flavour and texture genes. Journal of Experimental Botany. 59(15). 4219–4231. 53 indexed citations
12.
Dobson, Gary, Tom Shepherd, Susan R. Verrall, et al.. (2008). Phytochemical Diversity in Tubers of Potato Cultivars and Landraces Using a GC-MS Metabolomics Approach. Journal of Agricultural and Food Chemistry. 56(21). 10280–10291. 53 indexed citations
13.
Griffiths, D. Wynne, Tom Shepherd, & Derek Stewart. (2008). Comparison of the Calystegine Composition and Content of Potato Sprouts and Tubers from Solanum tuberosum Group Phureja and Solanum tuberosum Group Tuberosum. Journal of Agricultural and Food Chemistry. 56(13). 5197–5204. 9 indexed citations
14.
Shepherd, Tom, Gary Dobson, Susan R. Verrall, et al.. (2007). Potato metabolomics by GC–MS: what are the limiting factors?. Metabolomics. 3(4). 475–488. 55 indexed citations
15.
Nuopponen, Mari, et al.. (2006). Hemicelluloses and pectins in 25 tropical hardwoods. Cellulose Chemistry and Technology. 40. 735–738. 3 indexed citations
16.
Shepherd, Tom & D. Wynne Griffiths. (2006). The effects of stress on plant cuticular waxes. New Phytologist. 171(3). 469–499. 703 indexed citations breakdown →
17.
Griffiths, D. Wynne, Graeme W Robertson, Tom Shepherd, et al.. (2000). A comparison of the composition of epicuticular wax from red raspberry (Rubus idaeus L.) and hawthorn (Crataegus monogyna Jacq.) flowers. Phytochemistry. 55(2). 111–116. 38 indexed citations
18.
Shepherd, Tom, et al.. (2000). Plants and aphids: the chemical ecology of infestation.. 122–124. 1 indexed citations
19.
Shepherd, Tom, et al.. (1997). Effects of environment on the composition of epicuticular wax esters from kale and swede. Phytochemistry. 46(1). 83–96. 67 indexed citations
20.
Shepherd, Tom, et al.. (1995). Effects of environment on the composition of epicuticular wax from kale and swede. Phytochemistry. 40(2). 407–417. 72 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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