Fiona J. Thomson

1.6k total citations · 1 hit paper
14 papers, 940 citations indexed

About

Fiona J. Thomson is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Fiona J. Thomson has authored 14 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nature and Landscape Conservation, 8 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Ecology. Recurrent topics in Fiona J. Thomson's work include Ecology and Vegetation Dynamics Studies (11 papers), Plant and animal studies (8 papers) and Species Distribution and Climate Change (5 papers). Fiona J. Thomson is often cited by papers focused on Ecology and Vegetation Dynamics Studies (11 papers), Plant and animal studies (8 papers) and Species Distribution and Climate Change (5 papers). Fiona J. Thomson collaborates with scholars based in Australia, New Zealand and United States. Fiona J. Thomson's co-authors include Angela T. Moles, Tony D. Auld, Richard T. Kingsford, Elise Holland, Michelle Stratemeyer, Peter Koval, Nick Haslam, David I. Warton, Daniel Ramp and Shiquan Ren and has published in prestigious journals such as PLoS ONE, New Phytologist and Journal of Ecology.

In The Last Decade

Fiona J. Thomson

13 papers receiving 929 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Seed dispersal distance is more strongly correlated with plant height than with seed mass

2011 505 citations Fiona J. Thomson, Angela T. Moles et al. Journal of Ecology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fiona J. Thomson Australia	12	592	454	253	235	170	14	940
A. C. Terry United Kingdom	12	319 0.5×	254 0.6×	281 1.1×	251 1.1×	138 0.8×	13	943
Jayanti Ray‐Mukherjee South Africa	7	464 0.8×	274 0.6×	205 0.8×	153 0.7×	130 0.8×	10	799
Elizabeth Wenk Australia	12	225 0.4×	201 0.4×	123 0.5×	108 0.5×	83 0.5×	26	532
Emily D. Yates United States	7	249 0.4×	158 0.3×	157 0.6×	119 0.5×	143 0.8×	12	465
Allan Timmermann Denmark	10	264 0.4×	364 0.8×	105 0.4×	247 1.1×	75 0.4×	14	525
Lauren G. Shoemaker United States	14	213 0.4×	201 0.4×	251 1.0×	53 0.2×	109 0.6×	33	608
Fabrício Beggiato Baccaro Brazil	22	451 0.8×	611 1.3×	326 1.3×	78 0.3×	242 1.4×	101	1.3k
Susan L.‐H. Lim Malaysia	13	381 0.6×	154 0.3×	469 1.9×	29 0.1×	176 1.0×	19	850
Daniel Carstensen Denmark	15	477 0.8×	652 1.4×	343 1.4×	304 1.3×	262 1.5×	23	1.0k
Constanza L. Quiroz Chile	11	411 0.7×	269 0.6×	189 0.7×	213 0.9×	114 0.7×	14	623

Countries citing papers authored by Fiona J. Thomson

Since Specialization

Citations

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

Fields of papers citing papers by Fiona J. Thomson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona J. Thomson

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

All Works

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14 of 14 papers shown

Thomson, Fiona J.. (2022). Measuring the effective dispersal of an emerging coastal weed, Euphorbia paralias (sea spurge), to help inform its eradication. Biological Invasions. 24(6). 1553–1559.

Popović, Gordana, David I. Warton, Fiona J. Thomson, Francis K. C. Hui, & Angela T. Moles. (2019). Untangling direct species associations from indirect mediator species effects with graphical models. Methods in Ecology and Evolution. 10(9). 1571–1583. 53 indexed citations

Chen, Si‐Chong, et al.. (2019). Trade‐off or coordination? Correlations between ballochorous and myrmecochorous phases of diplochory. Functional Ecology. 33(8). 1469–1479. 18 indexed citations

Colbach, Nathalie, Stéphane Cordeau, Sylvie Granger, et al.. (2017). Landsharing vs landsparing: How to reconcile crop production and biodiversity? A simulation study focusing on weed impacts. Agriculture Ecosystems & Environment. 251. 203–217. 12 indexed citations

Thomson, Fiona J., Andrew D. Letten, Riin Tamme, Will Edwards, & Angela T. Moles. (2017). Can dispersal investment explain why tall plant species achieve longer dispersal distances than short plant species?. New Phytologist. 217(1). 407–415. 50 indexed citations

Thomson, Fiona J., et al.. (2016). Is there a latitudinal gradient in the proportion of species with spinescence?. Journal of Plant Ecology. rtw031–rtw031. 13 indexed citations

Thomson, Fiona J., Tony D. Auld, Daniel Ramp, & Richard T. Kingsford. (2016). A Switch in Keystone Seed-Dispersing Ant Genera between Two Elevations for a Myrmecochorous Plant, Acacia terminalis. PLoS ONE. 11(6). e0157632–e0157632. 9 indexed citations

Wiser, Susan K., Fiona J. Thomson, & Miquel De Cáceres. (2016). Expanding an existing classification of New Zealand vegetation to include non-forested vegetation. New Zealand Journal of Ecology. 40(1). 160–178. 11 indexed citations

Holland, Elise, Peter Koval, Michelle Stratemeyer, Fiona J. Thomson, & Nick Haslam. (2016). Sexual objectification in women's daily lives: A smartphone ecological momentary assessment study. British Journal of Social Psychology. 56(2). 314–333. 91 indexed citations

10.

Mason, Norman W. H., Susan K. Wiser, Sarah J. Richardson, et al.. (2013). Functional Traits Reveal Processes Driving Natural Afforestation at Large Spatial Scales. PLoS ONE. 8(9). e75219–e75219. 11 indexed citations

11.

Rollins, Lee A., Angela T. Moles, Robert Buitenwerf, et al.. (2013). High genetic diversity is not essential for successful introduction. Ecology and Evolution. 3(13). 4501–4517. 61 indexed citations

12.

Flores‐Moreno, Habacuc, Fiona J. Thomson, David I. Warton, & Angela T. Moles. (2013). Are Introduced Species Better Dispersers Than Native Species? A Global Comparative Study of Seed Dispersal Distance. PLoS ONE. 8(6). e68541–e68541. 25 indexed citations

13.

Thomson, Fiona J., Angela T. Moles, Tony D. Auld, & Richard T. Kingsford. (2011). Seed dispersal distance is more strongly correlated with plant height than with seed mass. Journal of Ecology. 99(6). 1299–1307. 505 indexed citations breakdown →

14.

Thomson, Fiona J., Angela T. Moles, Tony D. Auld, et al.. (2010). Chasing the unknown: predicting seed dispersal mechanisms from plant traits. Journal of Ecology. 98(6). 1310–1318. 81 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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