Matthew S. Heard

6.7k total citations · 2 hit papers
63 papers, 4.8k citations indexed

About

Matthew S. Heard is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Plant Science. According to data from OpenAlex, Matthew S. Heard has authored 63 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, Evolution, Behavior and Systematics, 26 papers in Insect Science and 24 papers in Plant Science. Recurrent topics in Matthew S. Heard's work include Plant and animal studies (27 papers), Insect and Pesticide Research (21 papers) and Ecology and Vegetation Dynamics Studies (17 papers). Matthew S. Heard is often cited by papers focused on Plant and animal studies (27 papers), Insect and Pesticide Research (21 papers) and Ecology and Vegetation Dynamics Studies (17 papers). Matthew S. Heard collaborates with scholars based in United Kingdom, Italy and United States. Matthew S. Heard's co-authors include Richard F. Pywell, Ben A. Woodcock, James M. Bullock, John W. Redhead, David B. Roy, Claire Carvell, Andrew F. G. Bourke, Sarah Hulmes, P. Rothery and Lucy E. Ridding and has published in prestigious journals such as Nature, Science and PLoS ONE.

In The Last Decade

Matthew S. Heard

62 papers receiving 4.6k citations

Hit Papers

Biodiversity and Resilience of Ecosystem Functions 2015 2026 2018 2022 2015 2017 250 500 750

Peers

Matthew S. Heard
Douglas A. Landis United States
Adam J. Vanbergen United Kingdom
Eric V. Lonsdorf United States
Jennifer A. Rudgers United States
J. M. Holland United Kingdom
Claudio Gratton United States
Matthew S. Heard
Citations per year, relative to Matthew S. Heard Matthew S. Heard (= 1×) peers Klaus Birkhofer

Countries citing papers authored by Matthew S. Heard

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Heard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Heard. 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 Matthew S. Heard. The network helps show where Matthew S. Heard may publish in the future.

Co-authorship network of co-authors of Matthew S. Heard

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Heard. A scholar is included among the top collaborators of Matthew S. Heard 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 Matthew S. Heard. Matthew S. Heard 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
2.
Baker, D. James, Rebecca Wheeler, Amy Binner, et al.. (2025). Aligning strategic and participatory approaches to agri‐environment scheme design and implementation to enhance nature recovery outcomes. People and Nature. 7(2). 329–345. 3 indexed citations
3.
Tanentzap, Andrew J., et al.. (2023). Trade-offs between passive and trophic rewilding for biodiversity and ecosystem functioning. Biological Conservation. 281. 110005–110005. 8 indexed citations
4.
Woodcock, Ben A., Lucy E. Ridding, M. Glória Pereira, et al.. (2020). Neonicotinoid use on cereals and sugar beet is linked to continued low exposure risk in honeybees. Agriculture Ecosystems & Environment. 308. 107205–107205. 13 indexed citations
5.
Woodcock, Ben A., Lucy E. Ridding, Stephen N. Freeman, et al.. (2018). Neonicotinoid residues in UK honey despite European Union moratorium. PLoS ONE. 13(1). e0189681–e0189681. 31 indexed citations
6.
Woodcock, Ben A., James M. Bullock, Richard F. Shore, et al.. (2017). Country-specific effects of neonicotinoid pesticides on honey bees and wild bees. Science. 356(6345). 1393–1395. 532 indexed citations breakdown →
7.
Robinson, Alex, Helen Hesketh, Elma Lahive, et al.. (2017). Comparing bee species responses to chemical mixtures: Common response patterns?. PLoS ONE. 12(6). e0176289–e0176289. 58 indexed citations
8.
Heard, Matthew S., Jan Baas, J.L.C.M. Dorne, et al.. (2016). Comparative toxicity of pesticides and environmental contaminants in bees: Are honey bees a useful proxy for wild bee species?. The Science of The Total Environment. 578. 357–365. 110 indexed citations
9.
Spurgeon, David J., Helen Hesketh, Elma Lahive, et al.. (2016). Chronic oral lethal and sub‐lethal toxicities of different binary mixtures of pesticides and contaminants in bees (Apis mellifera, Osmia bicornis and Bombus terrestris). EFSA Supporting Publications. 13(9). 38 indexed citations
10.
Hesketh, Helen, Alice A. Horton, A. G. Robinson, et al.. (2016). Extending standard testing period in honeybees to predict lifespan impacts of pesticides and heavy metals using dynamic energy budget modelling. Scientific Reports. 6(1). 37655–37655. 31 indexed citations
11.
Oliver, Tom H., Matthew S. Heard, Nick J. B. Isaac, et al.. (2015). Biodiversity and Resilience of Ecosystem Functions. Trends in Ecology & Evolution. 30(11). 673–684. 987 indexed citations breakdown →
12.
Dreier, Stephanie, John W. Redhead, Ian A. Warren, et al.. (2014). Fine‐scale spatial genetic structure of common and declining bumble bees across an agricultural landscape. Molecular Ecology. 23(14). 3384–3395. 46 indexed citations
13.
Carvell, Claire, Juliet L. Osborne, Andrew F. G. Bourke, et al.. (2011). Bumble bee species' responses to a targeted conservation measure depend on landscape context and habitat quality. Ecological Applications. 21(5). 1760–1771. 129 indexed citations
14.
Woodcock, Ben A., Duncan B. Westbury, Alex J. Brook, et al.. (2011). Effects of seed addition on beetle assemblages during the re‐creation of species‐rich lowland hay meadows. Insect Conservation and Diversity. 5(1). 19–26. 7 indexed citations
15.
Hinsley, Shelley A., John W. Redhead, Paul E. Bellamy, et al.. (2010). Testing agri‐environment delivery for farmland birds at the farm scale: the Hillesden experiment. Ibis. 152(3). 500–514. 21 indexed citations
16.
Bellamy, Paul E., P. J. Croxton, Matthew S. Heard, et al.. (2008). The impact of growing miscanthus for biomass on farmland bird populations. Biomass and Bioenergy. 33(2). 191–199. 83 indexed citations
17.
Brooks, David R., L. G. Firbank, David A. Bohan, et al.. (2007). The implications of genetically modified herbicide-tolerant crops for UK farmland biodiversity: a summary of the results of the Farm Scale Evaluations project. Rothamsted Repository (Rothamsted Repository). 2 indexed citations
18.
Perry, J. N., L. G. Firbank, G. T. Champion, et al.. (2004). Ban on triazine herbicides likely to reduce but not negate relative benefits of GMHT maize cropping. Nature. 428(6980). 313–316. 31 indexed citations
19.
Roy, David B., David A. Bohan, A. J. Haughton, et al.. (2003). Invertebrates and vegetation of field margins adjacent to crops subject to contrasting herbicide regimes in the Farm Scale Evaluations of genetically modified herbicide–tolerant crops. Philosophical Transactions of the Royal Society B Biological Sciences. 358(1439). 1879–1898. 101 indexed citations
20.
Woiwod, I. P., A. M. Dewar, Cathy Hawes, & Matthew S. Heard. (2000). Farm-scale trials for studying the effects of GM herbicide-tolerant crops on farmland biodiversity in the UK. Rothamsted Repository (Rothamsted Repository). 1 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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