David W. Redding

6.5k total citations · 5 hit papers
44 papers, 4.2k citations indexed

About

David W. Redding is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David W. Redding has authored 44 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 15 papers in Ecological Modeling and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David W. Redding's work include Species Distribution and Climate Change (15 papers), Ecology and Vegetation Dynamics Studies (12 papers) and Zoonotic diseases and public health (12 papers). David W. Redding is often cited by papers focused on Species Distribution and Climate Change (15 papers), Ecology and Vegetation Dynamics Studies (12 papers) and Zoonotic diseases and public health (12 papers). David W. Redding collaborates with scholars based in United Kingdom, United States and Canada. David W. Redding's co-authors include Arne Ø. Mooers, Kate E. Jones, Tim M. Blackburn, Lydia H. V. Franklinos, Rory Gibb, Ibrahim Abubakar, Klaas Hartmann, Nate Nibbelink, Tyler S. Kuhn and J. Timmons Roberts and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

David W. Redding

41 papers receiving 4.1k citations

Hit Papers

A guide to phylogenetic metrics for conservation, communi... 2013 2026 2017 2021 2016 2020 2014 2013 2019 100 200 300 400 500
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.

  1. A guide to phylogenetic metrics for conservation, community ecology and macroecology
    2016 597 citations Caroline M. Tucker, Marc W. Cadotte et al. Biological reviews/Biological reviews of the Cambridge Philosophical Society profile →
  2. Zoonotic host diversity increases in human-dominated ecosystems
    2020 499 citations Rory Gibb, David W. Redding et al. Nature profile →
  3. Global Distribution and Conservation of Evolutionary Distinctness in Birds
    2014 443 citations Walter Jetz, Gavin H. Thomas et al. Current Biology profile →
  4. Targeting global conservation funding to limit immediate biodiversity declines
    2013 418 citations Anthony Waldron, Arne Ø. Mooers et al. profile →
  5. The effect of global change on mosquito-borne disease
    2019 375 citations Lydia H. V. Franklinos, Kate E. Jones et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Redding United Kingdom 26 1.4k 1.4k 1.1k 887 859 44 4.2k
Víctor Sánchez‐Cordero Mexico 36 1.2k 0.9× 2.0k 1.5× 1.9k 1.7× 1.1k 1.3× 879 1.0× 138 4.6k
Taal Levi United States 32 1.2k 0.8× 3.2k 2.3× 804 0.7× 721 0.8× 646 0.8× 96 5.2k
Alice C. Hughes China 34 963 0.7× 1.9k 1.4× 1.1k 0.9× 1.3k 1.4× 259 0.3× 179 5.2k
Hillary S. Young United States 32 2.0k 1.4× 3.7k 2.7× 1.2k 1.0× 1.2k 1.4× 709 0.8× 101 6.5k
Monica Papeş United States 27 1.5k 1.1× 2.4k 1.7× 3.0k 2.7× 1.0k 1.2× 448 0.5× 92 4.9k
Julia E. Fa United Kingdom 46 1.1k 0.8× 3.5k 2.6× 651 0.6× 1.5k 1.7× 749 0.9× 221 6.9k
Bruce A. Wilcox United States 32 1.2k 0.9× 1.7k 1.3× 416 0.4× 623 0.7× 913 1.1× 91 4.5k
Narayani Barve United States 21 1.4k 1.0× 1.7k 1.3× 2.7k 2.4× 1.0k 1.2× 317 0.4× 47 4.0k
Robbie A. McDonald United Kingdom 46 1.1k 0.8× 4.4k 3.2× 647 0.6× 998 1.1× 624 0.7× 207 7.0k
Andrés Lira‐Noriega Mexico 26 1.5k 1.0× 2.1k 1.6× 2.7k 2.4× 1.2k 1.3× 339 0.4× 110 4.7k

Countries citing papers authored by David W. Redding

Since Specialization
Citations

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

Fields of papers citing papers by David W. Redding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Redding. 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 David W. Redding. The network helps show where David W. Redding may publish in the future.

Co-authorship network of co-authors of David W. Redding

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Redding. A scholar is included among the top collaborators of David W. Redding 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 David W. Redding. David W. Redding 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.
Friant, Sagan, Angela D. Luis, Christina A. Harden, et al.. (2025). Reducing the threats of rodent-borne zoonoses requires an understanding and leveraging of three key pillars: disease ecology, synanthropy, and rodentation. The Lancet Planetary Health. 9(9). 101300–101300.
2.
Redding, David W., et al.. (2025). Fast‐tracking ecological interpretation using bespoke quantitative large language models. Methods in Ecology and Evolution. 16(12). 2730–2740.
3.
Martinez, Eric S. & David W. Redding. (2024). An osteopathic orientation to interprofessional education. Journal of Osteopathic Medicine. 124(9). 379–385.
4.
Franklinos, Lydia H. V., David W. Redding, Tim Lucas, et al.. (2022). Joint spatiotemporal modelling reveals seasonally dynamic patterns of Japanese encephalitis vector abundance across India. PLoS neglected tropical diseases. 16(2). e0010218–e0010218. 5 indexed citations
5.
Redding, David W., et al.. (2022). Drivers and potential distribution of anthrax occurrence and incidence at national and sub-county levels across Kenya from 2006 to 2020 using INLA. Scientific Reports. 12(1). 20083–20083. 7 indexed citations
6.
Redding, David W., Rory Gibb, Chioma Dan-Nwafor, et al.. (2021). Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria. Nature Communications. 12(1). 5759–5759. 44 indexed citations
7.
Gibb, Rory, Lydia H. V. Franklinos, David W. Redding, & Kate E. Jones. (2020). Ecosystem perspectives are needed to manage zoonotic risks in a changing climate. BMJ. 371. m3389–m3389. 61 indexed citations
8.
Gibb, Rory, David W. Redding, Christl A. Donnelly, et al.. (2020). Zoonotic host diversity increases in human-dominated ecosystems. Nature. 584(7821). 398–402. 499 indexed citations breakdown →
9.
Redding, David W., Peter M. Atkinson, Andrew A. Cunningham, et al.. (2019). Impacts of environmental and socio-economic factors on emergence and epidemic potential of Ebola in Africa. Nature Communications. 10(1). 4531–4531. 63 indexed citations
10.
Franklinos, Lydia H. V., Kate E. Jones, David W. Redding, & Ibrahim Abubakar. (2019). The effect of global change on mosquito-borne disease. The Lancet Infectious Diseases. 19(9). e302–e312. 375 indexed citations breakdown →
11.
Gibb, Rory, Lina Moses, David W. Redding, & Kate E. Jones. (2017). Understanding the cryptic nature of Lassa fever in West Africa. Pathogens and Global Health. 111(6). 276–288. 72 indexed citations
12.
Waldron, Anthony, Daniel C. Miller, David W. Redding, et al.. (2017). Reductions in global biodiversity loss predicted from conservation spending. Nature. 551(7680). 364–367. 248 indexed citations
13.
Dyer, Ellie E., David W. Redding, & Tim M. Blackburn. (2017). The global avian invasions atlas, a database of alien bird distributions worldwide. Scientific Data. 4(1). 170041–170041. 111 indexed citations
14.
Redding, David W., Lina Moses, Andrew A. Cunningham, James L. N. Wood, & Kate E. Jones. (2016). Environmental‐mechanistic modelling of the impact of global change on human zoonotic disease emergence: a case study of Lassa fever. Methods in Ecology and Evolution. 7(6). 646–655. 62 indexed citations
15.
Tucker, Caroline M., Marc W. Cadotte, Sílvia B. Carvalho, et al.. (2016). A guide to phylogenetic metrics for conservation, community ecology and macroecology. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 92(2). 698–715. 597 indexed citations breakdown →
16.
Redding, David W. & Arne Ø. Mooers. (2015). Ranking Mammal Species for Conservation and the Loss of Both Phylogenetic and Trait Diversity. PLoS ONE. 10(12). e0141435–e0141435. 15 indexed citations
17.
Redding, David W., Florent Mazel, & Arne Ø. Mooers. (2014). Measuring Evolutionary Isolation for Conservation. PLoS ONE. 9(12). e113490–e113490. 49 indexed citations
18.
Jetz, Walter, Gavin H. Thomas, Jeffrey B. Joy, et al.. (2014). Global Distribution and Conservation of Evolutionary Distinctness in Birds. Current Biology. 24(9). 919–930. 443 indexed citations breakdown →
19.
Isaac, Nick J. B., David W. Redding, Helen Meredith, & Kamran Safi. (2012). Phylogenetically-Informed Priorities for Amphibian Conservation. PLoS ONE. 7(8). e43912–e43912. 108 indexed citations
20.
Redding, David W., et al.. (2010). Evolutionary Distinctiveness, Threat Status, and Ecological Oddity in Primates. Conservation Biology. 24(4). 1052–1058. 83 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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