William E. Grant

8.0k total citations
325 papers, 5.9k citations indexed

About

William E. Grant is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, William E. Grant has authored 325 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Ecology, 66 papers in Global and Planetary Change and 63 papers in Nature and Landscape Conservation. Recurrent topics in William E. Grant's work include Wildlife Ecology and Conservation (46 papers), Ecology and Vegetation Dynamics Studies (39 papers) and Rangeland and Wildlife Management (26 papers). William E. Grant is often cited by papers focused on Wildlife Ecology and Conservation (46 papers), Ecology and Vegetation Dynamics Studies (39 papers) and Rangeland and Wildlife Management (26 papers). William E. Grant collaborates with scholars based in United States, United Kingdom and Mexico. William E. Grant's co-authors include Hsiao‐Hsuan Wang, Elmer C. Birney, Pete D. Teel, Rusty A. Feagin, N. French, Robert L. Lochmiller, Douglas J. Sherman, Colin Hopper, Donna D. Baird and Paul M. Speight and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

William E. Grant

315 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William E. Grant United States 37 2.3k 1.3k 1.1k 1.0k 598 325 5.9k
David M. Bryant United Kingdom 49 3.8k 1.7× 1.2k 0.9× 2.7k 2.5× 730 0.7× 569 1.0× 133 8.2k
Timothy J. Breen United States 18 1.9k 0.8× 1.1k 0.8× 1.0k 1.0× 894 0.9× 455 0.8× 37 6.6k
Jeffrey D. Brawn United States 45 4.4k 1.9× 2.1k 1.6× 2.3k 2.2× 1.2k 1.1× 975 1.6× 143 7.7k
Bruno Walther Taiwan 34 1.6k 0.7× 973 0.8× 736 0.7× 464 0.5× 432 0.7× 91 4.5k
Shane A. Richards Australia 36 2.0k 0.9× 1.5k 1.1× 1.4k 1.3× 902 0.9× 643 1.1× 115 6.1k
Piran C. L. White United Kingdom 50 4.5k 2.0× 961 0.7× 1.1k 1.1× 1.6k 1.6× 1.2k 2.0× 230 9.3k
Peter Brown Australia 35 2.1k 0.9× 724 0.6× 497 0.5× 294 0.3× 705 1.2× 164 5.9k
Guy Beauchamp Canada 49 2.9k 1.3× 710 0.6× 3.8k 3.6× 584 0.6× 1.1k 1.8× 335 9.4k
Frederick R. Adler United States 44 1.0k 0.4× 939 0.7× 1.2k 1.1× 1.2k 1.2× 1.5k 2.6× 136 6.7k
Christopher J. Whelan United States 37 2.8k 1.2× 2.2k 1.7× 2.1k 1.9× 989 1.0× 327 0.5× 125 5.5k

Countries citing papers authored by William E. Grant

Since Specialization
Citations

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

Fields of papers citing papers by William E. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Grant. 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 William E. Grant. The network helps show where William E. Grant may publish in the future.

Co-authorship network of co-authors of William E. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Grant. A scholar is included among the top collaborators of William E. Grant 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 William E. Grant. William E. Grant 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.
Wang, Hsiao‐Hsuan, et al.. (2024). An agent-based model facilitating stakeholder engagement in management of estuaries along the Texas Gulf Coast (USA). MethodsX. 14. 103121–103121. 2 indexed citations
2.
Wang, Ming, Hsiao‐Hsuan Wang, Tomasz E. Koralewski, et al.. (2024). From known to unknown unknowns through pattern-oriented modelling: Driving research towards the Medawar zone. Ecological Modelling. 497. 110853–110853. 3 indexed citations
3.
Barbrook-Johnson, Pete, et al.. (2024). Cross-scale feedbacks and tipping points in aggregated models of socio-ecological systems. Socio-Environmental Systems Modeling. 6. 18616–18616. 2 indexed citations
5.
Wang, Hsiao‐Hsuan, et al.. (2023). Tularemia cases increase in the USA from 2011 through 2019. SHILAP Revista de lepidopterología. 3. 100116–100116. 14 indexed citations
6.
Wang, Hsiao‐Hsuan, William E. Grant, Fateme Zare, et al.. (2023). Scale decisions and good practices in socio-environmental systems modelling: guidance and documentation during problem scoping and model formulation. Socio-Environmental Systems Modeling. 5. 18563–18563. 10 indexed citations
7.
Hüe, Thomas, Hsiao‐Hsuan Wang, William E. Grant, Pete D. Teel, & Adalberto Á. Pérez de León. (2022). Implementation Research for Integrated Tick Control of Rhipicephalus australis (Acari: Ixodidae) Through the Pasture and Cattle Management Method in New Caledonia. Journal of Integrated Pest Management. 13(1). 1 indexed citations
8.
Wang, Hsiao‐Hsuan, et al.. (2022). Increasing Incidence of Spotted Fever Group Rickettsioses in the United States, 2010–2018. Vector-Borne and Zoonotic Diseases. 22(9). 491–497. 15 indexed citations
9.
Wang, Hsiao‐Hsuan, et al.. (2021). Using Data Surveillance to Understand the Rising Incidence of Babesiosis in the United States, 2011–2018. Vector-Borne and Zoonotic Diseases. 21(5). 391–395. 6 indexed citations
10.
11.
Baker, Adam, et al.. (2020). Increasing Incidence of Anaplasmosis in the United States, 2012 Through 2016. Vector-Borne and Zoonotic Diseases. 20(11). 855–859. 15 indexed citations
12.
Wang, Hsiao‐Hsuan, et al.. (2020). Increased Incidence of Ehrlichia chaffeensis Infections in the United States, 2012 Through 2016. Vector-Borne and Zoonotic Diseases. 20(7). 547–550. 12 indexed citations
13.
Grant, William E., et al.. (2016). Strategies to reducing GHG emissions in semi-arid rangelands of Mexico. SHILAP Revista de lepidopterología. 5 indexed citations
14.
Grant, William E., et al.. (2015). Distribución inusual y potencial de la garrapata común del ganado, Rhipicephalus (Boophilus) microplus, en zonas tropicales de alta montaña de los Andes colombianos. 16(2). 75–95. 5 indexed citations
15.
Randklev, Charles R., et al.. (2015). Land Use Relationships for a Rare Freshwater Mussel Species Endemic to Central Texas. Journal of Fish and Wildlife Management. 6(2). 327–337. 17 indexed citations
16.
Grant, William E., et al.. (2013). Bedside reduced lead electroencephalography can be used to make the diagnosis of nonconvulsive status epilepticus in the Emergency department. Journal of Biosensors & Bioelectronics. 1 indexed citations
17.
Grant, William E. & Michael T. Longnecker. (1999). Effect of Subsidized House Cats on California Birds and Rodents. 35. 29–33. 21 indexed citations
18.
Grant, William E., et al.. (1998). INFLUENCE OF RELATIVE ABUNDANCE OF RED IMPORTED FIRE ANTS (SOLENOPSIS INVICTA) ON SMALL MAMMAL CAPTURES. The Southwestern Naturalist. 43(1). 97–100. 12 indexed citations
19.
Grant, William E., et al.. (1997). Ecology and Natural Resource Management: Systems Analysis and Simulation. Wiley eBooks. 373–373. 63 indexed citations
20.
Grant, William E., et al.. (1991). Stapedius tendon ossification: A rare cause of congenital conductive hearing loss. The Journal of Laryngology & Otology. 105(9). 763–764. 16 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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