T. D. Redhead

425 total citations
11 papers, 330 citations indexed

About

T. D. Redhead is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. D. Redhead has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 3 papers in Genetics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. D. Redhead's work include Animal Ecology and Behavior Studies (8 papers), Wildlife Ecology and Conservation (4 papers) and Meat and Animal Product Quality (2 papers). T. D. Redhead is often cited by papers focused on Animal Ecology and Behavior Studies (8 papers), Wildlife Ecology and Conservation (4 papers) and Meat and Animal Product Quality (2 papers). T. D. Redhead collaborates with scholars based in Australia. T. D. Redhead's co-authors include Grant R. Singleton, Mary Bomford, Michael F. Hutchinson, Daniel P. Faith, Chris Margules, Olivier Pouliquen, Michelle R. Leishman, B. S. Goodrich and Pamela R Pennycuik and has published in prestigious journals such as Oikos, Canadian Journal of Zoology and Journal of Chemical Ecology.

In The Last Decade

T. D. Redhead

11 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. D. Redhead Australia 9 248 115 62 43 36 11 330
Gerald D. Lindsey United States 12 289 1.2× 83 0.7× 71 1.1× 29 0.7× 75 2.1× 26 345
Claude Mermod Switzerland 10 292 1.2× 73 0.6× 51 0.8× 43 1.0× 64 1.8× 26 358
José L. Yáñez Chile 10 375 1.5× 134 1.2× 108 1.7× 57 1.3× 44 1.2× 16 443
M. Bomford United States 6 290 1.2× 103 0.9× 42 0.7× 38 0.9× 60 1.7× 11 357
F. Reitz France 12 386 1.6× 124 1.1× 97 1.6× 42 1.0× 37 1.0× 14 437
Joanna Babińska-Werka Poland 14 426 1.7× 123 1.1× 109 1.8× 19 0.4× 53 1.5× 24 487
Alicia V. Linzey United States 14 353 1.4× 129 1.1× 111 1.8× 39 0.9× 68 1.9× 32 468
Robert J. Wolton United Kingdom 8 291 1.2× 119 1.0× 154 2.5× 26 0.6× 20 0.6× 11 363
Juhani Ojasti Venezuela 6 216 0.9× 56 0.5× 54 0.9× 27 0.6× 15 0.4× 9 328
John McLennan New Zealand 8 213 0.9× 78 0.7× 33 0.5× 26 0.6× 37 1.0× 24 283

Countries citing papers authored by T. D. Redhead

Since Specialization
Citations

This map shows the geographic impact of T. D. Redhead'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 T. D. Redhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. D. Redhead more than expected).

Fields of papers citing papers by T. D. Redhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. D. Redhead. 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 T. D. Redhead. The network helps show where T. D. Redhead may publish in the future.

Co-authorship network of co-authors of T. D. Redhead

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

All Works

11 of 11 papers shown
1.
Margules, Chris, T. D. Redhead, Daniel P. Faith, & Michael F. Hutchinson. (1995). Guidelines for using the BioRap methodology and tools. 44 indexed citations
2.
Goodrich, B. S., et al.. (1990). Volatiles from feces of wild male house mice. Journal of Chemical Ecology. 16(7). 2091–2106. 11 indexed citations
3.
Singleton, Grant R. & T. D. Redhead. (1990). Future prospects for biological control of rodents using micro- and macro-parasites.. 75–82. 6 indexed citations
4.
Pouliquen, Olivier, Michelle R. Leishman, & T. D. Redhead. (1990). Effects of radio collars on wild mice, Mus domesticus. Canadian Journal of Zoology. 68(7). 1607–1609. 28 indexed citations
5.
Singleton, Grant R. & T. D. Redhead. (1990). Structure and biology of house mouse populations that plague irregularly: an evolutionary perspective. Biological Journal of the Linnean Society. 41(1-3). 285–300. 86 indexed citations
6.
Goodrich, B. S., et al.. (1990). Volatile compounds from excreta of laboratory mice (Mus musculus). Journal of Chemical Ecology. 16(7). 2107–2120. 10 indexed citations
7.
Redhead, T. D. & Grant R. Singleton. (1988). The PICA Strategy for the prevention of losses caused by plagues of Mus domesticus in rural Australia1. EPPO Bulletin. 18(2). 237–248. 22 indexed citations
8.
Bomford, Mary & T. D. Redhead. (1987). A Field Experiment to Examine the Effects of Food Quality and Population Density on Reproduction of Wild House Mice. Oikos. 48(3). 304–304. 55 indexed citations
9.
Redhead, T. D.. (1980). A relationship between rainfall and rat damage to sugar-cane in north Queensland.. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 37(2). 181–188. 3 indexed citations
10.
Redhead, T. D., et al.. (1980). Evaluation of thallium sulphate baits against rats in Queensland (Australia) sugar-cane fields adjacent to different vegetation types.. 2(1). 1–19. 8 indexed citations
11.
Redhead, T. D.. (1979). On the demography of Rattus sordidus colletti in monsoonal Australia. Austral Ecology. 4(1). 115–136. 57 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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