Wayne W. Hsu

1.7k total citations
9 papers, 804 citations indexed

About

Wayne W. Hsu is a scholar working on Ecology, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Wayne W. Hsu has authored 9 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 7 papers in Global and Planetary Change and 1 paper in Molecular Biology. Recurrent topics in Wayne W. Hsu's work include Conservation, Biodiversity, and Resource Management (6 papers), Oil Palm Production and Sustainability (5 papers) and Forest Management and Policy (3 papers). Wayne W. Hsu is often cited by papers focused on Conservation, Biodiversity, and Resource Management (6 papers), Oil Palm Production and Sustainability (5 papers) and Forest Management and Policy (3 papers). Wayne W. Hsu collaborates with scholars based in United States, United Kingdom and Malaysia. Wayne W. Hsu's co-authors include Trond H. Larsen, David S. Wilcove, David P. Edwards, Keith C. Hamer, Teegan D. S. Docherty, Mia A. Derhé, Felicity A. Edwards, Suzan Benedick, Paul Woodcock and Chey Vun Khen and has published in prestigious journals such as Global Change Biology, Proceedings of the Royal Society B Biological Sciences and Biological Conservation.

In The Last Decade

Wayne W. Hsu

9 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne W. Hsu United States 8 452 448 376 136 107 9 804
Mia A. Derhé United Kingdom 8 323 0.7× 305 0.7× 253 0.7× 101 0.7× 84 0.8× 11 599
Nárgila Moura Brazil 13 414 0.9× 406 0.9× 549 1.5× 252 1.9× 196 1.8× 17 930
Simon L. Mitchell United Kingdom 12 438 1.0× 358 0.8× 224 0.6× 95 0.7× 66 0.6× 23 738
Joseph E. Hawes United Kingdom 17 364 0.8× 246 0.5× 431 1.1× 205 1.5× 83 0.8× 34 837
Jenny Stott Australia 9 391 0.9× 240 0.5× 307 0.8× 199 1.5× 167 1.6× 9 722
Phil Gibbons Australia 9 311 0.7× 270 0.6× 361 1.0× 133 1.0× 160 1.5× 11 670
Victor Hugo Fonseca Oliveira Brazil 9 168 0.4× 295 0.7× 397 1.1× 191 1.4× 81 0.8× 11 619
Claudia A. Medina Uribe Colombia 12 276 0.6× 336 0.8× 321 0.9× 141 1.0× 139 1.3× 14 623
Sara Contu United Kingdom 4 470 1.0× 432 1.0× 404 1.1× 189 1.4× 347 3.2× 5 1.0k
George Wuerthner United States 9 344 0.8× 236 0.5× 277 0.7× 98 0.7× 123 1.1× 10 692

Countries citing papers authored by Wayne W. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Wayne W. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne W. Hsu

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

All Works

9 of 9 papers shown
1.
Edwards, Felicity A., Trond H. Larsen, David S. Wilcove, et al.. (2016). The impact of logging roads on dung beetle assemblages in a tropical rainforest reserve. Biological Conservation. 205. 85–92. 28 indexed citations
2.
3.
Edwards, David P., Ainhoa Magrach, Paul Woodcock, et al.. (2014). Selective‐logging and oil palm: multitaxon impacts, biodiversity indicators, and trade‐offs for conservation planning. Ecological Applications. 24(8). 2029–2049. 93 indexed citations
4.
Edwards, Felicity A., David P. Edwards, Trond H. Larsen, et al.. (2013). Does logging and forest conversion to oil palm agriculture alter functional diversity in a biodiversity hotspot?. Animal Conservation. 17(2). 163–173. 127 indexed citations
5.
Edwards, David P., James J. Gilroy, Paul Woodcock, et al.. (2013). Land‐sharing versus land‐sparing logging: reconciling timber extraction with biodiversity conservation. Global Change Biology. 20(1). 183–191. 151 indexed citations
6.
Edwards, David P., Paul Woodcock, Felicity A. Edwards, et al.. (2012). Reduced‐impact logging and biodiversity conservation: a case study from Borneo. Ecological Applications. 22(2). 561–571. 57 indexed citations
7.
Fisher, Brendan, et al.. (2011). Cost‐effective conservation: calculating biodiversity and logging trade‐offs in Southeast Asia. Conservation Letters. 4(6). 443–450. 72 indexed citations
8.
Edwards, David P., Trond H. Larsen, Teegan D. S. Docherty, et al.. (2010). Degraded lands worth protecting: the biological importance of Southeast Asia's repeatedly logged forests. Proceedings of the Royal Society B Biological Sciences. 278(1702). 82–90. 265 indexed citations
9.
Kawahara, Akito Y., Isaac S. Winkler, & Wayne W. Hsu. (2006). New Host Records of the Ectoparasitic Biting Midge Forcipomyia (Trichohelea) pectinunguis (Diptera: Ceratopogonidae) on Adult Geometrid Moths (Lepidoptera: Geometridae). Journal of the Kansas Entomological Society. 79(3). 297–300. 2 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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