Daniel U. Greene

503 total citations
35 papers, 365 citations indexed

About

Daniel U. Greene is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Daniel U. Greene has authored 35 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 14 papers in Nature and Landscape Conservation and 12 papers in Ecological Modeling. Recurrent topics in Daniel U. Greene's work include Wildlife Ecology and Conservation (19 papers), Animal Ecology and Behavior Studies (15 papers) and Ecology and Vegetation Dynamics Studies (13 papers). Daniel U. Greene is often cited by papers focused on Wildlife Ecology and Conservation (19 papers), Animal Ecology and Behavior Studies (15 papers) and Ecology and Vegetation Dynamics Studies (13 papers). Daniel U. Greene collaborates with scholars based in United States, South Africa and Eswatini. Daniel U. Greene's co-authors include Robert A. McCleery, Robert J. Fletcher, Michael A. Mares, Janet K. Braun, Adia R. Sovie, Elina P. Garrison, J. Gore, Justin Lack, Ronald A. Van Den Bussche and Chris J. Conroy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecular Ecology.

In The Last Decade

Daniel U. Greene

31 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel U. Greene United States 11 276 126 125 77 73 35 365
Gianpasquale Chiatante Italy 12 290 1.1× 105 0.8× 123 1.0× 34 0.4× 85 1.2× 45 362
Andrew Carter Australia 10 235 0.9× 166 1.3× 88 0.7× 67 0.9× 71 1.0× 14 323
Jenő J. Purger Hungary 11 289 1.0× 85 0.7× 84 0.7× 60 0.8× 87 1.2× 69 365
Dan Harley Australia 14 236 0.9× 73 0.6× 94 0.8× 100 1.3× 48 0.7× 35 331
Sergio Vignali Switzerland 7 195 0.7× 79 0.6× 196 1.6× 38 0.5× 59 0.8× 9 296
Paige E. Howell United States 11 209 0.8× 82 0.7× 92 0.7× 35 0.5× 55 0.8× 29 301
K. Brennan Australia 6 352 1.3× 106 0.8× 122 1.0× 97 1.3× 70 1.0× 7 416
A. Gunn United Kingdom 2 245 0.9× 147 1.2× 81 0.6× 67 0.9× 50 0.7× 5 340
Marieke Lettink New Zealand 13 300 1.1× 85 0.7× 186 1.5× 79 1.0× 107 1.5× 19 405
Rick Dawson Australia 11 323 1.2× 136 1.1× 57 0.5× 54 0.7× 61 0.8× 35 410

Countries citing papers authored by Daniel U. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Daniel U. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel U. Greene. 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 Daniel U. Greene. The network helps show where Daniel U. Greene may publish in the future.

Co-authorship network of co-authors of Daniel U. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel U. Greene. A scholar is included among the top collaborators of Daniel U. Greene 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 Daniel U. Greene. Daniel U. Greene 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.
Greene, Daniel U., et al.. (2025). Understory plant community responses following herbicide application in loblolly pine (Pinus taeda L.) stands. Forest Ecology and Management. 585. 122617–122617.
2.
Loehle, Craig, et al.. (2025). Evaluating open canopy conditions from forest management on biodiversity. Forestry An International Journal of Forest Research. 99(2).
3.
Gandhi, Kamal J.K., et al.. (2025). Disentangling winter relationships: Bat responses to forest stand structure, environmental conditions, and prey composition. Forest Ecology and Management. 578. 122484–122484.
4.
Greene, Daniel U., et al.. (2024). Wild bee community responses to forest herbicide treatments in planted loblolly pine (Pinus taeda L.) stands. Forest Ecology and Management. 572. 122332–122332. 3 indexed citations
5.
Greene, Daniel U., et al.. (2023). Stand stage affects wild bee communities in working pine forests. Forest Ecology and Management. 545. 121247–121247. 10 indexed citations
6.
Fandós, Guillermo, et al.. (2023). Bat winter foraging habitat use in working forests: a multispecies spatial occupancy approach. Animal Conservation. 27(4). 478–491. 3 indexed citations
7.
Evans, Kristine O., et al.. (2023). Effects of spatial patterning within working pine forests on priority avian species in Mississippi. Landscape Ecology. 38(8). 2019–2034. 2 indexed citations
8.
Greene, Daniel U., et al.. (2020). A comparison of animal color measurements using a commercially available digital color sensor and photograph analysis. Current Zoology. 66(6). 601–606. 10 indexed citations
9.
Greene, Daniel U., et al.. (2020). Ecological Drivers of Eastern Fox Squirrel Pelage Polymorphism. Frontiers in Ecology and Evolution. 8. 8 indexed citations
10.
Ray, James D., et al.. (2019). Nest survival data confirm managed housing is an important component to the conservation of the eastern purple martin. SHILAP Revista de lepidopterología. 43(1). 93–101. 9 indexed citations
11.
Sovie, Adia R., et al.. (2019). Ephemeral temporal partitioning may facilitate coexistence in competing species. Animal Behaviour. 150. 87–96. 14 indexed citations
12.
Greene, Daniel U., et al.. (2018). Differentiating Footprints of Sympatric Rodents in Coastal Dune Communities: Implications for Imperiled Beach Mice. Journal of Fish and Wildlife Management. 9(2). 593–601. 4 indexed citations
13.
Austin, James D., Daniel U. Greene, Rodney L. Honeycutt, & Robert A. McCleery. (2018). Genetic evidence indicates ecological divergence rather than geographic barriers structure Florida fox squirrels. Journal of Mammalogy. 1 indexed citations
14.
Fritts, Sarah R., Christopher E. Moorman, Steven M. Grodsky, et al.. (2017). Rodent response to harvesting woody biomass for bioenergy production. Journal of Wildlife Management. 81(7). 1170–1178. 13 indexed citations
15.
Greene, Daniel U., et al.. (2016). A Comparison of Four Survey Methods for Detecting Fox Squirrels in the Southeastern United States. Journal of Fish and Wildlife Management. 7(1). 99–106. 27 indexed citations
16.
McCleery, Robert A., et al.. (2016). Evaluating citizen vs. professional data for modelling distributions of a rare squirrel. Journal of Applied Ecology. 54(2). 628–637. 36 indexed citations
17.
Greene, Daniel U., et al.. (2015). Using camera‐trap photographs to identify individual fox squirrels ( Sciurus niger ) in the Southeastern United States. SHILAP Revista de lepidopterología. 39(3). 645–650. 16 indexed citations
18.
19.
Greene, Daniel U., Steven B. Castleberry, & Michael T. Mengak. (2013). A methodology for long‐term population monitoring of the endangered key largo cotton mouse. SHILAP Revista de lepidopterología. 37(2). 368–374. 4 indexed citations
20.
Lack, Justin, Daniel U. Greene, Chris J. Conroy, et al.. (2012). Invasion facilitates hybridization with introgression in the Rattus rattus species complex. Molecular Ecology. 21(14). 3545–3561. 47 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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