Margot W. Kaye

2.4k total citations
56 papers, 1.6k citations indexed

About

Margot W. Kaye is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Margot W. Kaye has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 34 papers in Nature and Landscape Conservation and 19 papers in Ecology. Recurrent topics in Margot W. Kaye's work include Ecology and Vegetation Dynamics Studies (27 papers), Fire effects on ecosystems (25 papers) and Plant Water Relations and Carbon Dynamics (14 papers). Margot W. Kaye is often cited by papers focused on Ecology and Vegetation Dynamics Studies (27 papers), Fire effects on ecosystems (25 papers) and Plant Water Relations and Carbon Dynamics (14 papers). Margot W. Kaye collaborates with scholars based in United States, Australia and Spain. Margot W. Kaye's co-authors include Jason P. Kaye, Dan Binkley, Christine R. Rollinson, Sigrid C. Resh, Rodney A. Chimner, Marshall D. McDaniel, Thomas J. Stohlgren, Peter Z. Fulé, Thomas W. Swetnam and Peter M. Brown and has published in prestigious journals such as Ecology, Global Change Biology and Soil Biology and Biochemistry.

In The Last Decade

Margot W. Kaye

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margot W. Kaye United States 22 979 729 519 406 314 56 1.6k
Chelcy Ford Miniat United States 27 1.3k 1.3× 463 0.6× 496 1.0× 603 1.5× 290 0.9× 74 2.0k
Dian L. Cummings United States 15 1.2k 1.3× 649 0.9× 546 1.1× 392 1.0× 457 1.5× 17 1.9k
Javier E. Silva‐Espejo Peru 22 1.5k 1.5× 1.1k 1.5× 585 1.1× 326 0.8× 350 1.1× 24 2.2k
John Yarie United States 19 843 0.9× 399 0.5× 486 0.9× 574 1.4× 352 1.1× 38 1.4k
Walter Huaraca Huasco United Kingdom 14 983 1.0× 754 1.0× 357 0.7× 222 0.5× 275 0.9× 20 1.5k
F. N. Scatena United States 20 918 0.9× 568 0.8× 518 1.0× 378 0.9× 393 1.3× 33 1.8k
John Hom United States 24 1.3k 1.4× 595 0.8× 538 1.0× 297 0.7× 220 0.7× 48 1.9k
Céline Boisvenue Canada 15 1.4k 1.4× 748 1.0× 514 1.0× 542 1.3× 208 0.7× 21 1.8k
Brian Buma United States 25 1.4k 1.4× 696 1.0× 648 1.2× 386 1.0× 103 0.3× 76 1.9k
Elisabeth Graf Pannatier Switzerland 20 887 0.9× 517 0.7× 331 0.6× 738 1.8× 259 0.8× 43 1.7k

Countries citing papers authored by Margot W. Kaye

Since Specialization
Citations

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

Fields of papers citing papers by Margot W. Kaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot W. Kaye

This figure shows the co-authorship network connecting the top 25 collaborators of Margot W. Kaye. A scholar is included among the top collaborators of Margot W. Kaye 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 Margot W. Kaye. Margot W. Kaye 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.
2.
Kaye, Margot W., et al.. (2024). Allicin and total phenolic content in ramps (Allium tricoccum Ait.) in relation to phenological stage, morphological traits, and harvest location. Biochemical Systematics and Ecology. 115. 104846–104846. 2 indexed citations
3.
Blomdahl, Erika M., et al.. (2022). Drivers of forest change in the Greater Yellowstone Ecosystem. Journal of Vegetation Science. 33(4). 1 indexed citations
4.
Wu, Hong, Zachary D. Miller, Peter Newman, et al.. (2022). Public and manager perceptions about prescribed fire in the Mid-Atlantic, United States. Journal of Environmental Management. 322. 116100–116100. 10 indexed citations
5.
Taylor, Alan H., et al.. (2021). Prescribed fire alters structure and composition of a mid-Atlantic oak forest up to eight years after burning. Fire Ecology. 17(1). 13 indexed citations
6.
Casas, Cecilia, et al.. (2021). Mite density, not diversity, declines with biomass removal in Patagonian woodlands. Applied Soil Ecology. 169. 104242–104242. 5 indexed citations
7.
Taylor, Alan H., et al.. (2021). Simulated fire regimes favor oak and pine but affect carbon stocks in mixed oak forests in Pennsylvania, U.S.A.. Forest Ecology and Management. 494. 119332–119332. 6 indexed citations
8.
Kaye, Margot W., et al.. (2020). Citizen scientists record novel leaf phenology of invasive shrubs in eastern U.S. forests. Biological Invasions. 22(11). 3325–3337. 11 indexed citations
9.
Kaye, Margot W., et al.. (2019). Invasive shrub removal benefits native plants in an eastern deciduous forest of North America. Invasive Plant Science and Management. 12(1). 3–10. 26 indexed citations
10.
Brantley, Susan L., Roman A. DiBiase, T. A. Russo, et al.. (2016). Designing a suite of measurements to understand the critical zone. Earth Surface Dynamics. 4(1). 211–235. 49 indexed citations
11.
Rollinson, Christine R., Margot W. Kaye, & Charles D. Canham. (2015). Interspecific variation in growth responses to climate and competition of five eastern tree species. Ecology. 1 indexed citations
12.
McDaniel, Marshall D., Jason P. Kaye, & Margot W. Kaye. (2014). Do “hot moments” become hotter under climate change? Soil nitrogen dynamics from a climate manipulation experiment in a post-harvest forest. Biogeochemistry. 121(2). 339–354. 16 indexed citations
13.
McDaniel, Marshall D., Jason P. Kaye, Margot W. Kaye, & Mary Ann Bruns. (2013). Climate change interactions affect soil carbon dioxide efflux and microbial functioning in a post-harvest forest. Oecologia. 174(4). 1437–1448. 18 indexed citations
14.
Kaye, Margot W., et al.. (2012). Tree-Ring Growth and Wood Chemistry Response to Manipulated Precipitation Variation for Two Temperate Quercus Species. Tree-Ring Research. 68(1). 17–29. 7 indexed citations
15.
Rollinson, Christine R., Margot W. Kaye, & Laura P. Leites. (2012). Community assembly responses to warming and increased precipitation in an early successional forest. Ecosphere. 3(12). 1–17. 11 indexed citations
16.
Kaye, Margot W.. (2011). Mesoscale synchrony in quaking aspen establishment across the interior western US. Forest Ecology and Management. 262(3). 389–397. 14 indexed citations
17.
Rollinson, Christine R. & Margot W. Kaye. (2011). Experimental warming alters spring phenology of certain plant functional groups in an early successional forest community. Global Change Biology. 18(3). 1108–1116. 63 indexed citations
18.
Kaye, Margot W., et al.. (2001). Landscape-scale dynamics of aspen in Rocky Mountain National Park, Colorado. Digital Commons - USU (Utah State University). 18. 39–46. 2 indexed citations
19.
Brown, Peter M., et al.. (1999). Fire history in Douglas-fir and coast redwood forests at Point Reyes National Seashore, California. Northwest Science. 73(3). 205–216. 23 indexed citations
20.
Kaye, Margot W. & Thomas W. Swetnam. (1999). AN ASSESSMENT OF FIRE, CLIMATE, AND APACHE HISTORY IN THE SACRAMENTO MOUNTAINS, NEW MEXICO. Physical Geography. 20(4). 305–330. 64 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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