Eric S. Nagy

687 total citations
12 papers, 510 citations indexed

About

Eric S. Nagy is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Genetics. According to data from OpenAlex, Eric S. Nagy has authored 12 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Nature and Landscape Conservation and 5 papers in Genetics. Recurrent topics in Eric S. Nagy's work include Plant and animal studies (8 papers), Genetic diversity and population structure (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Eric S. Nagy is often cited by papers focused on Plant and animal studies (8 papers), Genetic diversity and population structure (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Eric S. Nagy collaborates with scholars based in United States and Brazil. Eric S. Nagy's co-authors include Kevin J. Rice, Peter Arzberger, John H. Porter, Paul C. Hanson, Scott L. Collins, Timothy K. Kratz, Laura F. Galloway, Adam P. Summers, Edna G. Fernández-Figueroa and Ian Billick and has published in prestigious journals such as Evolution, BioScience and American Journal of Botany.

In The Last Decade

Eric S. Nagy

11 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric S. Nagy United States 9 236 197 180 147 106 12 510
M.G.P. van Veller Netherlands 13 198 0.8× 184 0.9× 80 0.4× 120 0.8× 107 1.0× 25 559
Jeffrey A. Joseph United Kingdom 12 217 0.9× 180 0.9× 127 0.7× 216 1.5× 67 0.6× 18 707
Simon Maccracken Stump United States 13 312 1.3× 324 1.6× 174 1.0× 170 1.2× 172 1.6× 20 648
Lisa O’Connell Canada 12 369 1.6× 310 1.6× 257 1.4× 208 1.4× 99 0.9× 26 604
Marie‐Hélène Chevallier France 8 262 1.1× 235 1.2× 156 0.9× 388 2.6× 146 1.4× 19 649
Matthew J. Larcombe New Zealand 14 185 0.8× 224 1.1× 126 0.7× 110 0.7× 132 1.2× 38 502
Jessica J. Kuang United States 5 272 1.2× 266 1.4× 72 0.4× 144 1.0× 204 1.9× 5 518
Chuliang Song United States 14 298 1.3× 218 1.1× 88 0.5× 128 0.9× 144 1.4× 26 497
Marié Warren South Africa 7 173 0.7× 151 0.8× 82 0.5× 118 0.8× 155 1.5× 13 413
Shingo Kaneko Japan 12 206 0.9× 97 0.5× 191 1.1× 268 1.8× 134 1.3× 89 589

Countries citing papers authored by Eric S. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Nagy. 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 Eric S. Nagy. The network helps show where Eric S. Nagy may publish in the future.

Co-authorship network of co-authors of Eric S. Nagy

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

All Works

12 of 12 papers shown
1.
Wilson, Alan E., Ian Billick, Carmen R. Domingo, et al.. (2018). Assessing Science Training Programs: Structured Undergraduate Research Programs Make a Difference. BioScience. 68(7). 529–534. 38 indexed citations
2.
Stafford, Susan G., et al.. (2014). Opportunities Abound: A Call for Leadership in the Life Sciences. BioScience. 65(1). 14–20.
3.
Porter, John H., Eric S. Nagy, Timothy K. Kratz, et al.. (2009). New Eyes on the World: Advanced Sensors for Ecology. BioScience. 59(5). 385–397. 105 indexed citations
4.
Rice, Kevin J. & Eric S. Nagy. (2000). Oak canopy effects on the distribution patterns of two annual grasses: the role of competition and soil nutrients. American Journal of Botany. 87(11). 1699–1706. 31 indexed citations
5.
Nagy, Eric S., et al.. (1999). Contribution of Delayed Autonomous Selfing to Reproductive Success in Mountain Laurel, Kalmia latifolia (Ericaceae). The American Midland Naturalist. 142(1). 39–46. 25 indexed citations
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8.
Nagy, Eric S.. (1997). SELECTION FOR NATIVE CHARACTERS IN HYBRIDS BETWEEN TWO LOCALLY ADAPTED PLANT SUBSPECIES. Evolution. 51(5). 1469–1480. 95 indexed citations
9.
Nagy, Eric S. & Kevin J. Rice. (1997). LOCAL ADAPTATION IN TWO SUBSPECIES OF AN ANNUAL PLANT: IMPLICATIONS FOR MIGRATION AND GENE FLOW. Evolution. 51(4). 1079–1089. 110 indexed citations
10.
Nagy, Eric S. & Kevin J. Rice. (1997). Local Adaptation in Two Subspecies of an Annual Plant: Implications for Migration and Gene Flow. Evolution. 51(4). 1079–1079. 39 indexed citations
11.
Nagy, Eric S.. (1997). Selection for Native Characters in Hybrids Between Two Locally Adapted Plant Subspecies. Evolution. 51(5). 1469–1469. 33 indexed citations
12.
Zimmerman, Michael J., Eric S. Nagy, & Laura F. Galloway. (1987). Nectar dispersion patterns in three Australian plant species. Australian Journal of Ecology. 12(2). 183–188. 4 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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