Anna G. Aguilera

16 total papers · 910 total citations
14 papers, 739 citations indexed

About

Anna G. Aguilera is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Anna G. Aguilera has authored 14 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Nature and Landscape Conservation. Recurrent topics in Anna G. Aguilera's work include Plant and animal studies (8 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Seed Germination and Physiology (4 papers). Anna G. Aguilera is often cited by papers focused on Plant and animal studies (8 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Seed Germination and Physiology (4 papers). Anna G. Aguilera collaborates with scholars based in United States and Netherlands. Anna G. Aguilera's co-authors include Converse Griffith, Chandra R. Polisetty, Eunsuk Kim, Lisa A. Dorn, Johanna Schmitt, Kathleen Donohue, Jeffrey S. Dukes, Peter Alpert, Robin A. Harrington and Johanna Schmitt and has published in prestigious journals such as PLoS ONE, Evolution and BioScience.

In The Last Decade

Anna G. Aguilera

14 papers receiving 715 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anna G. Aguilera 521 335 292 112 69 14 739
I. H. McNaughton 434 0.8× 321 1.0× 285 1.0× 142 1.3× 70 1.0× 20 752
Converse Griffith 547 1.0× 337 1.0× 246 0.8× 158 1.4× 111 1.6× 10 766
Madalin Parepa 391 0.8× 280 0.8× 295 1.0× 63 0.6× 45 0.7× 18 641
R. D. Smith 530 1.0× 296 0.9× 319 1.1× 181 1.6× 45 0.7× 23 836
William G. Eickmeier 364 0.7× 307 0.9× 124 0.4× 155 1.4× 34 0.5× 34 637
I. Ullmann 450 0.9× 344 1.0× 262 0.9× 76 0.7× 19 0.3× 33 701
Petr Zákravský 418 0.8× 283 0.8× 212 0.7× 73 0.7× 145 2.1× 28 653
Chandra R. Polisetty 423 0.8× 310 0.9× 232 0.8× 119 1.1× 96 1.4× 8 636
Lionel G. Klikoff 352 0.7× 368 1.1× 369 1.3× 84 0.8× 39 0.6× 22 730
Danny J. Gustafson 359 0.7× 268 0.8× 338 1.2× 43 0.4× 111 1.6× 26 682

Countries citing papers authored by Anna G. Aguilera

Since Specialization
Citations

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

Fields of papers citing papers by Anna G. Aguilera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna G. Aguilera. 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 Anna G. Aguilera. The network helps show where Anna G. Aguilera may publish in the future.

Co-authorship network of co-authors of Anna G. Aguilera

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

All Works

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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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