Waring Trible

657 total citations
10 papers, 369 citations indexed

About

Waring Trible is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Waring Trible has authored 10 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Waring Trible's work include Insect and Arachnid Ecology and Behavior (10 papers), Plant and animal studies (7 papers) and Animal Behavior and Reproduction (5 papers). Waring Trible is often cited by papers focused on Insect and Arachnid Ecology and Behavior (10 papers), Plant and animal studies (7 papers) and Animal Behavior and Reproduction (5 papers). Waring Trible collaborates with scholars based in United States, United Kingdom and Switzerland. Waring Trible's co-authors include Daniel J. C. Kronauer, Sean K. McKenzie, Leonora Olivos-Cisneros, Peter R. Oxley, Benjamin J. Matthews, Jonathan Saragosti, Ni‐Chen Chang, Kenneth G. Ross, Dominic D. Frank and Taylor Hart and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Trends in Ecology & Evolution.

In The Last Decade

Waring Trible

10 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Waring Trible United States	8	281	217	155	144	37	10	369
Leonora Olivos-Cisneros United States	7	179 0.6×	123 0.6×	160 1.0×	105 0.7×	49 1.3×	8	283
Jade Atallah Canada	4	295 1.0×	239 1.1×	294 1.9×	147 1.0×	32 0.9×	4	435
Vikram Chandra United States	8	236 0.8×	188 0.9×	208 1.3×	97 0.7×	30 0.8×	11	369
Aniruddha Mitra India	11	269 1.0×	272 1.3×	129 0.8×	246 1.7×	11 0.3×	19	399
Tuhin S. Chakraborty United States	9	133 0.5×	94 0.4×	252 1.6×	123 0.9×	40 1.1×	11	327
Kazuyo Fujikawa Japan	6	316 1.1×	250 1.2×	226 1.5×	217 1.5×	58 1.6×	6	443
Jennifer M. Tsuruda United States	11	401 1.4×	321 1.5×	152 1.0×	431 3.0×	50 1.4×	13	532
Aide Macias-Muñoz United States	12	161 0.6×	133 0.6×	174 1.1×	132 0.9×	103 2.8×	16	371
Stephanie Biergans Germany	9	159 0.6×	138 0.6×	155 1.0×	124 0.9×	77 2.1×	12	323
Philipp Brand United States	10	191 0.7×	180 0.8×	167 1.1×	162 1.1×	47 1.3×	12	345

Countries citing papers authored by Waring Trible

Since Specialization

Citations

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

Fields of papers citing papers by Waring Trible

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Waring Trible. 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 Waring Trible. The network helps show where Waring Trible may publish in the future.

Co-authorship network of co-authors of Waring Trible

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

All Works

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10 of 10 papers shown

Trible, Waring, et al.. (2025). Static allometries of caste-associated traits vary with genotype but not environment in the clonal raider ant. Proceedings of the National Academy of Sciences. 122(30). e2501716122–e2501716122. 1 indexed citations

Trible, Waring, et al.. (2023). A caste differentiation mutant elucidates the evolution of socially parasitic ants. Current Biology. 33(6). 1047–1058.e4. 12 indexed citations

Hart, Taylor, et al.. (2023). Sparse and stereotyped encoding implicates a core glomerulus for ant alarm behavior. Cell. 186(14). 3079–3094.e17. 16 indexed citations

Trible, Waring & Daniel J. C. Kronauer. (2020). Hourglass Model for Developmental Evolution of Ant Castes. Trends in Ecology & Evolution. 36(2). 100–103. 13 indexed citations

Trible, Waring, Sean K. McKenzie, & Daniel J. C. Kronauer. (2020). Globally invasive populations of the clonal raider ant are derived from Bangladesh. Biology Letters. 16(6). 20200105–20200105. 17 indexed citations

Trible, Waring, DeWayne Shoemaker, & Dietrich Gotzek. (2018). Sociometry of Solenopsis geminata (Hymenoptera: Formicidae) reveals variation in colony-level phenotypes in fire ants. Österreichische Gesellschaft für Entomofaunistik (OEGEF). 26. 47–53. 2 indexed citations

Trible, Waring, Leonora Olivos-Cisneros, Sean K. McKenzie, et al.. (2017). orco Mutagenesis Causes Loss of Antennal Lobe Glomeruli and Impaired Social Behavior in Ants. Cell. 170(4). 727–735.e10. 188 indexed citations

Trible, Waring & Daniel J. C. Kronauer. (2017). Caste development and evolution in ants: it's all about size. Journal of Experimental Biology. 220(1). 53–62. 80 indexed citations

Trible, Waring & Kenneth G. Ross. (2015). Chemical communication of queen supergene status in an ant. Journal of Evolutionary Biology. 29(3). 502–513. 23 indexed citations

10.

Trible, Waring, et al.. (2014). Manipulating tropical fire ants to reduce the coffee berry borer. Ecological Entomology. 39(5). 603–609. 17 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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