Chandra Earl

591 total citations
9 papers, 243 citations indexed

About

Chandra Earl is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Chandra Earl has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Genetics and 2 papers in Nature and Landscape Conservation. Recurrent topics in Chandra Earl's work include Plant and animal studies (6 papers), Lepidoptera: Biology and Taxonomy (6 papers) and Entomological Studies and Ecology (2 papers). Chandra Earl is often cited by papers focused on Plant and animal studies (6 papers), Lepidoptera: Biology and Taxonomy (6 papers) and Entomological Studies and Ecology (2 papers). Chandra Earl collaborates with scholars based in United States, Australia and Japan. Chandra Earl's co-authors include Akito Y. Kawahara, Jesse W. Breinholt, Emily Moriarty Lemmon, Alan R. Lemmon, Lei Xiao, Andrew Warren, Marianne Espeland, Naomi E. Pierce, David J. Lohman and Robert Guralnick and has published in prestigious journals such as PLoS ONE, The American Naturalist and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Chandra Earl

9 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chandra Earl United States	7	167	162	57	44	40	9	243
Masaya Yago Japan	10	190 1.1×	166 1.0×	40 0.7×	34 0.8×	45 1.1×	36	274
Katja Kramp Germany	11	132 0.8×	228 1.4×	33 0.6×	41 0.9×	37 0.9×	35	302
Marie Djernæs Denmark	9	292 1.7×	299 1.8×	44 0.8×	34 0.8×	18 0.5×	20	370
Devon A. DeRaad United States	8	138 0.8×	76 0.5×	54 0.9×	50 1.1×	28 0.7×	25	217
Noemy Seraphim Brazil	9	186 1.1×	211 1.3×	37 0.6×	59 1.3×	52 1.3×	17	277
Ryan A. St Laurent United States	8	308 1.8×	302 1.9×	40 0.7×	71 1.6×	33 0.8×	43	365
Natalia C. García Argentina	8	105 0.6×	123 0.8×	26 0.5×	38 0.9×	33 0.8×	18	227
Dayong Xue China	11	260 1.6×	194 1.2×	83 1.5×	62 1.4×	34 0.8×	49	325
Blanca Huertas United Kingdom	10	201 1.2×	205 1.3×	22 0.4×	91 2.1×	50 1.3×	37	309
Klemen Čandek Slovenia	9	222 1.3×	118 0.7×	102 1.8×	31 0.7×	25 0.6×	20	342

Countries citing papers authored by Chandra Earl

Since Specialization

Citations

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

Fields of papers citing papers by Chandra Earl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Earl

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

All Works

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9 of 9 papers shown

Bellantuono, Anthony J., Caroline Storer, Andrew J. Mongue, et al.. (2024). Day–night gene expression reveals circadian gene disco as a candidate for diel-niche evolution in moths. Proceedings of the Royal Society B Biological Sciences. 291(2029). 20240591–20240591. 1 indexed citations

Abarca, Mariana, Elise A. Larsen, James Umbanhowar, et al.. (2024). How development and survival combine to determine the thermal sensitivity of insects. PLoS ONE. 19(1). e0291393–e0291393. 8 indexed citations

Earl, Chandra, et al.. (2024). Phylogeny and divergence time estimation of Io moths and relatives (Lepidoptera: Saturniidae: Automeris). PeerJ. 12. e17365–e17365. 2 indexed citations

Earl, Chandra, Michael W. Belitz, Shawn W. Laffan, et al.. (2021). Spatial phylogenetics of butterflies in relation to environmental drivers and angiosperm diversity across North America. iScience. 24(4). 102239–102239. 28 indexed citations

Li, Xuankun, Ryan A. St Laurent, Chandra Earl, et al.. (2021). Phylogeny of gracillariid leaf‐mining moths: evolution of larval behaviour inferred from phylogenomic and Sanger data. Cladistics. 38(3). 277–300. 20 indexed citations

Laurent, Ryan A. St, et al.. (2021). Food Plant Shifts Drive the Diversification of Sack-Bearer Moths. The American Naturalist. 198(5). E170–E184. 6 indexed citations

Toussaint, Emmanuel F. A., Jesse W. Breinholt, Chandra Earl, et al.. (2018). Anchored phylogenomics illuminates the skipper butterfly tree of life. BMC Evolutionary Biology. 18(1). 101–101. 48 indexed citations

Breinholt, Jesse W., Chandra Earl, Alan R. Lemmon, et al.. (2017). Resolving Relationships among the Megadiverse Butterflies and Moths with a Novel Pipeline for Anchored Phylogenomics. Systematic Biology. 67(1). 78–93. 123 indexed citations

Mukherjee, Krishanu, et al.. (2015). Evolution of a Novel Antiviral Immune-Signaling Interaction by Partial-Gene Duplication. PLoS ONE. 10(9). e0137276–e0137276. 7 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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