Julia Bilat

538 total citations
18 papers, 375 citations indexed

About

Julia Bilat is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Plant Science. According to data from OpenAlex, Julia Bilat has authored 18 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Julia Bilat's work include Genetic diversity and population structure (5 papers), Plant and animal studies (4 papers) and Spider Taxonomy and Behavior Studies (3 papers). Julia Bilat is often cited by papers focused on Genetic diversity and population structure (5 papers), Plant and animal studies (4 papers) and Spider Taxonomy and Behavior Studies (3 papers). Julia Bilat collaborates with scholars based in Switzerland, United States and Germany. Julia Bilat's co-authors include Sergio Rasmann, Loïc Pellissier, Aurélien Roger, Antoine Guisan, Jean‐Nicolas Pradervand, Nadir Álvarez, Patrice Descombes, Jörg Degenhardt, Ivan Hiltpold and Gaétan Glauser and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ecology and Journal of Experimental Botany.

In The Last Decade

Julia Bilat

16 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Bilat Switzerland	8	187	156	126	110	85	18	375
Lluı́s Serra Spain	7	132 0.7×	87 0.6×	95 0.8×	79 0.7×	54 0.6×	14	359
Eyen Khoo Malaysia	13	167 0.9×	134 0.9×	61 0.5×	203 1.8×	117 1.4×	23	465
Ingrid Nänni South Africa	8	270 1.4×	201 1.3×	110 0.9×	232 2.1×	38 0.4×	9	429
Stephen P. Klassen United States	9	201 1.1×	184 1.2×	134 1.1×	99 0.9×	43 0.5×	9	477
Jamie R. Stavert New Zealand	12	305 1.6×	147 0.9×	193 1.5×	132 1.2×	22 0.3×	15	396
Shun K. Hirota Japan	10	211 1.1×	151 1.0×	41 0.3×	64 0.6×	119 1.4×	53	387
Moria Robinson United States	7	153 0.8×	96 0.6×	119 0.9×	74 0.7×	23 0.3×	12	287
Brus Isua Czechia	10	331 1.8×	138 0.9×	177 1.4×	229 2.1×	44 0.5×	17	556
Frazer Sinclair United Kingdom	10	413 2.2×	190 1.2×	234 1.9×	158 1.4×	33 0.4×	23	530

Countries citing papers authored by Julia Bilat

Since Specialization

Citations

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

Fields of papers citing papers by Julia Bilat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Bilat

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

All Works

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18 of 18 papers shown

Manel, Stéphanie, Jérémy Gauthier, Laura Benestan, et al.. (2025). An enrichment‐based capture method from nuclear environmental DNA presents new opportunities for population genomics: A case study on the common frog. Methods in Ecology and Evolution. 16(6). 1106–1115. 1 indexed citations

Warren, Andrew, et al.. (2025). A New Genus and Species of Crambinae (Pyraloidea: Crambidae) with Brachypterous Females from Colorado, U.S.A.. Journal of the Lepidopterists’ Society. 79(2).

Gauthier, Jérémy, et al.. (2024). Museomics of Carabus giant ground beetles shows an Oligocene origin and in situ alpine diversification. SHILAP Revista de lepidopterología. 4.

Brabec, Jan, Jérémy Gauthier, Oliver M. Selz, et al.. (2024). Testing the radiation cascade in postglacial radiations of whitefish and their parasites: founder events and host ecology drive parasite evolution. Evolution Letters. 8(5). 706–718. 2 indexed citations

Landry, Bernard, Julia Bilat, M. Alma Solís, et al.. (2023). The identity of Argyria lacteella (Fabricius, 1794) (Lepidoptera, Pyraloidea, Crambinae), synonyms, and related species revealed by morphology and DNA capture in type specimens. ZooKeys. 1146. 1–42. 2 indexed citations

Gauthier, Jérémy, et al.. (2023). Museomics reveals evolutionary history of Oreina alpine leaf beetles (Coleoptera: Chrysomelidae). Systematic Entomology. 48(4). 658–671. 2 indexed citations

Pekár, Stano, et al.. (2023). Dynamic evolution of size and colour in the highly specialized Zodarion ant-eating spiders. Proceedings of the Royal Society B Biological Sciences. 290(2004). 20230797–20230797. 4 indexed citations

Pavlek, Martina, et al.. (2022). Life-history traits drive spatial genetic structuring in Dinaric cave spiders. Frontiers in Ecology and Evolution. 10. 7 indexed citations

Toussaint, Emmanuel F. A., Jérémy Gauthier, Julia Bilat, et al.. (2021). HyRAD-X Exome Capture Museomics Unravels Giant Ground Beetle Evolution. Genome Biology and Evolution. 13(7). 15 indexed citations

10.

Pekár, Stano, et al.. (2020). Poor performance of DNA barcoding and the impact of RAD loci filtering on the species delimitation of an Iberian ant-eating spider. Molecular Phylogenetics and Evolution. 154. 106997–106997. 21 indexed citations

11.

Bétrisey, Sébastien, et al.. (2020). Glacial relicts in the Alps: the decline and conservation strategy for Nuphar pumila (Nymphaeaceae). Alpine Botany. 130(1). 89–99. 4 indexed citations

12.

Descombes, Patrice, Jean‐Nicolas Pradervand, Julia Bilat, et al.. (2016). Community‐level plant palatability increases with elevation as insect herbivore abundance declines. Journal of Ecology. 105(1). 142–151. 73 indexed citations

13.

Arrigo, Nils, et al.. (2016). Hybridization as a threat in climate relict Nuphar pumila (Nymphaeaceae). Biodiversity and Conservation. 25(10). 1863–1877. 14 indexed citations

14.

Rasmann, Sergio, et al.. (2015). Trade-off between constitutive and inducible resistance against herbivores is only partially explained by gene expression and glucosinolate production. Journal of Experimental Botany. 66(9). 2527–2534. 39 indexed citations

15.

Pellissier, Loïc, Aurélien Roger, Julia Bilat, & Sergio Rasmann. (2014). High elevation Plantago lanceolata plants are less resistant to herbivory than their low elevation conspecifics: is it just temperature?. Ecography. 37(10). 950–959. 90 indexed citations

16.

Rochat, Bertrand, et al.. (2014). A Close Look at the Fate of Compounds we are Exposed to. CHIMIA International Journal for Chemistry. 68(11). 818–818. 1 indexed citations

17.

Robert, Christelle A. M., Matthias Erb, Ivan Hiltpold, et al.. (2013). Genetically engineered maize plants reveal distinct costs and benefits of constitutive volatile emissions in the field. Plant Biotechnology Journal. 11(5). 628–639. 84 indexed citations

18.

Pellissier, Loïc, Julia Bilat, Gregory Brazzola, et al.. (2011). Adaptive colour polymorphism of Acrida ungarica H. (Orthoptera: Acrididae) in a spatially heterogeneous environment. Acta Oecologica. 37(2). 93–98. 16 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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