Iris Biebach

1.0k total citations
17 papers, 570 citations indexed

About

Iris Biebach is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Iris Biebach has authored 17 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Ecology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Iris Biebach's work include Genetic and phenotypic traits in livestock (10 papers), Genetic diversity and population structure (9 papers) and Wildlife Ecology and Conservation (6 papers). Iris Biebach is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic diversity and population structure (9 papers) and Wildlife Ecology and Conservation (6 papers). Iris Biebach collaborates with scholars based in Switzerland, Spain and Italy. Iris Biebach's co-authors include Lukas F. Keller, Christine Grossen, Daniel Croll, Georg Heine, Jesko Partecke, Claudio Bozzuto, Samer Angelone, Anthony R. Ives, Stefanie Muff and Herbert Biebach and has published in prestigious journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Molecular Ecology.

In The Last Decade

Iris Biebach

17 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iris Biebach Switzerland	12	350	304	118	58	55	17	570
Belinda Wright Australia	14	282 0.8×	304 1.0×	57 0.5×	120 2.1×	37 0.7×	33	605
Barbara Crestanello Italy	12	395 1.1×	266 0.9×	55 0.5×	83 1.4×	23 0.4×	18	560
Jamie A. Ivy United States	16	440 1.3×	299 1.0×	112 0.9×	127 2.2×	36 0.7×	33	723
Szilvia Kusza Hungary	17	563 1.6×	152 0.5×	100 0.8×	88 1.5×	116 2.1×	95	802
Courtney A. C. Coon United States	13	127 0.4×	322 1.1×	191 1.6×	68 1.2×	25 0.5×	17	608
Stuart K. J. R. Auld United Kingdom	14	295 0.8×	214 0.7×	113 1.0×	49 0.8×	18 0.3×	21	600
Laura Iacolina Italy	18	662 1.9×	471 1.5×	77 0.7×	148 2.6×	117 2.1×	48	981
James R. Heffelfinger United States	16	344 1.0×	464 1.5×	61 0.5×	79 1.4×	33 0.6×	42	741
Gono Semiadi Indonesia	13	218 0.6×	265 0.9×	51 0.4×	85 1.5×	104 1.9×	69	535
María do Mar Oom Portugal	16	422 1.2×	134 0.4×	71 0.6×	87 1.5×	45 0.8×	32	660

Countries citing papers authored by Iris Biebach

Since Specialization

Citations

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

Fields of papers citing papers by Iris Biebach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Biebach

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

All Works

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17 of 17 papers shown

Brambilla, Alice, Glauco Camenisch, Iris Biebach, et al.. (2021). A robust sequencing assay of a thousand amplicons for the high‐throughput population monitoring of Alpine ibex immunogenetics. Molecular Ecology Resources. 22(1). 66–85. 6 indexed citations

Bozzuto, Claudio, Iris Biebach, Stefanie Muff, Anthony R. Ives, & Lukas F. Keller. (2019). Inbreeding reduces long-term growth of Alpine ibex populations. Nature Ecology & Evolution. 3(9). 1359–1364. 61 indexed citations

Angelone, Samer, Iris Biebach, Jesús M. Pérez, Ramón C. Soriguer, & José Enrique Granados. (2017). Molecular Analyses Reveal Unexpected Genetic Structure in Iberian Ibex Populations. PLoS ONE. 12(1). e0170827–e0170827. 13 indexed citations

Grossen, Christine, Iris Biebach, Samer Angelone, Lukas F. Keller, & Daniel Croll. (2017). Population genomics analyses of European ibex species show lower diversity and higher inbreeding in reintroduced populations. Evolutionary Applications. 11(2). 123–139. 47 indexed citations

Lenstra, Johannes A., Iris Biebach, Jón Hallsteinn Hallsson, et al.. (2016). Microsatellite diversity of the Nordic type of goats in relation to breed conservation: how relevant is pure ancestry?. Journal of Animal Breeding and Genetics. 134(1). 78–84. 23 indexed citations

Balkenhol, Niko, Iris Biebach, Janine Bolliger, et al.. (2016). Naturschutzgenetik: Ein Handbuch für die Praxis. 2 indexed citations

Grossen, Christine, Lukas F. Keller, Iris Biebach, & Daniel Croll. (2014). Introgression from Domestic Goat Generated Variation at the Major Histocompatibility Complex of Alpine Ibex. PLoS Genetics. 10(6). e1004438–e1004438. 79 indexed citations

Willisch, Christian S., Iris Biebach, Nelson Marreros, Marie‐Pierre Ryser‐Degiorgis, & Peter Neuhaus. (2014). Horn Growth and Reproduction in a Long-Lived Male Mammal: No Compensation for Poor Early-Life Horn Growth. Evolutionary Biology. 42(1). 1–11. 14 indexed citations

Brambilla, Alice, Iris Biebach, Bruno Bassano, Giuseppe Bogliani, & Achaz von Hardenberg. (2014). Direct and indirect causal effects of heterozygosity on fitness-related traits in Alpine ibex. Proceedings of the Royal Society B Biological Sciences. 282(1798). 20141873–20141873. 31 indexed citations

10.

Biebach, Iris & Lukas F. Keller. (2012). Genetic variation depends more on admixture than number of founders in reintroduced Alpine ibex populations. Biological Conservation. 147(1). 197–203. 39 indexed citations

11.

Joost, Stéphane, Licia Colli, Aurélie Bonin, et al.. (2011). Promoting collaboration between livestock and wildlife conservation genetics communities. Conservation Genetics Resources. 3(4). 785–788. 7 indexed citations

12.

Alasaad, Samer, Iris Biebach, Christine Grossen, et al.. (2011). Microsatellite-based genotyping of MHC class II DRB1 gene in Iberian and Alpine ibex. European Journal of Wildlife Research. 58(4). 743–748. 9 indexed citations

13.

Willisch, Christian S., Iris Biebach, Thomas Bücher, et al.. (2011). Male reproductive pattern in a polygynous ungulate with a slow life-history: the role of age, social status and alternative mating tactics. Evolutionary Ecology. 26(1). 187–206. 53 indexed citations

14.

Biebach, Iris & Lukas F. Keller. (2009). A strong genetic footprint of the re‐introduction history of Alpine ibex (Capra ibex ibex). Molecular Ecology. 18(24). 5046–5058. 67 indexed citations

15.

Biebach, Iris & Lukas F. Keller. (2009). Inbreeding in reintroduced populations: the effects of early reintroduction history and contemporary processes. Conservation Genetics. 11(2). 527–538. 39 indexed citations

16.

Keller, Lukas F., Iris Biebach, & Paquita E. A. Hoeck. (2007). The need for a better understanding of inbreeding effects on population growth. Animal Conservation. 10(3). 286–287. 10 indexed citations

17.

Biebach, Herbert, et al.. (2000). Strategies of passerine migration across the Mediterranean Sea and the Sahara Desert: a radar study. Ibis. 142(4). 623–634. 70 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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