P. B. Aeschlimann

1.0k total citations
7 papers, 780 citations indexed

About

P. B. Aeschlimann is a scholar working on Ecology, Evolution, Behavior and Systematics, Immunology and Global and Planetary Change. According to data from OpenAlex, P. B. Aeschlimann has authored 7 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Immunology and 3 papers in Global and Planetary Change. Recurrent topics in P. B. Aeschlimann's work include Animal Behavior and Reproduction (6 papers), Aquaculture disease management and microbiota (3 papers) and Amphibian and Reptile Biology (2 papers). P. B. Aeschlimann is often cited by papers focused on Animal Behavior and Reproduction (6 papers), Aquaculture disease management and microbiota (3 papers) and Amphibian and Reptile Biology (2 papers). P. B. Aeschlimann collaborates with scholars based in Germany and Switzerland. P. B. Aeschlimann's co-authors include M. A. Häberli, Manfred Milinski, Thorsten B. H. Reusch, Thomas Boehm, Joachim Kurtz, Martin Kalbe and K. Mathias Wegner and has published in prestigious journals such as Nature, Proceedings of the Royal Society B Biological Sciences and Behavioral Ecology and Sociobiology.

In The Last Decade

P. B. Aeschlimann

7 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. B. Aeschlimann Germany 7 444 277 266 226 100 7 780
M. A. Häberli Germany 7 444 1.0× 277 1.0× 266 1.0× 226 1.0× 100 1.0× 7 780
Åsa Langefors Sweden 12 358 0.8× 268 1.0× 308 1.2× 350 1.5× 139 1.4× 13 898
Jakob Lohm Sweden 7 242 0.5× 206 0.7× 162 0.6× 289 1.3× 117 1.2× 7 625
Kirsty Worley United Kingdom 14 455 1.0× 396 1.4× 249 0.9× 109 0.5× 48 0.5× 15 822
Victor Apanius United States 18 665 1.5× 219 0.8× 568 2.1× 267 1.2× 87 0.9× 25 1.3k
Héctor Castillo‐Juárez Mexico 20 412 0.9× 710 2.6× 292 1.1× 127 0.6× 47 0.5× 69 1.4k
Simon Yung Wa Sin Hong Kong 17 237 0.5× 272 1.0× 313 1.2× 146 0.6× 59 0.6× 52 803
Stein Are Sæther Norway 19 879 2.0× 695 2.5× 551 2.1× 65 0.3× 204 2.0× 32 1.5k
Alain Jacot Switzerland 21 927 2.1× 293 1.1× 494 1.9× 109 0.5× 188 1.9× 50 1.3k
Irem Sepil United Kingdom 20 536 1.2× 432 1.6× 325 1.2× 148 0.7× 50 0.5× 36 1.1k

Countries citing papers authored by P. B. Aeschlimann

Since Specialization
Citations

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

Fields of papers citing papers by P. B. Aeschlimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. B. Aeschlimann. 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 P. B. Aeschlimann. The network helps show where P. B. Aeschlimann may publish in the future.

Co-authorship network of co-authors of P. B. Aeschlimann

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

All Works

7 of 7 papers shown
1.
Häberli, M. A., P. B. Aeschlimann, & Manfred Milinski. (2005). Sticklebacks benefit from closer predator inspection: an experimental test of risk assessment. Ethology Ecology & Evolution. 17(3). 249–259. 9 indexed citations
2.
Häberli, M. A. & P. B. Aeschlimann. (2004). Male traits influence odour‐based mate choice in the three‐spined stickleback. Journal of Fish Biology. 64(3). 702–710. 14 indexed citations
3.
Kurtz, Joachim, Martin Kalbe, P. B. Aeschlimann, et al.. (2004). Major histocompatibility complex diversity influences parasite resistance and innate immunity in sticklebacks. Proceedings of the Royal Society B Biological Sciences. 271(1535). 197–204. 182 indexed citations
4.
Häberli, M. A. & P. B. Aeschlimann. (2004). Male traits influence odour‐based mate choice in the three‐spined stickleback. Journal of Fish Biology. 64(3). 702–710. 15 indexed citations
5.
Aeschlimann, P. B., M. A. Häberli, Thorsten B. H. Reusch, Thomas Boehm, & Manfred Milinski. (2003). Female sticklebacks Gasterosteus aculeatus use self-reference to optimize MHC allele number during mate selection. Behavioral Ecology and Sociobiology. 54(2). 119–126. 172 indexed citations
6.
Reusch, Thorsten B. H., M. A. Häberli, P. B. Aeschlimann, & Manfred Milinski. (2001). Female sticklebacks count alleles in a strategy of sexual selection explaining MHC polymorphism. Nature. 414(6861). 300–302. 364 indexed citations
7.
Aeschlimann, P. B., M. A. Häberli, & Manfred Milinski. (2000). Threat-sensitive feeding strategy of immature sticklebacks ( Gasterosteus aculeatus ) in response to recent experimental infection with the cestode Schistocephalus solidus. Behavioral Ecology and Sociobiology. 49(1). 1–7. 24 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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