Katja Prelle

65 total papers · 2.8k total citations
50 papers, 2.1k citations indexed

About

Katja Prelle is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Katja Prelle has authored 50 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 25 papers in Molecular Biology and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Katja Prelle's work include Reproductive Biology and Fertility (19 papers), Animal Genetics and Reproduction (16 papers) and Pluripotent Stem Cells Research (13 papers). Katja Prelle is often cited by papers focused on Reproductive Biology and Fertility (19 papers), Animal Genetics and Reproduction (16 papers) and Pluripotent Stem Cells Research (13 papers). Katja Prelle collaborates with scholars based in Germany, Austria and United States. Katja Prelle's co-authors include Eckhard Wolf, Miodrag Stojković, Г. Брем, Hendrik Wenigerkind, Valeri Zakhartchenko, Wolfgang Schernthaner, Fred Sinowatz, Ralf Einspanier, Helmut Blum and Stefan Bauersachs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Katja Prelle

49 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katja Prelle 1.2k 938 936 358 307 50 2.1k
David W. Silversides 1.2k 1.0× 981 1.0× 436 0.5× 368 1.0× 297 1.0× 72 2.5k
Dori C. Woods 1.3k 1.1× 454 0.5× 1.4k 1.5× 692 1.9× 193 0.6× 63 2.4k
Sung Keun Kang 1.5k 1.3× 786 0.8× 1.4k 1.5× 821 2.3× 100 0.3× 49 2.5k
Derek Boerboom 1.4k 1.1× 826 0.9× 1.1k 1.1× 870 2.4× 387 1.3× 91 3.0k
D. M. Robertson 983 0.8× 471 0.5× 541 0.6× 732 2.0× 279 0.9× 77 2.3k
David G. Mottershead 1.5k 1.3× 386 0.4× 1.6k 1.7× 741 2.1× 220 0.7× 50 2.5k
P. L. Kaye 906 0.8× 402 0.4× 923 1.0× 257 0.7× 139 0.5× 49 1.8k
Claire Glister 1.2k 1.0× 495 0.5× 1.8k 1.9× 784 2.2× 583 1.9× 27 2.6k
Jennifer H. Dorrington 773 0.7× 705 0.8× 1.0k 1.1× 1.1k 3.1× 396 1.3× 47 2.5k
Yoshito Ibuki 799 0.7× 386 0.4× 831 0.9× 882 2.5× 223 0.7× 68 2.0k

Countries citing papers authored by Katja Prelle

Since Specialization
Citations

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

Fields of papers citing papers by Katja Prelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Prelle

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

All Works

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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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