Julia Schregel

530 total citations
16 papers, 346 citations indexed

About

Julia Schregel is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Julia Schregel has authored 16 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Ecology and 2 papers in Molecular Biology. Recurrent topics in Julia Schregel's work include Genetic diversity and population structure (11 papers), Wildlife Ecology and Conservation (11 papers) and Genetic and phenotypic traits in livestock (7 papers). Julia Schregel is often cited by papers focused on Genetic diversity and population structure (11 papers), Wildlife Ecology and Conservation (11 papers) and Genetic and phenotypic traits in livestock (7 papers). Julia Schregel collaborates with scholars based in Norway, Finland and Russia. Julia Schregel's co-authors include Kaarina Kauhala, Katja Holmala, Snorre B. Hagen, Hans Geir Eiken, Alexander Kopatz, Jouni Aspi, Ilpo Kojola, Jon E. Swenson, Konstantin Tirronen and Miina Auttila and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Molecular Ecology.

In The Last Decade

Julia Schregel

15 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Schregel Norway 12 272 225 44 41 35 16 346
Zs. Biró Italy 6 335 1.2× 299 1.3× 25 0.6× 50 1.2× 40 1.1× 6 457
Henry Mix Germany 10 205 0.8× 163 0.7× 19 0.4× 31 0.8× 27 0.8× 12 350
Margarida Lopes-Fernandes Portugal 8 209 0.8× 184 0.8× 24 0.5× 19 0.5× 51 1.5× 15 324
Junco Nagata Japan 12 345 1.3× 269 1.2× 89 2.0× 23 0.6× 26 0.7× 26 432
Andrei Kandaurov Georgia 4 212 0.8× 211 0.9× 34 0.8× 18 0.4× 34 1.0× 11 388
Vladimir V. Aramilev United States 12 399 1.5× 160 0.7× 50 1.1× 39 1.0× 124 3.5× 14 459
Alexandre Uarth Christoff Brazil 13 267 1.0× 132 0.6× 37 0.8× 18 0.4× 29 0.8× 40 457
Agata Kawałko Poland 10 216 0.8× 252 1.1× 37 0.8× 28 0.7× 33 0.9× 11 392
Alexander Kopatz Norway 13 331 1.2× 264 1.2× 71 1.6× 14 0.3× 41 1.2× 32 404
Paula MacKay United States 7 472 1.7× 150 0.7× 85 1.9× 61 1.5× 166 4.7× 9 529

Countries citing papers authored by Julia Schregel

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schregel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Schregel

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

All Works

16 of 16 papers shown
1.
Schregel, Julia, Jaanus Remm, Hans Geir Eiken, et al.. (2018). Multi‐level patterns in population genetics: Variogram series detects a hidden isolation‐by‐distance‐dominated structure of Scandinavian brown bears Ursus arctos. Methods in Ecology and Evolution. 9(5). 1324–1334. 14 indexed citations
2.
Holmala, Katja, et al.. (2018). Genetic evidence of female kin clusters in a continuous population of a solitary carnivore, the Eurasian lynx. Ecology and Evolution. 8(22). 10964–10975. 13 indexed citations
3.
Schregel, Julia, Alexander Kopatz, Hans Geir Eiken, Jon E. Swenson, & Snorre B. Hagen. (2017). Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos). PLoS ONE. 12(7). e0180701–e0180701. 16 indexed citations
4.
Kopatz, Alexander, Hans Geir Eiken, Julia Schregel, et al.. (2017). Genetic substructure and admixture as important factors in linkage disequilibrium‐based estimation of effective number of breeders in recovering wildlife populations. Ecology and Evolution. 7(24). 10721–10732. 11 indexed citations
5.
Schregel, Julia, et al.. (2017). Population genetic structure of lumpfish along the Norwegian coast: aquaculture implications. Aquaculture International. 26(1). 49–60. 16 indexed citations
6.
Hagen, Snorre B., Rune Andreassen, Julia Schregel, et al.. (2015). Y-chromosomal testing of brown bears (Ursus arctos): Validation of a multiplex PCR-approach for nine STRs suitable for fecal and hair samples. Forensic Science International Genetics. 19. 197–204. 2 indexed citations
7.
Schregel, Julia, Hans Geir Eiken, Frank Hailer, et al.. (2015). Y chromosome haplotype distribution of brown bears (Ursus arctos) in Northern Europe provides insight into population history and recovery. Molecular Ecology. 24(24). 6041–6060. 10 indexed citations
8.
Schregel, Julia, Ole Petter Laksforsmo Vindstad, Jane Uhd Jepsen, et al.. (2015). Identification and Evaluation of 21 Novel Microsatellite Markers from the Autumnal Moth (Epirrita autumnata) (Lepidoptera: Geometridae). International Journal of Molecular Sciences. 16(9). 22541–22554. 1 indexed citations
9.
Andreassen, Rune, Julia Schregel, Alexander Kopatz, et al.. (2012). A forensic DNA profiling system for Northern European brown bears (Ursus arctos). Forensic Science International Genetics. 6(6). 798–809. 42 indexed citations
10.
Schregel, Julia, Alexander Kopatz, Snorre B. Hagen, et al.. (2012). Limited gene flow among brown bear populations in far Northern Europe? Genetic analysis of the east–west border population in the Pasvik Valley. Molecular Ecology. 21(14). 3474–3488. 30 indexed citations
11.
Kopatz, Alexander, Hans Geir Eiken, Snorre B. Hagen, et al.. (2012). Connectivity and population subdivision at the fringe of a large brown bear (Ursus arctos) population in North Western Europe. Conservation Genetics. 13(3). 681–692. 37 indexed citations
12.
Kopatz, Alexander, Hans Geir Eiken, Paul Eric Aspholm, et al.. (2011). Monitoring of the Pasvik-Inari-Pechenga brown bear population in 2007 and 2011 using hair-trapping. BIBSYS Brage (BIBSYS (Norway)).
13.
Kauhala, Kaarina, Julia Schregel, & Miina Auttila. (2010). Habitat impact on raccoon dogNyctereutes procyonoides home range size in southern Finland. ACTA THERIOLOGICA. 55(4). 371–380. 15 indexed citations
14.
Schmeller, Dirk S., Julia Schregel, & Michael Veith. (2007). The importance of heterozygosity in a frog’s life. Die Naturwissenschaften. 94(5). 360–366. 12 indexed citations
15.
Kauhala, Kaarina, Katja Holmala, & Julia Schregel. (2006). Seasonal activity patterns and movements of the raccoon dog, a vector of diseases and parasites, in southern Finland. Mammalian Biology. 72(6). 342–353. 53 indexed citations
16.
Kauhala, Kaarina, et al.. (2006). Home ranges and densities of medium-sized carnivores in south-east Finland, with special reference to rabies spread. ACTA THERIOLOGICA. 51(1). 1–13. 74 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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