Doreen Schwochow

1.9k total citations · 1 hit paper
7 papers, 669 citations indexed

About

Doreen Schwochow is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, Doreen Schwochow has authored 7 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Doreen Schwochow's work include Genetic and phenotypic traits in livestock (4 papers), melanin and skin pigmentation (3 papers) and Genetic diversity and population structure (2 papers). Doreen Schwochow is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), melanin and skin pigmentation (3 papers) and Genetic diversity and population structure (2 papers). Doreen Schwochow collaborates with scholars based in Sweden, United States and France. Doreen Schwochow's co-authors include Leif Andersson, Carl‐Johan Rubin, Álvaro Martínez Barrio, Alan Archibald, Claus B. Jørgensen, Örjan Carlborg, Merete Fredholm, Martien A. M. Groenen, Chao Wang and Patric Jern and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Molecular Biology and Evolution.

In The Last Decade

Doreen Schwochow

7 papers receiving 646 citations

Hit Papers

Strong signatures of selection in the domestic pig genome 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doreen Schwochow Sweden 7 481 197 139 102 100 7 669
Christine Flury Switzerland 17 767 1.6× 137 0.7× 177 1.3× 78 0.8× 72 0.7× 39 895
Heidi Signer‐Hasler Switzerland 15 571 1.2× 109 0.6× 135 1.0× 50 0.5× 56 0.6× 22 653
Natalia Sevane Spain 15 408 0.8× 146 0.7× 91 0.7× 178 1.7× 29 0.3× 39 635
Shumaila Sayyab Sweden 7 392 0.8× 187 0.9× 130 0.9× 73 0.7× 34 0.3× 14 572
Chungang Feng China 17 530 1.1× 306 1.6× 71 0.5× 265 2.6× 33 0.3× 41 789
Lucía Pérez-Pardal Spain 14 442 0.9× 92 0.5× 52 0.4× 50 0.5× 48 0.5× 38 581
Erin T. Chu United States 6 304 0.6× 154 0.8× 147 1.1× 48 0.5× 19 0.2× 8 464
Freyja Imsland Sweden 11 418 0.9× 235 1.2× 20 0.1× 121 1.2× 113 1.1× 14 632
Aurélien Capitan France 17 700 1.5× 154 0.8× 159 1.1× 53 0.5× 28 0.3× 46 809
Ivica Međugorac Germany 21 1.1k 2.3× 260 1.3× 215 1.5× 96 0.9× 37 0.4× 66 1.3k

Countries citing papers authored by Doreen Schwochow

Since Specialization
Citations

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

Fields of papers citing papers by Doreen Schwochow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doreen Schwochow

This figure shows the co-authorship network connecting the top 25 collaborators of Doreen Schwochow. A scholar is included among the top collaborators of Doreen Schwochow 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 Doreen Schwochow. Doreen Schwochow 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.
Hill, Jason, Erik D. Enbody, Sangeet Lamichhaney, et al.. (2023). Low Mutation Load in a Supergene Underpinning Alternative Male Mating Strategies in Ruff (Calidris pugnax). Molecular Biology and Evolution. 40(12). 6 indexed citations
2.
Schwochow, Doreen, Susanne Bornelöv, Ting‐Xin Jiang, et al.. (2021). The feather pattern autosomal barring in chicken is strongly associated with segregation at the MC1R locus. Pigment Cell & Melanoma Research. 34(6). 1015–1028. 13 indexed citations
3.
Schwochow, Doreen, Elisabeth Sundström, Xiaofang Cao, et al.. (2017). The evolution of Sex-linked barring alleles in chickens involves both regulatory and coding changes in CDKN2A. PLoS Genetics. 13(4). e1006665–e1006665. 29 indexed citations
4.
Imsland, Freyja, Kelly A. McGowan, Carl‐Johan Rubin, et al.. (2015). Regulatory mutations in TBX3 disrupt asymmetric hair pigmentation that underlies Dun camouflage color in horses. Nature Genetics. 48(2). 152–158. 59 indexed citations
5.
Promerová, Marta, Leif Andersson, Leif Andersson, et al.. (2014). Worldwide frequency distribution of the ‘Gait keeper’ mutation in the DMRT3 gene. Animal Genetics. 45(2). 274–282. 75 indexed citations
6.
Schwochow, Doreen, Laurel E. K. Serieys, Robert K. Wayne, & Olaf Thalmann. (2012). Efficient recovery of whole blood RNA - a comparison of commercial RNA extraction protocols for high-throughput applications in wildlife species. BMC Biotechnology. 12(1). 33–33. 28 indexed citations
7.
Rubin, Carl‐Johan, Hendrik‐Jan Megens, Álvaro Martínez Barrio, et al.. (2012). Strong signatures of selection in the domestic pig genome. Proceedings of the National Academy of Sciences. 109(48). 19529–19536. 459 indexed citations breakdown →

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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