Annett Weigend

971 total citations
24 papers, 552 citations indexed

About

Annett Weigend is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, Annett Weigend has authored 24 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 16 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Annett Weigend's work include Animal Nutrition and Physiology (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Livestock and Poultry Management (15 papers). Annett Weigend is often cited by papers focused on Animal Nutrition and Physiology (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Livestock and Poultry Management (15 papers). Annett Weigend collaborates with scholars based in Germany, Tanzania and United States. Annett Weigend's co-authors include Steffen Weigend, Henner Simianer, Christian Reimer, Armin O. Schmitt, Johannes Geibel, Ahmad Sharifi, Peter L. M. Msoffe, H. Eding, Torsten Pook and Malena Erbe and has published in prestigious journals such as PLoS ONE, PLoS Genetics and BMC Genomics.

In The Last Decade

Annett Weigend

24 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annett Weigend Germany	12	331	331	92	63	45	24	552
T. Hardge Germany	8	250 0.8×	466 1.4×	110 1.2×	93 1.5×	30 0.7×	12	666
Simone Ceccobelli Italy	16	245 0.7×	401 1.2×	141 1.5×	31 0.5×	66 1.5×	58	651
Taki Karslı Türkiye	13	215 0.6×	247 0.7×	58 0.6×	44 0.7×	17 0.4×	54	430
Filippo Cendron Italy	12	205 0.6×	179 0.5×	102 1.1×	22 0.3×	40 0.9×	29	391
Ben Dorshorst United States	14	259 0.8×	335 1.0×	246 2.7×	95 1.5×	25 0.6×	17	680
Sean MacEachern Australia	10	166 0.5×	471 1.4×	106 1.2×	79 1.3×	37 0.8×	14	653
R. K. Vijh India	14	124 0.4×	382 1.2×	72 0.8×	36 0.6×	57 1.3×	65	487
Vincenzo Landi Spain	17	316 1.0×	729 2.2×	132 1.4×	61 1.0×	64 1.4×	98	977
G.A.A. Albers Netherlands	5	176 0.5×	192 0.6×	44 0.5×	28 0.4×	33 0.7×	6	335
A. da S. Mariante Brazil	15	200 0.6×	482 1.5×	64 0.7×	82 1.3×	21 0.5×	49	692

Countries citing papers authored by Annett Weigend

Since Specialization

Citations

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

Fields of papers citing papers by Annett Weigend

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annett Weigend

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

All Works

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20 of 20 papers shown

Lyu, Shijie, Danny Arends, Annett Weigend, et al.. (2022). High-density genotyping reveals candidate genomic regions for chicken body size in breeds of Asian origin. Poultry Science. 102(1). 102303–102303. 11 indexed citations

Dierks, Claudia, et al.. (2022). Sexing assay for chickens and other birds for large‐scale application based on a conserved sequence variant in CHD1 genes on W and Z chromosomes. Animal Genetics. 53(2). 235–237. 1 indexed citations

Weigend, Steffen, et al.. (2021). Genetic diversity in global chicken breeds in relation to their genetic distances to wild populations. Genetics Selection Evolution. 53(1). 36–36. 12 indexed citations

Geibel, Johannes, Christian Reimer, Steffen Weigend, et al.. (2021). How array design creates SNP ascertainment bias. PLoS ONE. 16(3). e0245178–e0245178. 47 indexed citations

Geibel, Johannes, Christian Reimer, Torsten Pook, et al.. (2021). How imputation can mitigate SNP ascertainment Bias. BMC Genomics. 22(1). 340–340. 8 indexed citations

Weigend, Annett, et al.. (2021). Influence of Age and Phylogenetic Background on Blood Parameters Associated With Bone Metabolism in Laying Hens. Frontiers in Physiology. 12. 678054–678054. 12 indexed citations

Baulain, Ulrich, Armin O. Schmitt, A. Scholz, et al.. (2021). Identification and Functional Annotation of Genes Related to Bone Stability in Laying Hens Using Random Forests. Genes. 12(5). 702–702. 7 indexed citations

Qanbari, Saber, Carl‐Johan Rubin, Khurram Maqbool, et al.. (2019). Genetics of adaptation in modern chicken. PLoS Genetics. 15(4). e1007989–e1007989. 83 indexed citations

Simianer, Henner, et al.. (2019). The SYNBREED chicken diversity panel: a global resource to assess chicken diversity at high genomic resolution. BMC Genomics. 20(1). 345–345. 71 indexed citations

10.

Reimer, Christian, et al.. (2018). Efficiency of different strategies to mitigate ascertainment bias when using SNP panels in diversity studies. BMC Genomics. 19(1). 22–22. 73 indexed citations

11.

Lyu, Shijie, Danny Arends, Annett Weigend, et al.. (2018). Reducing the interval of a growthQTLon chromosome 4 in laying hens. Animal Genetics. 49(5). 467–471. 4 indexed citations

12.

Fleming, Damarius S., Steffen Weigend, Henner Simianer, et al.. (2017). Genomic Comparison of Indigenous African and Northern European Chickens Reveals Putative Mechanisms of Stress Tolerance Related to Environmental Selection Pressure. G3 Genes Genomes Genetics. 7(5). 1525–1537. 37 indexed citations

13.

Gholami, Mahmood, Christian Reimer, Malena Erbe, et al.. (2015). Genome Scan for Selection in Structured Layer Chicken Populations Exploiting Linkage Disequilibrium Information. PLoS ONE. 10(7). e0130497–e0130497. 17 indexed citations

14.

Beissinger, Timothy, Mahmood Gholami, Malena Erbe, et al.. (2015). Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens. Heredity. 116(2). 158–166. 10 indexed citations

15.

Weigend, Annett, et al.. (2015). Maternal genealogical patterns of chicken breeds sampled in Europe. Animal Genetics. 46(4). 447–451. 10 indexed citations

16.

Weigend, Annett, et al.. (2014). Assessing the genetic diversity of five Tanzanian chicken ecotypes using molecular tools. South African Journal of Animal Science. 43(4). 499–499. 30 indexed citations

17.

Weigend, Steffen, et al.. (2014). Biodiversität beim Huhn : Potenziale für die Praxis. Züchtungskunde. 86(1). 25–41. 3 indexed citations

18.

Gholami, Mahmood, Malena Erbe, Rudolf Preisinger, et al.. (2014). Population Genomic Analyses Based on 1 Million SNPs in Commercial Egg Layers. PLoS ONE. 9(4). e94509–e94509. 24 indexed citations

19.

Erbe, Malena, D. Cavero, Annett Weigend, et al.. (2013). Genomic Prediction in Laying Hens. 370–381. 1 indexed citations

20.

Weigend, Annett, et al.. (2012). Assessing Genetic Diversity of Five Tanzanian Chicken EcotypesUsing Microsatellite Markers and Mitochondrial DNA D-loopSequencing. 39. 1 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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