Г. Брем

19.1k total citations · 2 hit papers
472 papers, 13.5k citations indexed

About

Г. Брем is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Г. Брем has authored 472 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 268 papers in Genetics, 169 papers in Molecular Biology and 109 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Г. Брем's work include Animal Genetics and Reproduction (133 papers), Reproductive Biology and Fertility (109 papers) and Genetic and phenotypic traits in livestock (102 papers). Г. Брем is often cited by papers focused on Animal Genetics and Reproduction (133 papers), Reproductive Biology and Fertility (109 papers) and Genetic and phenotypic traits in livestock (102 papers). Г. Брем collaborates with scholars based in Austria, Germany and Russia. Г. Брем's co-authors include Eckhard Wolf, Mathias Müller, H. Thoenen, U. Besenfelder, Patrick Carroll, Valeri Zakhartchenko, Martin Körte, Tobias Bonhoeffer, Elisabeth Kremmer and Miodrag Stojković and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Г. Брем

448 papers receiving 12.9k citations

Hit Papers

Hippocampal long-term pot... 1995 2026 2005 2015 1995 1996 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Г. Брем 5.6k 5.5k 2.5k 1.7k 1.6k 472 13.5k
James C. Cross 2.4k 0.4× 7.6k 1.4× 1.6k 0.6× 3.7k 2.1× 344 0.2× 142 14.8k
Masahito Ikawa 5.6k 1.0× 13.2k 2.4× 4.6k 1.8× 2.7k 1.6× 1.8k 1.1× 407 23.5k
Pamela L. Mellon 4.4k 0.8× 6.5k 1.2× 1.7k 0.7× 1.2k 0.7× 1.1k 0.7× 197 12.9k
Heiner Niemann 4.9k 0.9× 9.8k 1.8× 4.3k 1.7× 1.1k 0.6× 2.7k 1.6× 384 17.9k
Colin L. Stewart 4.9k 0.9× 22.7k 4.1× 1.8k 0.7× 6.8k 3.9× 2.2k 1.3× 217 33.9k
Argiris Efstratiadis 8.5k 1.5× 20.1k 3.6× 1.1k 0.4× 1.4k 0.8× 1.8k 1.1× 120 29.0k
Hitoshi Niwa 2.9k 0.5× 14.8k 2.7× 1.4k 0.5× 1.1k 0.6× 1.5k 0.9× 178 19.4k
Virginia E. Papaioannou 4.0k 0.7× 12.6k 2.3× 1.5k 0.6× 3.0k 1.7× 1.2k 0.7× 176 17.8k
Heiner Westphal 5.8k 1.0× 14.9k 2.7× 1.6k 0.6× 1.3k 0.7× 3.0k 1.8× 153 22.5k
Davor Solter 5.0k 0.9× 12.5k 2.3× 3.2k 1.3× 1.7k 1.0× 443 0.3× 211 16.0k

Countries citing papers authored by Г. Брем

Since Specialization
Citations

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

Fields of papers citing papers by Г. Брем

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Г. Брем

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

All Works

20 of 20 papers shown
1.
Денискова, Т. Е., В. Р. Харзинова, Johann Sölkner, et al.. (2024). Tracing the Dynamical Genetic Diversity Changes of Russian Livni Pigs during the Last 50 Years with the Museum, Old, and Modern Samples. Animals. 14(11). 1629–1629. 2 indexed citations
2.
Волкова, Н. А., Michael N Romanov, А. А. Sermyagin, et al.. (2024). Genome-Wide Association Study Revealed Putative SNPs and Candidate Genes Associated with Growth and Meat Traits in Japanese Quail. Genes. 15(3). 294–294. 7 indexed citations
3.
Волкова, Н. А., Michael N Romanov, В.И. Фисинин, et al.. (2023). Genotyping-by-Sequencing Strategy for Integrating Genomic Structure, Diversity and Performance of Various Japanese Quail (Coturnix japonica) Breeds. Animals. 13(22). 3439–3439. 4 indexed citations
4.
Sermyagin, А. А., et al.. (2022). Genome-Wide Screening for SNPs Associated with Stature in Diverse Cattle Breeds. Diversity. 14(8). 692–692. 4 indexed citations
5.
Доцев, А. В., Т. Е. Денискова, Elisabeth Kunz, et al.. (2020). Complete mitochondrial genomes of Karchaev goat (Capra hircus). SHILAP Revista de lepidopterología. 5(3). 3627–3628. 3 indexed citations
6.
Reiter, Simone Frizell, Barbara Wallner, Г. Брем, et al.. (2020). Distribution of the Warmblood Fragile Foal Syndrome Type 1 Mutation (PLOD1 c.2032G>A) in Different Horse Breeds from Europe and the United States. Genes. 11(12). 1518–1518. 12 indexed citations
7.
Доцев, А. В., Elisabeth Kunz, Olga Kostyunina, et al.. (2019). The first complete mitochondrial genomes of snow sheep (Ovis nivicola) and thinhorn sheep (Ovis dalli) and their phylogenetic implications for the genus Ovis. SHILAP Revista de lepidopterología. 4(1). 1332–1333. 7 indexed citations
8.
Денискова, Т. Е., А. В. Доцев, Henry Reyer, et al.. (2019). Genomic assessment and phenotypic characteristics of F2 resource sheep population. SHILAP Revista de lepidopterología. 20(5). 498–507. 2 indexed citations
9.
Доцев, А. В., А. А. Sermyagin, Henry Reyer, et al.. (2018). Evaluation of current gene pool of Kholmogor and Black-and-white cattle breeds based on whole genome SNP analysis. Vavilov Journal of Genetics and Breeding. 22(6). 742–747. 8 indexed citations
10.
Kluger, Rainer, et al.. (2016). Candidate gene approach identifies six SNPs in tenascin‐C (TNC) associated with degenerative rotator cuff tears. Journal of Orthopaedic Research®. 35(4). 894–901. 35 indexed citations
11.
Auer, Gert, et al.. (2010). Progress in the eradication of bovine virus diarrhoea (BVD) using tissue samples and blood tests in the state of Tyrol.. Wiener Tierarztliche Monatsschrift. 97. 203–209. 1 indexed citations
12.
Čech, Svatopluk, R. Doležel, Tara L. Huber, et al.. (2005). In vivo culture of bovine embryos and quality assessment of in vivo vs. in vitro produced embryos. Veterinární Medicína. 50(4). 149–158. 5 indexed citations
14.
Брем, Г. & B. Kühholzer. (2002). The Recent History of Somatic Cloning in Mammals. Cloning and Stem Cells. 4(1). 57–63. 17 indexed citations
15.
Hyttel, Poul, Jozef Laurinčík, Valeri Zakhartchenko, et al.. (2001). Nucleolar Protein Allocation and Ultrastructure in Bovine Embryos Produced by Nuclear Transfer from Embryonic Cells. PubMed. 3(2). 69–82. 16 indexed citations
16.
Schmidt, Peter, et al.. (1994). Morphometry of the pituitary gland of growth hormone-transgenic mice. Image Analysis & Stereology. 2 indexed citations
17.
Wanke, Rüdiger, et al.. (1994). Morphometric evaluation of the pancreas of growth hormone-transgenic mice. Image Analysis & Stereology. 11 indexed citations
18.
Müller, Mathias, Ernst‐Ludwig Winnacker, & Г. Брем. (1992). Molecular Cloning of Porcine Mx cDNAs: New Members of a Family of Interferon-Inducible Proteins with Homology to GTP-Binding Proteins. Journal of Interferon Research. 12(2). 119–129. 46 indexed citations
19.
Müller, Matthias & Г. Брем. (1990). Interferon - inducible murine mx homologs in swine. Biotecnología aplicada. 7(2). 161–166. 1 indexed citations
20.
Брем, Г., et al.. (1990). Investigations on the polled condition in German Simmental cattle. 67(1). 15–68. 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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