Vered Madar

1.1k citations
8 papers · 271 · h-index 5

Impact in

Papers in

    • Genetic Associations and Epidemiology 3
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetic and phenotypic traits in livestock 1
    • Gene expression and cancer classification 2

Vered Madar

7 papers receiving 270 citations

Peers

Vered Madar
Comparison fields: 5 of 95
  • Genetics 88
  • Behavioral Neuroscience 11
  • Cancer Research 41
  • Biological Psychiatry 5
  • Molecular Biology 123
Replace Sandra Batista with:
Sandra Batista United States
J. Flammer United States
Wendy Czika United States
Amanda Kuzma United States
Yao Zhou China
Chao Tian China
Loreto Muñoz Venegas Germany
Scott Tabar United States
Dag Fadnes Norway
Anastasia L. Wise United States
Vered Madar relative to Sandra Batista United States Sandra Batista's profile →
Citations per field
00.5×2.6×
Sandra Batista · 1×
Citations per year

Countries citing papers authored by Vered Madar

Since Specialization
Citations

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

Fields of papers citing papers by Vered Madar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vered Madar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vered Madar Line = papers co-authored together Vered Madar links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014112
2 201187
3 201634
4 201522
5 201514
6 20241
7 20131
8 20060

About Vered Madar

Vered Madar is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Political Science and International Relations and Sociology and Political Science, having authored 8 papers that have together received 271 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Statistical Methods and Inference (2 papers), Gene expression and cancer classification (2 papers), Statistical Methods in Clinical Trials (2 papers), Cystic Fibrosis Research Advances (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Archaeology and Historical Studies (1 paper). The work is most often cited by research in Genetics (88 citations), Behavioral Neuroscience (11 citations), Cancer Research (41 citations), Biological Psychiatry (5 citations) and Molecular Biology (123 citations). Vered Madar has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Sandra Batista, Fred A. Wright, Patrick F. Sullivan, Yi-Hui Zhou, Wei Sun, Andrey A. Shabalin, Kai Xia, Shun‐Ping Huang, Fei Zou and Wei Wang. Their work appears in journals such as Bioinformatics, The American Journal of Human Genetics, BMC Genomics, BioData Mining and Biometrika.

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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