Omer Weissbrod

9.0k total citations
34 papers, 1.2k citations indexed

About

Omer Weissbrod is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Omer Weissbrod has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 18 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Omer Weissbrod's work include Genetic Associations and Epidemiology (18 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic and phenotypic traits in livestock (6 papers). Omer Weissbrod is often cited by papers focused on Genetic Associations and Epidemiology (18 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetic and phenotypic traits in livestock (6 papers). Omer Weissbrod collaborates with scholars based in Israel, United States and Germany. Omer Weissbrod's co-authors include Dan Geiger, Saharon Rosset, Eran Segal, Alkes L. Price, Jonathan Flint, Steven Gazal, Michal Rein, Farhad Hormozdiari, Tal Korem and Daphna Rothschild and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Omer Weissbrod

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omer Weissbrod Israel 21 587 537 182 115 93 34 1.2k
Jan M.W. Geurts Netherlands 20 480 0.8× 255 0.5× 184 1.0× 113 1.0× 52 0.6× 40 1.3k
Paul Lacaze Australia 24 591 1.0× 463 0.9× 169 0.9× 212 1.8× 133 1.4× 103 1.8k
Chen Yao China 19 975 1.7× 434 0.8× 105 0.6× 42 0.4× 98 1.1× 77 1.6k
Roman Kosoy United States 16 425 0.7× 594 1.1× 100 0.5× 162 1.4× 32 0.3× 30 1.3k
Laura D. Gauthier United States 11 611 1.0× 418 0.8× 49 0.3× 84 0.7× 65 0.7× 17 1.1k
Oliver S. Burren United Kingdom 16 476 0.8× 1.0k 1.9× 148 0.8× 50 0.4× 64 0.7× 27 2.0k
Silva Kasela Estonia 13 647 1.1× 174 0.3× 178 1.0× 84 0.7× 49 0.5× 19 1.1k
Emma E. Thompson United States 13 286 0.5× 404 0.8× 236 1.3× 81 0.7× 19 0.2× 26 1.1k
Scott C. Ritchie Australia 12 363 0.6× 313 0.6× 74 0.4× 67 0.6× 49 0.5× 21 930

Countries citing papers authored by Omer Weissbrod

Since Specialization
Citations

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

Fields of papers citing papers by Omer Weissbrod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omer Weissbrod

This figure shows the co-authorship network connecting the top 25 collaborators of Omer Weissbrod. A scholar is included among the top collaborators of Omer Weissbrod 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 Omer Weissbrod. Omer Weissbrod 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.
Yogev, Ohad, Omer Weissbrod, Giorgia Battistoni, et al.. (2023). From a genome-wide screen of RNAi molecules against SARS-CoV-2 to a validated broad-spectrum and potent prophylaxis. Communications Biology. 6(1). 277–277. 6 indexed citations
2.
Reicher, Lee, Saar Shoer, Anastasia Godneva, et al.. (2023). Bacterial SNPs in the human gut microbiome associate with host BMI. Nature Medicine. 29(11). 2785–2792. 27 indexed citations
3.
Cui, Ran, Masahiro Kanai, Jacob C. Ulirsch, et al.. (2023). Improving fine-mapping by modeling infinitesimal effects. Nature Genetics. 56(1). 162–169. 13 indexed citations
4.
Gazal, Steven, Omer Weissbrod, Farhad Hormozdiari, et al.. (2022). Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity. Nature Genetics. 54(6). 827–836. 73 indexed citations
5.
Brandes, Nadav, Omer Weissbrod, & Michal Linial. (2022). Open problems in human trait genetics. Genome biology. 23(1). 131–131. 32 indexed citations
6.
Lencz, Todd, Daniel Backenroth, Einat Granot‐Hershkovitz, et al.. (2021). Utility of polygenic embryo screening for disease depends on the selection strategy. eLife. 10. 40 indexed citations
7.
Kim, Samuel S., Kushal K. Dey, Omer Weissbrod, et al.. (2020). Improving the informativeness of Mendelian disease-derived pathogenicity scores for common disease. Nature Communications. 11(1). 9 indexed citations
8.
Shor, Tal, Iris Kalka, Dan Geiger, Yaniv Erlich, & Omer Weissbrod. (2019). Estimating variance components in population scale family trees. PLoS Genetics. 15(5). e1008124–e1008124. 8 indexed citations
9.
Kaplanis, Joanna, Assaf Gordon, Tal Shor, et al.. (2018). Quantitative analysis of population-scale family trees with millions of relatives. Science. 360(6385). 171–175. 131 indexed citations
10.
Weissbrod, Omer, Daphna Rothschild, Elad Barkan, & Eran Segal. (2018). Host genetics and microbiome associations through the lens of genome wide association studies. Current Opinion in Microbiology. 44. 9–19. 31 indexed citations
11.
Shalata, Adel, Dianna M. Milewicz, Hector Cohen, et al.. (2018). Fatal thoracic aortic aneurysm and dissection in a large family with a novel MYLK gene mutation: delineation of the clinical phenotype. Orphanet Journal of Rare Diseases. 13(1). 41–41. 21 indexed citations
12.
Schweiger, Regev, Eyal Fisher, Omer Weissbrod, et al.. (2018). Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests. Nature Communications. 9(1). 4919–4919. 5 indexed citations
13.
Schweiger, Regev, Omer Weissbrod, Elior Rahmani, et al.. (2017). RL-SKAT: An Exact and Efficient Score Test for Heritability and Set Tests. Genetics. 207(4). 1275–1283. 13 indexed citations
14.
Cohen, Keira A., Tal El‐Hay, Kelly L. Wyres, et al.. (2016). Paradoxical Hypersusceptibility of Drug-resistant M ycobacterium tuberculosis to β-lactam Antibiotics. EBioMedicine. 9. 170–179. 35 indexed citations
15.
Weissbrod, Omer, Dan Geiger, & Saharon Rosset. (2016). Multikernel linear mixed models for complex phenotype prediction. Genome Research. 26(7). 969–979. 34 indexed citations
16.
Waks, Zeev, Omer Weissbrod, Boaz Carmeli, et al.. (2016). Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins. Scientific Reports. 6(1). 38988–38988. 21 indexed citations
17.
Weissbrod, Omer, Christoph Lippert, Dan Geiger, & David Heckerman. (2015). Accurate liability estimation improves power in ascertained case-control studies. Nature Methods. 12(4). 332–334. 27 indexed citations
18.
Silberstein, Mark, Omer Weissbrod, Adel Shalata, et al.. (2013). A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees. Bioinformatics. 29(5). 669–669. 1 indexed citations
19.
Peled, Yael, Michael Gramlich, Guy Yoskovitz, et al.. (2013). Titin Mutation in Familial Restrictive Cardiomyopathy. International Journal of Cardiology. 171(1). 24–30. 80 indexed citations
20.
Weissbrod, Omer & Dan Geiger. (2011). Genetic Linkage Analysis in the Presence of Germline Mosaicism. Statistical Applications in Genetics and Molecular Biology. 10(1). 20 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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