Samuela Pollack
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 6
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
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- Asthma and respiratory diseases 1
- Co-authors
- Alkes L. Price (5 shared papers)Po‐Ru Loh (3 shared papers)Alexander Gusev (3 shared papers)Kenneth S. Kendler (1 shared paper)Teresa R de Candia (1 shared paper)Hilary K. Finucane (1 shared paper)Benjamin M. Neale (1 shared paper)Brendan Bulik‐Sullivan (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Bioinformatics (2 papers)Nature Genetics (1 paper)Human Genetics (1 paper)ISEE Conference Abstracts (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Samuela Pollack
6 papers receiving 437 citations
Peers
Comparison fields: 5 of 79
- Genetics 323
- Aging 4
- Molecular Biology 152
- Cancer Research 23
- Health Informatics 2
Countries citing papers authored by Samuela Pollack
This map shows the geographic impact of Samuela Pollack'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 Samuela Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuela Pollack more than expected).
Fields of papers citing papers by Samuela Pollack
This network shows the impact of papers produced by Samuela Pollack. 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 Samuela Pollack. The network helps show where Samuela Pollack may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuela Pollack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 268 | |
| 2 | 2013 | 85 | |
| 3 | 2015 | 45 | |
| 4 | 2012 | 20 | |
| 5 | 2013 | 12 | |
| 6 | 2016 | 10 | |
| 7 | 2015 | 0 | |
| 8 | 2014 | 0 |
About Samuela Pollack
Samuela Pollack is a scholar working on Genetics, Physiology, Molecular Biology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 440 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Statistical Methods and Inference (1 paper), Asthma and respiratory diseases (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Genetics (323 citations), Aging (4 citations), Molecular Biology (152 citations), Cancer Research (23 citations) and Health Informatics (2 citations). Samuela Pollack has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Alkes L. Price, Po‐Ru Loh, Alexander Gusev, Kenneth S. Kendler, Teresa R de Candia, Hilary K. Finucane, Benjamin M. Neale, Brendan Bulik‐Sullivan, Michael O’Donovan and Naomi R. Wray. Their work appears in journals such as The American Journal of Human Genetics, Bioinformatics, Nature Genetics, Human Genetics and ISEE Conference Abstracts.
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.