Tomaz Berisa
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 5
- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 1
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- RNA Research and Splicing 1
- Co-authors
- Joseph K. Pickrell (5 shared papers)Jimmy Z. Liu (1 shared paper)Laure Ségurel (1 shared paper)David A. Hinds (1 shared paper)Joyce Y. Tung (1 shared paper)Jeremiah H. Li (2 shared papers)Hakhamanesh Mostafavi (1 shared paper)Felix R. Day (1 shared paper)
- Journals
- Genome Research (1 paper)Nature Genetics (1 paper)PLoS Biology (1 paper)BMC Genomics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Tomaz Berisa
5 papers receiving 1.1k citations
Tomaz Berisa's Hit Papers
Peers
Comparison fields: 5 of 104
- Genetics 701
- Aging 10
- Molecular Biology 378
- Biological Psychiatry 13
- Cancer Research 70
Countries citing papers authored by Tomaz Berisa
This map shows the geographic impact of Tomaz Berisa'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 Tomaz Berisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomaz Berisa more than expected).
Fields of papers citing papers by Tomaz Berisa
This network shows the impact of papers produced by Tomaz Berisa. 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 Tomaz Berisa. The network helps show where Tomaz Berisa may publish in the future.
Co-authors
The 14 scholars most cited alongside Tomaz Berisa, 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 | Detection and interpretation of shared genetic influences on 42 human traits Hit paper breakdown → | 2016 | 663 |
| 2 | 2015 | 272 | |
| 3 | 2021 | 59 | |
| 4 | 2017 | 53 | |
| 5 | 2021 | 32 |
About Tomaz Berisa
Tomaz Berisa is a scholar working on Genetics, Molecular Biology, Rheumatology, Pharmacology and Nutrition and Dietetics, having authored 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (2 papers), Folate and B Vitamins Research (1 paper), RNA Research and Splicing (1 paper), Trace Elements in Health (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Genetics (701 citations), Aging (10 citations), Molecular Biology (378 citations), Biological Psychiatry (13 citations) and Cancer Research (70 citations). Tomaz Berisa has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Joseph K. Pickrell, Jimmy Z. Liu, Laure Ségurel, David A. Hinds, Joyce Y. Tung, Jeremiah H. Li, Hakhamanesh Mostafavi, Felix R. Day, Molly Przeworski and John R. B. Perry. Their work appears in journals such as Genome Research, Nature Genetics, PLoS Biology, BMC Genomics and Bioinformatics.
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.