Daniel J. Balick

1.4k citations
12 papers · 575 · h-index 8

Impact in

  • Genetics top 5%
    • Evolution and Genetic Dynamics
    • Genetic diversity and population structure
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Evolution and Genetic Dynamics 7
    • Genetic Associations and Epidemiology 5
    • Genomics and Rare Diseases 4
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genomic variations and chromosomal abnormalities 2
    • Forensic and Genetic Research 1

Daniel J. Balick

12 papers receiving 571 citations

Peers

Daniel J. Balick
Comparison fields: 5 of 71
  • Genetics 516
  • Molecular Biology 202
  • Virology 12
  • Modeling and Simulation 10
  • Public Health, Environmental and Occupational Health 61
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Balick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Balick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Balick. 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 Daniel J. Balick. The network helps show where Daniel J. Balick may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Balick, 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 Daniel J. Balick Line = papers co-authored together Daniel J. Balick links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2012141
2 2015133
3 201779
4 201971
5 201265
6 201553
7 201915
8 20219
9 20215
10 20242
11 20251
12 20211

About Daniel J. Balick

Daniel J. Balick is a scholar working on Genetics, Molecular Biology, Sociology and Political Science, Public Health, Environmental and Occupational Health and Cancer Research, having authored 12 papers that have together received 575 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Genetics (516 citations), Molecular Biology (202 citations), Virology (12 citations), Modeling and Simulation (10 citations) and Public Health, Environmental and Occupational Health (61 citations). Daniel J. Balick has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Shamil Sunyaev, Michael M. Desai, Ron Do, David Reich, Benjamin H. Good, Oskar Hallatschek, Igor M. Rouzine, Ivan Adzhubei, Heng Li and Christopher A. Cassa. Their work appears in journals such as Nature Genetics, Nature Communications, PLoS Genetics, The American Journal of Human Genetics and Molecular Biology and Evolution.

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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