Nikolas Baya

2.8k citations
8 papers · 76 · h-index 4

Impact in

    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Evolution and Genetic Dynamics
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • COVID-19 epidemiological studies

Papers in

    • Genetic Associations and Epidemiology 6
    • Genetic and phenotypic traits in livestock 3
    • Genomics and Rare Diseases 1
    • Forensic and Genetic Research 1
    • Nutrition, Genetics, and Disease 1

Nikolas Baya

8 papers receiving 73 citations

Peers

Nikolas Baya
Comparison fields: 5 of 40
  • Genetics 54
  • Modeling and Simulation 6
  • Infectious Diseases 5
  • Computer Graphics and Computer-Aided Design 1
  • Statistics and Probability 2
Replace Liam Abbott with:
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Kristina Calli Canada
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Linhua Lin China
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Nikolas Baya relative to Liam Abbott United States Liam Abbott's profile →
Citations per field
00.5×1.5×2.3×
Liam Abbott · 1×
Citations per year

Countries citing papers authored by Nikolas Baya

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Baya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202328
2 202318
3 202315
4 20229
5 20242
6 20212
7 20251
8 20191

About Nikolas Baya

Nikolas Baya is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 76 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (3 papers), Genomics and Rare Diseases (1 paper), Forensic and Genetic Research (1 paper), Nutrition, Genetics, and Disease (1 paper), COVID-19 epidemiological studies (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Racial and Ethnic Identity Research (1 paper). The work is most often cited by research in Genetics (54 citations), Modeling and Simulation (6 citations), Infectious Diseases (5 citations), Computer Graphics and Computer-Aided Design (1 citation) and Statistics and Probability (2 citations). Nikolas Baya has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Benjamin M. Neale, Duncan S. Palmer, Alex Bloemendal, Wei Zhou, Mathilde Touvier, Liam Abbott, Claire Churchhouse, Emilie M. Wigdor, Shadi Zabad and Simon Gravel. Their work appears in journals such as European Neuropsychopharmacology, Science, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Nature Human Behaviour and The American Journal of Human Genetics.

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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