Ümit Seren

3.2k citations
12 papers · 1.4k · 1 hit paper · h-index 10

Impact in

  • Genetics top 2%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genetic Associations and Epidemiology
    • Genetics and Plant Breeding
    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 10
    • Genetic Associations and Epidemiology 3
    • Genetic and phenotypic traits in livestock 2
    • Plant nutrient uptake and metabolism 4
    • Plant Molecular Biology Research 2
    • Seed Germination and Physiology 1

Ümit Seren

12 papers receiving 1.4k citations

Ümit Seren's Hit Papers

An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations 2012 · 729 citations
7290+4+9Years since publication200400600

Peers

Ümit Seren
Comparison fields: 5 of 78
  • Genetics 693
  • Plant Science 927
  • Molecular Biology 417
  • Agronomy and Crop Science 60
  • Horticulture 4
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Ümit Seren relative to Alexander Platt United States Alexander Platt's profile →
Citations per field
00.5×1.5×
Alexander Platt · 1×
Citations per year

Countries citing papers authored by Ümit Seren

Since Specialization
Citations

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

Fields of papers citing papers by Ümit Seren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
Hit paper breakdown →
2012729
2 2013274
3 2012128
4 201664
5 201763
6 201649
7 201944
8 201724
9 201817
10 20139
11 20115
12 20154

About Ümit Seren

Ümit Seren is a scholar working on Genetics, Plant Science, Molecular Biology, Environmental Chemistry and Infectious Diseases, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genomics and Phylogenetic Studies (4 papers), Plant nutrient uptake and metabolism (4 papers), Genetic Associations and Epidemiology (3 papers), Gene expression and cancer classification (2 papers), Genetic and phenotypic traits in livestock (2 papers), Plant Molecular Biology Research (2 papers) and Seed Germination and Physiology (1 paper). The work is most often cited by research in Genetics (693 citations), Plant Science (927 citations), Molecular Biology (417 citations), Agronomy and Crop Science (60 citations) and Horticulture (4 citations). Ümit Seren has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Magnus Nordborg, Arthur Korte, Bjarni J. Vilhjálmsson, Vincent Segura, Alexander Platt, Dazhe Meng, Viktoria Nizhynska, Dominik G. Grimm, Detlef Weigel and Karsten Borgwardt. Their work appears in journals such as Nucleic Acids Research, Nature Genetics, The Plant Cell, Database and eLife.

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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