Ümit Seren

3.1k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Ümit Seren is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Ümit Seren has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Plant Science and 6 papers in Molecular Biology. Recurrent topics in Ümit Seren's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Plant nutrient uptake and metabolism (4 papers) and Genomics and Phylogenetic Studies (4 papers). Ümit Seren is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Plant nutrient uptake and metabolism (4 papers) and Genomics and Phylogenetic Studies (4 papers). Ümit Seren collaborates with scholars based in Austria, United States and Switzerland. Ümit Seren's co-authors include Magnus Nordborg, Arthur Korte, Bjarni J. Vilhjálmsson, Vincent Segura, Alexander Platt, Dazhe Meng, Viktoria Nizhynska, Karsten Borgwardt, Dominik G. Grimm and Detlef Weigel and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Ümit Seren

12 papers receiving 1.4k citations

Hit Papers

An efficient multi-locus mixed-model approach for genome-... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ümit Seren Austria 10 943 716 448 64 63 12 1.4k
Chouxian Ma China 6 760 0.8× 539 0.8× 304 0.7× 44 0.7× 48 0.8× 7 1.1k
Timothy Beissinger United States 16 747 0.8× 650 0.9× 260 0.6× 33 0.5× 75 1.2× 31 1.1k
Jennifer Jaqueth United States 12 628 0.7× 419 0.6× 233 0.5× 58 0.9× 45 0.7× 16 829
Roman Briskine United States 18 1.1k 1.1× 472 0.7× 558 1.2× 120 1.9× 94 1.5× 20 1.4k
Eli Rodgers‐Melnick United States 10 845 0.9× 496 0.7× 546 1.2× 51 0.8× 90 1.4× 11 1.2k
Honggang Zheng United States 15 1.3k 1.4× 835 1.2× 493 1.1× 82 1.3× 76 1.2× 19 1.7k
Alessandro Davassi United Kingdom 6 783 0.8× 618 0.9× 158 0.4× 31 0.5× 65 1.0× 6 1.0k
Kelly Swarts United States 9 936 1.0× 822 1.1× 281 0.6× 59 0.9× 68 1.1× 16 1.2k
Héctor Sánchez‐Villeda United States 11 1.0k 1.1× 779 1.1× 287 0.6× 31 0.5× 72 1.1× 15 1.3k

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-authorship network of co-authors of Ümit Seren

This figure shows the co-authorship network connecting the top 25 collaborators of Ümit Seren. A scholar is included among the top collaborators of Ümit Seren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ümit Seren. Ümit Seren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Togninalli, Matteo, Ümit Seren, J. Grey Monroe, et al.. (2019). AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana. Nucleic Acids Research. 48(D1). D1063–D1068. 44 indexed citations
2.
Seren, Ümit. (2018). GWA-Portal: Genome-Wide Association Studies Made Easy. Methods in molecular biology. 1761. 303–319. 17 indexed citations
3.
Togninalli, Matteo, Ümit Seren, Dazhe Meng, et al.. (2017). The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog. Nucleic Acids Research. 46(D1). D1150–D1156. 61 indexed citations
4.
Pisupati, Rahul, Ilka Reichardt, Ümit Seren, et al.. (2017). Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples. Scientific Data. 4(1). 170184–170184. 24 indexed citations
5.
Seren, Ümit, Dominik G. Grimm, Joffrey Fitz, et al.. (2016). AraPheno: a public database for Arabidopsis thaliana phenotypes. Nucleic Acids Research. 45(D1). D1054–D1059. 64 indexed citations
6.
Kerdaffrec, Envel, Danièle Filiault, Arthur Korte, et al.. (2016). Multiple alleles at a single locus control seed dormancy in Swedish Arabidopsis. eLife. 5. 49 indexed citations
7.
Slovak, Radka, et al.. (2015). Genome-Wide Association Mapping in Plants Exemplified for Root Growth in Arabidopsis thaliana. Methods in molecular biology. 1284. 343–357. 4 indexed citations
8.
Long, Quan, Fernando A. Rabanal, Dazhe Meng, et al.. (2013). Massive genomic variation and strong selection in Arabidopsis thaliana lines from Sweden. Nature Genetics. 45(8). 884–890. 272 indexed citations
9.
Long, Quan, et al.. (2013). JAWAMix5: an out-of-core HDF5-based java implementation of whole-genome association studies using mixed models. Bioinformatics. 29(9). 1220–1222. 9 indexed citations
10.
Segura, Vincent, Bjarni J. Vilhjálmsson, Alexander Platt, et al.. (2012). An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations. Nature Genetics. 44(7). 825–830. 709 indexed citations breakdown →
11.
Seren, Ümit, Bjarni J. Vilhjálmsson, Matthew Horton, et al.. (2012). GWAPP: A Web Application for Genome-Wide Association Mapping in Arabidopsis  . The Plant Cell. 24(12). 4793–4805. 127 indexed citations
12.
Huang, Yi‐Shuian, Matthew Horton, Bjarni J. Vilhjálmsson, et al.. (2011). Analysis and visualization of Arabidopsis thaliana GWAS using web 2.0 technologies. Database. 2011(0). bar014–bar014. 5 indexed citations

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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