Ulaş Işıldak

506 total citations · 1 hit paper
7 papers, 217 citations indexed

About

Ulaş Işıldak is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Ulaş Işıldak has authored 7 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Ulaş Işıldak's work include Genetic diversity and population structure (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Ulaş Işıldak is often cited by papers focused on Genetic diversity and population structure (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Ulaş Işıldak collaborates with scholars based in Türkiye, United Kingdom and United States. Ulaş Işıldak's co-authors include Matteo Fumagalli, Piya Changmai, Pavel Flegontov, David Reich, Robert Maier, Olga Flegontova, Alessandro Stella, Linda Pattini, Sara Mathieson and Mehmet Somel and has published in prestigious journals such as Scientific Reports, Genetics and PLoS Genetics.

In The Last Decade

Ulaş Işıldak

7 papers receiving 216 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On the limits of fitting complex models of population history to f-statistics

2023 78 citations Robert Maier, Pavel Flegontov et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulaş Işıldak Türkiye	6	142	81	17	16	15	7	217
Hiba Babiker Germany	6	110 0.8×	57 0.7×	7 0.4×	12 0.8×	18 1.2×	11	165
Robin J. Hofmeister Switzerland	6	256 1.8×	124 1.5×	5 0.3×	15 0.9×	20 1.3×	10	342
Simone Rubinacci Switzerland	10	369 2.6×	180 2.2×	30 1.8×	21 1.3×	31 2.1×	22	512
Qiliang Ding United States	8	186 1.3×	102 1.3×	7 0.4×	27 1.7×	72 4.8×	18	315
Kae Koganebuchi Japan	7	68 0.5×	45 0.6×	8 0.5×	6 0.4×	15 1.0×	17	140
Sara Sheehan United States	4	239 1.7×	127 1.6×	30 1.8×	16 1.0×	5 0.3×	4	315
Monica D. Ramstetter United States	4	144 1.0×	53 0.7×	6 0.4×	4 0.3×	15 1.0×	4	222
Derek E. Kelly United States	6	78 0.5×	91 1.1×	13 0.8×	5 0.3×	23 1.5×	7	202
Shaila Musharoff United States	5	243 1.7×	96 1.2×	3 0.2×	3 0.2×	11 0.7×	6	323
Pittayawat Pittayaporn Thailand	8	117 0.8×	72 0.9×	24 1.4×	5 0.3×	24 1.6×	24	203

Countries citing papers authored by Ulaş Işıldak

Since Specialization

Citations

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

Fields of papers citing papers by Ulaş Işıldak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulaş Işıldak

This figure shows the co-authorship network connecting the top 25 collaborators of Ulaş Işıldak. A scholar is included among the top collaborators of Ulaş Işıldak 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 Ulaş Işıldak. Ulaş Işıldak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Flegontova, Olga, Ulaş Işıldak, Eren Yüncü, et al.. (2025). Performance of qpAdm -based screens for genetic admixture on graph–shaped histories and stepping stone landscapes. Genetics. 230(1). 3 indexed citations

2.

Maier, Robert, Pavel Flegontov, Olga Flegontova, et al.. (2023). On the limits of fitting complex models of population history to f-statistics. eLife. 12. 78 indexed citations breakdown →

3.

Flegontov, Pavel, Ulaş Işıldak, Robert Maier, et al.. (2023). Modeling of African population history using f-statistics is biased when applying all previously proposed SNP ascertainment schemes. PLoS Genetics. 19(9). e1010931–e1010931. 9 indexed citations

4.

Işıldak, Ulaş, Çağdaş Devrim Son, Charles Duyckaerts, et al.. (2022). Somatic copy number variant load in neurons of healthy controls and Alzheimer’s disease patients. Acta Neuropathologica Communications. 10(1). 175–175. 5 indexed citations

5.

Işıldak, Ulaş, Alessandro Stella, & Matteo Fumagalli. (2021). Distinguishing between recent balancing selection and incomplete sweep using deep neural networks. Molecular Ecology Resources. 21(8). 2706–2718. 29 indexed citations

6.

Işıldak, Ulaş, Mehmet Somel, Janet M. Thornton, & Handan Melike Dönertaş. (2020). Temporal changes in the gene expression heterogeneity during brain development and aging. Scientific Reports. 10(1). 4080–4080. 29 indexed citations

7.

Işıldak, Ulaş, et al.. (2019). ImaGene: a convolutional neural network to quantify natural selection from genomic data. BMC Bioinformatics. 20(S9). 337–337. 64 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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