Sündüz Keleş

11.4k citations
135 papers · 6.0k indexed · 1 hit paper · h-index 41
Topics
Genomics and Chromatin Dynamics (44 papers)Epigenetics and DNA Methylation (28 papers)Gene expression and cancer classification (25 papers)

In The Last Decade

Sündüz Keleş

130 papers receiving 5.9k citations

Hit Papers

Sparse Partial Least Squares Regression for Simultaneous ...20102026201520202010200400600

Peers

Sündüz Keleş
Comparison fields: 5 of 183
  • Molecular Biology 3.6k
  • Genetics 1.1k
  • Immunology 477
  • Physiology 473
  • Cancer Research 463
Replace Christina Kendziorski with:
Christina Kendziorski United States
Jean Yang Australia
Grier P. Page United States
Benjamin M. Bolstad United States
Magnus Åstrand Sweden
Arnold J. Stromberg United States
Kenny Ye United States
Oliver Stegle United Kingdom
Jörg Rahnenführer Germany
Terrence S. Furey United States
Sündüz Keleş relative to Christina Kendziorski United States Christina Kendziorski's profile →
Citations per field
00.5×1.5×
Christina Kendziorski · 1×
Citations per year

Countries citing papers authored by Sündüz Keleş

Since Specialization
Citations

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

Fields of papers citing papers by Sündüz Keleş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sündüz Keleş

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 10
3 5
4 0
5 4
6 6
7 2
8 11
9 7
10 1
11 30
12 2
13 45
14 151
15 18
16 37
17
Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming
2
18 36
19 195
20 33

About Sündüz Keleş

Sündüz Keleş is a scholar working on Molecular Biology, Genetics and Aging, having authored 135 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (44 papers), Epigenetics and DNA Methylation (28 papers) and Gene expression and cancer classification (25 papers). The work is most often cited by research in Aging (121 citations), Molecular Biology (3.6k citations) and Statistics and Probability (336 citations). Sündüz Keleş has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Hyonho Chun, Emery H. Bresnick, Dongjun Chung, Mark J. van der Laan, Kun Liang, Pei Fen Kuan, Kirby D. Johnson, Tohru Fujiwara, Daniel S. Greenspan and Sandrine Dudoit. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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