Çiğdem Sevim Bayrak

441 total citations
13 papers, 231 citations indexed

About

Çiğdem Sevim Bayrak is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Çiğdem Sevim Bayrak has authored 13 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Çiğdem Sevim Bayrak's work include Genomics and Rare Diseases (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (4 papers). Çiğdem Sevim Bayrak is often cited by papers focused on Genomics and Rare Diseases (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (4 papers). Çiğdem Sevim Bayrak collaborates with scholars based in United States, United Kingdom and China. Çiğdem Sevim Bayrak's co-authors include Yuval Itan, Tamar Schlick, Bruce D. Gelb, Martin Tristani‐Firouzi, Peng Zhang, Maï Zahran, Namhee Kim, Peter D. Stenson, D.N. Cooper and Susanne Mandrup and has published in prestigious journals such as Nucleic Acids Research, The American Journal of Human Genetics and Human Genetics.

In The Last Decade

Çiğdem Sevim Bayrak

13 papers receiving 230 citations

Peers

Countries citing papers authored by Çiğdem Sevim Bayrak

Since Specialization

Citations

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

Fields of papers citing papers by Çiğdem Sevim Bayrak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Çiğdem Sevim Bayrak. 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 Çiğdem Sevim Bayrak. The network helps show where Çiğdem Sevim Bayrak may publish in the future.

Co-authorship network of co-authors of Çiğdem Sevim Bayrak

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Patient subtyping analysis of baseline multi-omic data reveals distinct pre-immune states associated with antibody response to seasonal influenza vaccination 2024 ·Clinical Immunology ·Çiğdem Sevim Bayrak, Christian V. Forst, Drew R. Jones, David Gresham, Smruti Pushalkar, (unknown), Christine Vogel, Lara K. Mahal, Elodie Ghedin, Ted M. Ross, Adolfo Garcı́a-Sastre, Bin Zhang	1
2	Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set 2023 ·Genome Medicine ·David Stein, (unknown), Yiming Wu, Çiğdem Sevim Bayrak, Peter D. Stenson, D.N. Cooper, Avner Schlessinger, Yuval Itan	18
3	Identifying shared genetic factors underlying epilepsy and congenital heart disease in Europeans 2022 ·Human Genetics ·Yiming Wu, Çiğdem Sevim Bayrak, (unknown), Shixu He, Peter D. Stenson, D.N. Cooper, Yuval Itan, Lei Chen	2
4	A computational approach for detecting physiological homogeneity in the midst of genetic heterogeneity 2021 ·The American Journal of Human Genetics ·Peng Zhang, Aurélie Cobat, Yoon Seung Lee, Yiming Wu, Çiğdem Sevim Bayrak, (unknown), Daniela Matuozzo, Lazaro Lorenzo, Aayushee Jain, Soraya Boucherit, Louis Vallée, (unknown), Stéphane Chabrier, Jean‐Laurent Casanova, Laurent Abel, Shen‐Ying Zhang, Yuval Itan	8
5	Genome-wide discovery of genetic loci that uncouple excess adiposity from its comorbidities 2021 ·Nature Metabolism ·(unknown), Alexander Rauch, Eugenia Mazzaferro, Michael Preuß, Stefania Carobbio, Çiğdem Sevim Bayrak, Nathalie Chami, Zhe Wang, Ursula M. Schick, Nancy Yang, Yuval Itan, Antonio Vidal‐Puig, Marcel den Hoed, Susanne Mandrup, Tuomas O. Kilpeläinen, Ruth J. F. Loos	69
6	Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants 2021 ·The American Journal of Human Genetics ·Çiğdem Sevim Bayrak, David Stein, Aayushee Jain, Kumardeep Chaudhary, Girish N. Nadkarni, Tielman Van Vleck, Anne Puel, Stéphanie Boisson‐Dupuis, Satoshi Okada, Peter D. Stenson, D.N. Cooper, Avner Schlessinger, Yuval Itan	28
7	Identifying disease-causing mutations in genomes of single patients by computational approaches 2020 ·Human Genetics ·Çiğdem Sevim Bayrak, Yuval Itan	7
8	De novo variants in exomes of congenital heart disease patients identify risk genes and pathways 2020 ·Genome Medicine ·Çiğdem Sevim Bayrak, Peng Zhang, Martin Tristani‐Firouzi, Bruce D. Gelb, Yuval Itan	38
9	Dual Graph Partitioning Highlights a Small Group of Pseudoknot-Containing RNA Submotifs 2018 ·Genes ·Swati Jain, Çiğdem Sevim Bayrak, (unknown), Tamar Schlick	10
10	Using sequence signatures and kink-turn motifs in knowledge-based statistical potentials for RNA structure prediction 2017 ·Nucleic Acids Research ·Çiğdem Sevim Bayrak, Namhee Kim, Tamar Schlick	19
11	RAG-3D: a search tool for RNA 3D substructures 2015 ·Nucleic Acids Research ·Maï Zahran, Çiğdem Sevim Bayrak, (unknown), Tamar Schlick	28
12	Conformational transitions in the Ramachandran space of amino acids using the dynamic rotational isomeric state (DRIS) model 2014 ·Molecular BioSystems ·Çiğdem Sevim Bayrak, Burak Erman	2
13	Predicting most probable conformations of a given peptide sequence in the random coil state 2012 ·Molecular BioSystems ·Çiğdem Sevim Bayrak, Burak Erman	1

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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