Erşen Kavak

1.2k total citations · 1 hit paper
6 papers, 842 citations indexed

About

Erşen Kavak is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Erşen Kavak has authored 6 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Erşen Kavak's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Genomics and Chromatin Dynamics (2 papers). Erşen Kavak is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Genomics and Chromatin Dynamics (2 papers). Erşen Kavak collaborates with scholars based in Sweden, Türkiye and United States. Erşen Kavak's co-authors include Rickard Sandberg, Masahiko Imashimizu, Bojan Shutinoski, Mikhail Kashlev, Shalini Oberdoerffer, Melissa K. Gregory, Sanjeev Shukla, Philipp Oberdoerffer, Daniel Ramsköld and Linkiat Lee and has published in prestigious journals such as Nature, Nucleic Acids Research and International Journal of Cancer.

In The Last Decade

Erşen Kavak

6 papers receiving 831 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.

CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing

2011 743 citations Sanjeev Shukla, Erşen Kavak et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erşen Kavak Sweden	5	739	163	134	63	48	6	842
Sahar Gelfman United States	10	758 1.0×	154 0.9×	121 0.9×	69 1.1×	39 0.8×	19	913
Syed Khund-Sayeed United States	9	886 1.2×	185 1.1×	86 0.6×	58 0.9×	58 1.2×	13	1.1k
Marija Klasić Croatia	7	654 0.9×	154 0.9×	38 0.3×	65 1.0×	65 1.4×	13	729
Svetlana Petruk United States	18	1.3k 1.8×	174 1.1×	197 1.5×	192 3.0×	66 1.4×	27	1.6k
Leath A. Tonkin United States	8	785 1.1×	152 0.9×	60 0.4×	128 2.0×	45 0.9×	8	913
Chin Thing Ong Singapore	5	755 1.0×	206 1.3×	78 0.6×	48 0.8×	31 0.6×	8	841
Carsten Stuckenholz United States	14	481 0.7×	138 0.8×	70 0.5×	49 0.8×	57 1.2×	20	697
Katherine M. Lelli United States	7	874 1.2×	170 1.0×	55 0.4×	76 1.2×	54 1.1×	8	967
Rebecca R. Viales Germany	15	664 0.9×	125 0.8×	136 1.0×	209 3.3×	29 0.6×	20	852

Countries citing papers authored by Erşen Kavak

Since Specialization

Citations

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

Fields of papers citing papers by Erşen Kavak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erşen Kavak

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

All Works

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6 of 6 papers shown

1.

Xie, Hong, Linkiat Lee, Erşen Kavak, et al.. (2014). Novel functions and targets of miR‐944 in human cervical cancer cells. International Journal of Cancer. 136(5). E230–41. 42 indexed citations

2.

Shukla, Sanjeev, Erşen Kavak, Melissa K. Gregory, et al.. (2011). CTCF-promoted RNA polymerase II pausing links DNA methylation to splicing. Nature. 479(7371). 74–79. 743 indexed citations breakdown →

3.

Ramsköld, Daniel, Erşen Kavak, & Rickard Sandberg. (2011). How to Analyze Gene Expression Using RNA-Sequencing Data. Methods in molecular biology. 802. 259–274. 20 indexed citations

4.

Kavak, Erşen, Ayaz Najafov, Nuri Öztürk, et al.. (2010). Analysis of the Wnt/B-catenin/TCF4 pathway using SAGE, genome-wide microarray and promoter analysis: Identification of BRI3 and HSF2 as novel targets. Cellular Signalling. 22(10). 1523–1535. 18 indexed citations

5.

Kavak, Erşen, Mustafa Ünlü, Monica Nistér, & Ahmet Koman. (2010). Meta-analysis of cancer gene expression signatures reveals new cancer genes, SAGE tags and tumor associated regions of co-regulation. Nucleic Acids Research. 38(20). 7008–7021. 18 indexed citations

6.

İşler, Cihan, Taner Tanrıverdi, Erşen Kavak, et al.. (2008). Prenatal expressions of hyperpolarization-activated cyclic-nucleotide-gated channel (HCN) genes in dysplastic hippocampi in rats.. PubMed. 18(4). 327–35. 1 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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