Sevi Durdu

1.2k total citations
10 papers, 833 citations indexed

About

Sevi Durdu is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Sevi Durdu has authored 10 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Immunology. Recurrent topics in Sevi Durdu's work include Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Sevi Durdu is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Sevi Durdu collaborates with scholars based in Germany, Switzerland and United States. Sevi Durdu's co-authors include Darren Gilmour, A. Kunze, Erika Doná, Wolfgang Huber, Guillaume Valentin, Ana Fernández‐Miñán, Joseph D. Barry, Anton Khmelinskii, Michael Knop and Fargol Mazaheri and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Sevi Durdu

9 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sevi Durdu Germany	8	470	277	181	124	99	10	833
Aparna Ratheesh Australia	12	429 0.9×	522 1.9×	124 0.7×	58 0.5×	56 0.6×	19	825
Catherine Hogan United Kingdom	15	659 1.4×	377 1.4×	154 0.9×	146 1.2×	77 0.8×	25	1.1k
Anand Radhakrishnan United Kingdom	8	463 1.0×	328 1.2×	199 1.1×	232 1.9×	42 0.4×	16	879
Katsiaryna Tarbashevich Germany	21	606 1.3×	317 1.1×	78 0.4×	88 0.7×	55 0.6×	31	935
Siew Ping Han Australia	13	614 1.3×	255 0.9×	73 0.4×	53 0.4×	38 0.4×	14	949
Vasudha Srivastava United States	15	459 1.0×	313 1.1×	90 0.5×	88 0.7×	166 1.7×	19	875
Souichi Kurita Japan	15	368 0.8×	315 1.1×	64 0.4×	68 0.5×	40 0.4×	18	741
Melanie Barzik United States	13	524 1.1×	637 2.3×	69 0.4×	77 0.6×	83 0.8×	17	1.1k
V. Kaye Thomas United States	8	336 0.7×	212 0.8×	542 3.0×	164 1.3×	69 0.7×	11	1.0k
Maria Vologodskaia United States	8	659 1.4×	157 0.6×	204 1.1×	91 0.7×	49 0.5×	8	938

Countries citing papers authored by Sevi Durdu

Since Specialization

Citations

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

Fields of papers citing papers by Sevi Durdu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sevi Durdu

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

All Works

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10 of 10 papers shown

1.

Durdu, Sevi, Murat Iskar, Luke Isbel, et al.. (2025). Chromatin-dependent motif syntax defines differentiation trajectories. Molecular Cell. 85(15). 2900–2918.e16.

2.

Isbel, Luke, Murat Iskar, Sevi Durdu, et al.. (2023). Readout of histone methylation by Trim24 locally restricts chromatin opening by p53. Nature Structural & Molecular Biology. 30(7). 948–957. 26 indexed citations

3.

Domcke, Silvia, C Wirbelauer, Michael Stadler, et al.. (2022). Evidence that direct inhibition of transcription factor binding is the prevailing mode of gene and repeat repression by DNA methylation. Nature Genetics. 54(12). 1895–1906. 91 indexed citations

4.

Grand, Ralph S., Lukas Burger, Cathrin Gräwe, et al.. (2021). BANP opens chromatin and activates CpG-island-regulated genes. Nature. 596(7870). 133–137. 60 indexed citations

5.

Gömceli, İsmail, Barış Emre Dayanç, Mesut Tez, et al.. (2017). A Combined ULBP2 and SEMA5A Expression Signature as a Prognostic and Predictive Biomarker for Colon Cancer. Journal of Cancer. 8(7). 1113–1122. 25 indexed citations

6.

Ronchi, Paolo, et al.. (2017). Targeted Ablation Using Laser Nanosurgery. Methods in molecular biology. 1563. 107–125. 2 indexed citations

7.

Durdu, Sevi, Murat Iskar, Céline Revenu, et al.. (2014). Luminal signalling links cell communication to tissue architecture during organogenesis. Nature. 515(7525). 120–124. 110 indexed citations

8.

Mazaheri, Fargol, Sevi Durdu, Petra de Haas, et al.. (2014). Distinct roles for BAI1 and TIM-4 in the engulfment of dying neurons by microglia. Nature Communications. 5(1). 4046–4046. 156 indexed citations

9.

Doná, Erika, Joseph D. Barry, Guillaume Valentin, et al.. (2013). Directional tissue migration through a self-generated chemokine gradient. Nature. 503(7475). 285–289. 274 indexed citations

10.

Young, Lucy C., Nicole Hartig, Juan A. Osés-Prieto, et al.. (2013). An MRAS, SHOC2, and SCRIB Complex Coordinates ERK Pathway Activation with Polarity and Tumorigenic Growth. Molecular Cell. 52(5). 679–692. 89 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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