Gökçen Eraslan

6.7k total citations · 4 hit papers
12 papers, 2.6k citations indexed

About

Gökçen Eraslan is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Gökçen Eraslan has authored 12 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 1 paper in Health, Toxicology and Mutagenesis and 1 paper in Oncology. Recurrent topics in Gökçen Eraslan's work include Single-cell and spatial transcriptomics (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA and protein synthesis mechanisms (3 papers). Gökçen Eraslan is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA and protein synthesis mechanisms (3 papers). Gökçen Eraslan collaborates with scholars based in United States, Germany and France. Gökçen Eraslan's co-authors include Fabian J. Theis, Žiga Avsec, Julien Gagneur, Maria Mircea, Lukas M. Simon, Nikola S. Mueller, Aviv Regev, Gabriel K. Griffin, Mostafa Ronaghi and Jonas Frisén and has published in prestigious journals such as Cell, Nature Communications and Nature Biotechnology.

In The Last Decade

Gökçen Eraslan

10 papers receiving 2.6k citations

Hit Papers

4 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.

Deep learning: new computational modelling techniques for genomics

2019 715 citations Gökçen Eraslan, Žiga Avsec et al. Nature Reviews Genetics profile →
High-definition spatial transcriptomics for in situ tissue profiling

2019 705 citations Sanja Vicković, Gökçen Eraslan et al. Nature Methods profile →
Single-cell RNA-seq denoising using a deep count autoencoder

2019 611 citations Gökçen Eraslan, Lukas M. Simon et al. Nature Communications profile →
The Human and Mouse Enteric Nervous System at Single-Cell Resolution

2020 337 citations Eugene Drokhlyansky, Christopher S. Smillie et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gökçen Eraslan United States	8	2.0k	419	345	327	182	12	2.6k
Tallulah Andrews United Kingdom	16	2.6k 1.3×	701 1.7×	414 1.2×	648 2.0×	161 0.9×	23	3.4k
Joseph T. Roland United States	22	837 0.4×	157 0.4×	67 0.2×	220 0.7×	296 1.6×	71	1.8k
Michael D. Morgan United Kingdom	16	1.5k 0.8×	298 0.7×	278 0.8×	573 1.8×	185 1.0×	25	2.3k
Stephanie C. Hicks United States	31	2.4k 1.2×	491 1.2×	313 0.9×	359 1.1×	273 1.5×	87	4.2k
Philipp Angerer Germany	6	3.3k 1.7×	663 1.6×	568 1.6×	1.1k 3.3×	208 1.1×	11	4.3k
Malte D. Luecken Germany	11	1.8k 0.9×	394 0.9×	387 1.1×	435 1.3×	85 0.5×	18	2.2k
Lukas M. Simon United States	18	2.3k 1.2×	640 1.5×	337 1.0×	529 1.6×	180 1.0×	47	3.4k
Samantha J. Riesenfeld United States	13	868 0.4×	161 0.4×	111 0.3×	386 1.2×	112 0.6×	23	1.6k
Maren Büttner Germany	16	2.2k 1.1×	422 1.0×	514 1.5×	489 1.5×	156 0.9×	27	2.7k
Ludvig Larsson Sweden	20	1.7k 0.9×	420 1.0×	262 0.8×	429 1.3×	69 0.4×	31	2.2k

Countries citing papers authored by Gökçen Eraslan

Since Specialization

Citations

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

Fields of papers citing papers by Gökçen Eraslan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gökçen Eraslan

This figure shows the co-authorship network connecting the top 25 collaborators of Gökçen Eraslan. A scholar is included among the top collaborators of Gökçen Eraslan 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 Gökçen Eraslan. Gökçen Eraslan 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:

12 of 12 papers shown

1.

Lal, Avantika, et al.. (2025). Polygraph: a software framework for the systematic assessment of synthetic regulatory DNA elements. Genome biology. 26(1). 114–114.

2.

Lal, Avantika, et al.. (2025). gReLU: a comprehensive framework for DNA sequence modeling and design. Nature Methods. 22(11). 2253–2257.

3.

Lal, Avantika, David Garfield, Tommaso Biancalani, & Gökçen Eraslan. (2024). Designing realistic regulatory DNA with autoregressive language models. Genome Research. 34(9). 1411–1420. 9 indexed citations

4.

Eraslan, Gökçen, et al.. (2022). ChromDMM: a Dirichlet-multinomial mixture model for clustering heterogeneous epigenetic data. Bioinformatics. 38(16). 3863–3870. 2 indexed citations

5.

Fiškin, Evgenij, Caleb A. Lareau, Leif S. Ludwig, et al.. (2021). Single-cell profiling of proteins and chromatin accessibility using PHAGE-ATAC. Nature Biotechnology. 40(3). 374–381. 51 indexed citations

6.

Andrews, Tallulah, Jawairia Atif, Jeff C. Liu, et al.. (2021). Single‐Cell, Single‐Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity. Hepatology Communications. 6(4). 821–840. 151 indexed citations

7.

Megill, Colin, Bruce Martin, Charlotte A. Weaver, et al.. (2020). chanzuckerberg/cellxgene: Release 0.15.0. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

8.

Drokhlyansky, Eugene, Christopher S. Smillie, Nicholas Van Wittenberghe, et al.. (2020). The Human and Mouse Enteric Nervous System at Single-Cell Resolution. Cell. 182(6). 1606–1622.e23. 337 indexed citations breakdown →

9.

Vicković, Sanja, Gökçen Eraslan, Fredrik Salmén, et al.. (2019). High-definition spatial transcriptomics for in situ tissue profiling. Nature Methods. 16(10). 987–990. 705 indexed citations breakdown →

10.

Rood, Jennifer, Tim Stuart, Shila Ghazanfar, et al.. (2019). Toward a Common Coordinate Framework for the Human Body. Cell. 179(7). 1455–1467. 62 indexed citations

11.

Eraslan, Gökçen, Žiga Avsec, Julien Gagneur, & Fabian J. Theis. (2019). Deep learning: new computational modelling techniques for genomics. Nature Reviews Genetics. 20(7). 389–403. 715 indexed citations breakdown →

12.

Eraslan, Gökçen, Lukas M. Simon, Maria Mircea, Nikola S. Mueller, & Fabian J. Theis. (2019). Single-cell RNA-seq denoising using a deep count autoencoder. Nature Communications. 10(1). 390–390. 611 indexed citations breakdown →

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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