Basak Eraslan

1.3k total citations · 1 hit paper
5 papers, 564 citations indexed

About

Basak Eraslan is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Basak Eraslan has authored 5 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Basak Eraslan's work include RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA Research and Splicing (2 papers). Basak Eraslan is often cited by papers focused on RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA Research and Splicing (2 papers). Basak Eraslan collaborates with scholars based in United States, Sweden and Germany. Basak Eraslan's co-authors include Mathias Uhlén, Bernhard Küster, Hannes Hahne, Björn M. Hallström, Anna Asplund, Julien Gagneur, Fredrik Pontén, Thomas A. Hopf, Thomas Wieland and Dongxue Wang and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Nature Biotechnology.

In The Last Decade

Basak Eraslan

5 papers receiving 562 citations

Hit Papers

A deep proteome and transcriptome abundance atlas of 29 h... 2019 2026 2021 2023 2019 100 200 300 400
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.

  1. A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
    2019 449 citations Dongxue Wang, Basak Eraslan et al. Molecular Systems Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basak Eraslan United States 5 403 119 67 61 59 5 564
Babylakshmi Muthusamy India 13 311 0.8× 84 0.7× 66 1.0× 48 0.8× 71 1.2× 41 543
Georgia Arentz Australia 16 327 0.8× 197 1.7× 83 1.2× 58 1.0× 45 0.8× 23 592
Xiao-Sheng Jiang United States 10 334 0.8× 156 1.3× 29 0.4× 32 0.5× 51 0.9× 14 500
Amanda J. Guise United States 13 674 1.7× 200 1.7× 41 0.6× 42 0.7× 52 0.9× 17 833
Corina Mayrhofer Austria 12 284 0.7× 91 0.8× 40 0.6× 28 0.5× 50 0.8× 23 463
Eva C. Keilhauer Germany 8 499 1.2× 106 0.9× 33 0.5× 30 0.5× 53 0.9× 9 623
Darragh P. O’Brien United Kingdom 13 310 0.8× 73 0.6× 46 0.7× 73 1.2× 45 0.8× 26 560
Alberto Calderone Italy 12 521 1.3× 43 0.4× 41 0.6× 57 0.9× 41 0.7× 16 635
Katarina Davalieva North Macedonia 13 261 0.6× 106 0.9× 44 0.7× 78 1.3× 48 0.8× 34 512
Alejandro J. Brenes United Kingdom 9 300 0.7× 96 0.8× 211 3.1× 65 1.1× 48 0.8× 16 535

Countries citing papers authored by Basak Eraslan

Since Specialization
Citations

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

Fields of papers citing papers by Basak Eraslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Basak Eraslan

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

All Works

5 of 5 papers shown
1.
Stražar, Martin, Jihye Park, Jennifer G. Abelin, et al.. (2023). HLA-II immunopeptidome profiling and deep learning reveal features of antigenicity to inform antigen discovery. Immunity. 56(7). 1681–1698.e13. 20 indexed citations
2.
Scheid, Johannes F., Basak Eraslan, Eric Brown, et al.. (2023). Remodeling of colon plasma cell repertoire within ulcerative colitis patients. The Journal of Experimental Medicine. 220(4). 10 indexed citations
3.
Yao, Douglas, Loïc Binan, Brooke Simonton, et al.. (2023). Scalable genetic screening for regulatory circuits using compressed Perturb-seq. Nature Biotechnology. 42(8). 1282–1295. 37 indexed citations
4.
Eraslan, Basak, Dongxue Wang, Mirjana Gušić, et al.. (2019). Quantification and discovery of sequence determinants of protein‐per‐mRNA amount in 29 human tissues. Molecular Systems Biology. 15(2). e8513–e8513. 48 indexed citations
5.
Wang, Dongxue, Basak Eraslan, Thomas Wieland, et al.. (2019). A deep proteome and transcriptome abundance atlas of 29 healthy human tissues. Molecular Systems Biology. 15(2). e8503–e8503. 449 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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