Basak Eraslan
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
Papers in
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- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Single-cell and spatial transcriptomics 1
- vaccines and immunoinformatics approaches 1
- CRISPR and Genetic Engineering 1
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- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 1
- Co-authors
- Björn M. Hallström (2 shared papers)Fredrik Pontén (2 shared papers)Dongxue Wang (2 shared papers)Mathias Uhlén (2 shared papers)Bernhard Küster (2 shared papers)Julien Gagneur (2 shared papers)Thomas Wieland (2 shared papers)Thomas A. Hopf (2 shared papers)
- Journals
- Molecular Systems Biology (2 papers)The Journal of Experimental Medicine (1 paper)Nature Biotechnology (1 paper)Immunity (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Basak Eraslan
5 papers receiving 562 citations
Basak Eraslan's Hit Papers
Peers
Comparison fields: 5 of 90
- Spectroscopy 119
- Molecular Biology 403
- Cancer Research 61
- Biophysics 19
- Immunology 67
Countries citing papers authored by Basak Eraslan
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
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-authors
The 25 scholars most cited alongside Basak Eraslan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A deep proteome and transcriptome abundance atlas of 29 healthy human tissues Hit paper breakdown → | 2019 | 449 |
| 2 | 2019 | 48 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 10 |
About Basak Eraslan
Basak Eraslan is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 5 papers that have together received 564 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Immunotherapy and Immune Responses (2 papers), RNA modifications and cancer (2 papers), Single-cell and spatial transcriptomics (1 paper), Ferroptosis and cancer prognosis (1 paper), vaccines and immunoinformatics approaches (1 paper), T-cell and B-cell Immunology (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Spectroscopy (119 citations), Molecular Biology (403 citations), Cancer Research (61 citations), Biophysics (19 citations) and Immunology (67 citations). Basak Eraslan has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Björn M. Hallström, Fredrik Pontén, Dongxue Wang, Mathias Uhlén, Bernhard Küster, Julien Gagneur, Thomas Wieland, Thomas A. Hopf, Anna Asplund and Hannes Hahne. Their work appears in journals such as Molecular Systems Biology, The Journal of Experimental Medicine, Nature Biotechnology and Immunity.
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.