Nils Gehlenborg
Impact in
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- RNA Research and Splicing
- RNA modifications and cancer
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- Data Visualization and Analytics
Papers in
- Biophysics 13
- Cell Image Analysis Techniques 13
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- Scientific Computing and Data Management 12
- Co-authors
- Alexander LexJake R. ConwayHanspeter PfisterHendrik StrobeltRomain VuillemotMarc StreitBang WongSamuel Gratzl
- Journals
- IEEE Transactions on Visualization and Computer Graphics (15 papers)Nature Methods (12 papers)Bioinformatics (10 papers)BMC Bioinformatics (5 papers)Computer Graphics Forum (5 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Nils Gehlenborg
79 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Molecular Biology 3.2k
- Computer Vision and Pattern Recognition 743
- Cancer Research 488
- Biophysics 174
- Aging 39
Countries citing papers authored by Nils Gehlenborg
This map shows the geographic impact of Nils Gehlenborg'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 Nils Gehlenborg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nils Gehlenborg more than expected).
Fields of papers citing papers by Nils Gehlenborg
This network shows the impact of papers produced by Nils Gehlenborg. 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 Nils Gehlenborg. The network helps show where Nils Gehlenborg may publish in the future.
Co-authors
The 25 scholars most cited alongside Nils Gehlenborg, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | A foundation model for clinician-centered drug repurposing Hit paper breakdown → | 2024 | 72 |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 24 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 24 | |
| 14 | 2017 | 10 | |
| 15 | UpSetR: an R package for the visualization of intersecting sets and their properties Hit paper breakdown → | 2017 | 2036 |
| 16 | 2016 | 56 | |
| 17 | 2016 | 34 | |
| 18 | 2014 | 7 | |
| 19 | 2012 | 15 | |
| 20 | 2012 | 9 |
About Nils Gehlenborg
Nils Gehlenborg is a scholar working on Biophysics, Information Systems and Management, Computer Vision and Pattern Recognition, Health Informatics and Molecular Biology, having authored 86 papers that have together received 6.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (25 papers), Bioinformatics and Genomic Networks (20 papers), Gene expression and cancer classification (16 papers), Cell Image Analysis Techniques (13 papers), Scientific Computing and Data Management (12 papers), Biomedical Text Mining and Ontologies (10 papers), Genomics and Phylogenetic Studies (8 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Computer Vision and Pattern Recognition (743 citations), Cancer Research (488 citations), Biophysics (174 citations) and Aging (39 citations). Nils Gehlenborg has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Alexander Lex, Jake R. Conway, Hanspeter Pfister, Hendrik Strobelt, Romain Vuillemot, Marc Streit, Bang Wong, Samuel Gratzl, Anne‐Claude Gavin and Séan O’Donoghue. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Nature Methods, Bioinformatics, BMC Bioinformatics and Computer Graphics Forum.
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.