Nils Eling
- Aging top 5%
- Cancer Research top 5%
- Biophysics top 2%
- Cell Image Analysis Techniques 5
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 11
- Epigenetics and DNA Methylation 2
- Gene Regulatory Network Analysis 2
- Immunology top 10%
- Immune cells in cancer 3
- T-cell and B-cell Immunology 3
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- Cancer Immunotherapy and Biomarkers 3
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- Sirtuins and Resveratrol in Medicine 2
- Co-authors
- John C. MarioniJohn HazinNathan BradyAnne Hamacher‐BradyCelia Pilar Martinez‐JimenezDuncan T. OdomBernd BodenmillerMichael D. Morgan
- Cited by
- AgingCancer ResearchBiophysics
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Nils Eling
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Aging 55
- Cancer Research 397
- Biophysics 126
- Molecular Biology 969
- Immunology 292
Countries citing papers authored by Nils Eling
This map shows the geographic impact of Nils Eling'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 Eling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nils Eling more than expected).
Fields of papers citing papers by Nils Eling
This network shows the impact of papers produced by Nils Eling. 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 Eling. The network helps show where Nils Eling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nils Eling, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 25 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 88 | |
| 8 | Multiplexed imaging mass cytometry of the chemokine milieus in melanoma characterizes features of the response to immunotherapybreakdown → | 2022 | 156 |
| 9 | 2021 | 92 | |
| 10 | 2020 | 42 | |
| 11 | 2019 | 154 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 47 | |
| 14 | 2019 | 174 | |
| 15 | 2018 | 48 | |
| 16 | 2018 | 38 | |
| 17 | 2017 | 212 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 5 | |
| 20 | Identification of artesunate as a specific activator of ferroptosis in pancreatic cancer cellsbreakdown → | 2015 | 442 |
About Nils Eling
Nils Eling is a scholar working on Biophysics, Aging and Geriatrics and Gerontology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (11 papers), Cell Image Analysis Techniques (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), T-cell and B-cell Immunology (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Epigenetics and DNA Methylation (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Aging (55 citations), Cancer Research (397 citations) and Biophysics (126 citations). Nils Eling has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include John C. Marioni, John Hazin, Nathan Brady, Anne Hamacher‐Brady, Celia Pilar Martinez‐Jimenez, Duncan T. Odom, Bernd Bodenmiller, Michael D. Morgan, Daniel Schulz and Tobias Hoch. Their work appears in journals such as Nature Communications, Science, Nature Reviews Genetics, Cancer Research and Bioinformatics.
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.