Daniel S. Peeper
- Aging top 0.5%
- Cancer Research top 0.5%
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 15
- Cancer-related Molecular Pathways 13
- Cancer Cells and Metastasis 11
- Cutaneous Melanoma Detection and Management 10
- CAR-T cell therapy research 9
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence 20
- Molecular Biology top 0.5%
- Melanoma and MAPK Pathways 30
- Ubiquitin and proteasome pathways 10
- Co-authors
- Thomas KuilmanChrysiis MichaloglouWolter J. MooiLiesbeth C.W. VredeveldBenjamin D. RowlandSirith DoumaThomas R. GeigerRené Bernards
- Cited by
- AgingCancer ResearchOncology
- Journals
- Cancer Research (7 papers)Pigment Cell & Melanoma Research (6 papers)Genes & Development (5 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Daniel S. Peeper
110 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Aging 436
- Cancer Research 2.6k
- Oncology 4.6k
- Physiology 3.5k
- Molecular Biology 8.9k
Countries citing papers authored by Daniel S. Peeper
This map shows the geographic impact of Daniel S. Peeper'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 Daniel S. Peeper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Peeper more than expected).
Fields of papers citing papers by Daniel S. Peeper
This network shows the impact of papers produced by Daniel S. Peeper. 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 Daniel S. Peeper. The network helps show where Daniel S. Peeper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S. Peeper, 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 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 30 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 48 | |
| 10 | 2020 | 66 | |
| 11 | 2019 | 16 | |
| 12 | 2017 | 30 | |
| 13 | 2017 | 65 | |
| 14 | 2015 | 103 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 49 | |
| 17 | 2009 | 16 | |
| 18 | Senescence-messaging secretome: SMS-ing cellular stressbreakdown → | 2009 | 700 |
| 19 | 2006 | 280 | |
| 20 | 1994 | 36 |
About Daniel S. Peeper
Daniel S. Peeper is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 115 papers that have together received 14.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (30 papers), Telomeres, Telomerase, and Senescence (20 papers), Cancer Immunotherapy and Biomarkers (15 papers), Cancer-related Molecular Pathways (13 papers), Cancer Cells and Metastasis (11 papers), Ubiquitin and proteasome pathways (10 papers), Cutaneous Melanoma Detection and Management (10 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Aging (436 citations), Cancer Research (2.6k citations) and Oncology (4.6k citations). Daniel S. Peeper has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Thomas Kuilman, Chrysiis Michaloglou, Wolter J. Mooi, Liesbeth C.W. Vredeveld, Benjamin D. Rowland, Sirith Douma, Thomas R. Geiger, René Bernards, Christophe Desmet and W. J. Mooi. Their work appears in journals such as Cancer Research, Pigment Cell & Melanoma Research, Genes & Development, Nature and Nature Communications.
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.