Daniel S. Peeper

27.3k citations
115 papers · 14.1k indexed · 6 hit papers · h-index 47
  • Aging 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
    • Melanoma and MAPK Pathways 30
    • Ubiquitin and proteasome pathways 10

Daniel S. Peeper

110 papers receiving 13.9k citations

Hit Papers

Low MITF/AXL ratio predicts early resistance to m...427200520262012201950010001.5k

Peers

Daniel S. Peeper
Comparison fields: 5 of 133
  • Aging 436
  • Cancer Research 2.6k
  • Oncology 4.6k
  • Physiology 3.5k
  • Molecular Biology 8.9k
Replace Lars Zender with:
Lars Zender Germany
Wenyi Wei United States
Eva Hernando United States
Leif W. Ellisen United States
Athena W. Lin United States
Mila E. McCurrach United States
Alan K. Meeker United States
Sandy Chang United States
Michael T. Hemann United States
Saverio Minucci Italy
Daniel S. Peeper relative to Lars Zender Germany Lars Zender's profile →
Citations per field
00.5×1.5×
Lars Zender · 1×
Citations per year

Countries citing papers authored by Daniel S. Peeper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel S. Peeper Line = papers co-authored together Daniel S. Peeper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20242
3 20234
4 20230
5 202317
6 202310
7 202230
8 20213
9 202148
10 202066
11 201916
12 201730
13 201765
14 2015103
15 201413
16 201349
17 200916
18
Senescence-messaging secretome: SMS-ing cellular stressbreakdown →
2009700
19 2006280
20 199436

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.

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