Peter Staller

3.2k citations
13 papers · 2.7k · 1 hit paper · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • Chemokine receptors and signaling

Papers in

    • Epigenetics and DNA Methylation 5
    • Cancer-related gene regulation 4
    • Ubiquitin and proteasome pathways 3
    • Histone Deacetylase Inhibitors Research 2
    • Cancer-related Molecular Pathways 5
    • Chemokine receptors and signaling 2

Peter Staller

13 papers receiving 2.6k citations

Peter Staller's Hit Papers

Chemokine receptor CXCR4 downregulated by von Hippel–Lindau tumour suppressor pVHL 2003 · 744 citations
7440+7+15Years since publication200400600

Peers

Peter Staller
Comparison fields: 5 of 94
  • Cancer Research 642
  • Oncology 895
  • Molecular Biology 1.9k
  • Immunology 361
  • Aging 22
Replace Daizo Koinuma with:
Daizo Koinuma Japan
Laura Lintault United States
Rónán C. O’Hagan United States
Angera H. Kuo United States
Pedro A. Pérez–Mancera United Kingdom
Jeffrey A. Magee United States
Mark A. Pershouse United States
Matthew V. Lorenzi United States
Theresa LaVallee United States
Thomas Hattier United States
Peter Staller relative to Daizo Koinuma Japan Daizo Koinuma's profile →
Citations per field
00.5×1.5×1.8×
Daizo Koinuma · 1×
Citations per year

Countries citing papers authored by Peter Staller

Since Specialization
Citations

This map shows the geographic impact of Peter Staller'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 Peter Staller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Staller more than expected).

Fields of papers citing papers by Peter Staller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Staller. 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 Peter Staller. The network helps show where Peter Staller may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Staller, 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 Peter Staller Line = papers co-authored together Peter Staller links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Chemokine receptor CXCR4 downregulated by von Hippel–Lindau tumour suppressor pVHL
Hit paper breakdown →
2003744
2 2001481
3 2001414
4 2008295
5 1998215
6 2013106
7 2011106
8 1999100
9 201484
10 199766
11 200864
12 201821
13 20151

About Peter Staller

Peter Staller is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Physiology, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer-related gene regulation (4 papers), Ubiquitin and proteasome pathways (3 papers), Chemokine receptors and signaling (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cell Adhesion Molecules Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (642 citations), Oncology (895 citations), Molecular Biology (1.9k citations), Immunology (361 citations) and Aging (22 citations). Peter Staller has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Martin Eilers, Wilhelm Krek, Holger Moch, Edward J. Oakeley, Joanna Lisztwan, Joan Seoane, Joan Massagué, Caroline Bouchard, Célio Pouponnot and K.S. Jensen. Their work appears in journals such as Oncogene, Nature Cell Biology, Nature, Trends in Cell Biology and Epigenomics.

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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