Simon Planken
Impact in
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- Cutaneous Melanoma Detection and Management
- Peptidase Inhibition and Analysis
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- Melanoma and MAPK Pathways
- Hedgehog Signaling Pathway Studies
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
- Epigenetics and DNA Methylation
Papers in
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- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Hedgehog Signaling Pathway Studies 1
- Protein Degradation and Inhibitors 1
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- Neuropeptides and Animal Physiology 2
- Co-authors
- Bart Neyns (1 shared paper)Inès Chevolet (1 shared paper)Teofila Seremet (1 shared paper)Vibeke Krüse (1 shared paper)Yanina Jansen (1 shared paper)Max Schreuer (1 shared paper)Michael R. Lazear (1 shared paper)Kevin Ryan (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)The Lancet Oncology (1 paper)Journal of Medicinal Chemistry (1 paper)Cell chemical biology (1 paper)Chemical Biology & Drug Design (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Simon Planken
5 papers receiving 276 citations
Peers
Comparison fields: 5 of 53
- Oncology 112
- Molecular Biology 191
- Organic Chemistry 72
- Cancer Research 23
- Genetics 14
Countries citing papers authored by Simon Planken
This map shows the geographic impact of Simon Planken'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 Simon Planken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Planken more than expected).
Fields of papers citing papers by Simon Planken
This network shows the impact of papers produced by Simon Planken. 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 Simon Planken. The network helps show where Simon Planken may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Planken, 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 | 2017 | 120 | |
| 2 | 2017 | 78 | |
| 3 | 2011 | 45 | |
| 4 | 2006 | 33 | |
| 5 | 2005 | 6 | |
| 6 | 2023 | 0 |
About Simon Planken
Simon Planken is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Genetics and Pathology and Forensic Medicine, having authored 6 papers that have together received 282 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), Neuropeptides and Animal Physiology (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Lung Cancer Treatments and Mutations (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Oncology (112 citations), Molecular Biology (191 citations), Organic Chemistry (72 citations), Cancer Research (23 citations) and Genetics (14 citations). Simon Planken has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Bart Neyns, Inès Chevolet, Teofila Seremet, Vibeke Krüse, Yanina Jansen, Max Schreuer, Michael R. Lazear, Kevin Ryan, Chau Almaden and Douglas C. Behenna. Their work appears in journals such as Molecular Cancer Therapeutics, The Lancet Oncology, Journal of Medicinal Chemistry, Cell chemical biology and Chemical Biology & Drug Design.
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.