Simon Planken
Impact in
-
- Cutaneous Melanoma Detection and Management
- Peptidase Inhibition and Analysis
-
- Melanoma and MAPK Pathways
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
Papers in
-
- Protein Degradation and Inhibitors 1
- Melanoma and MAPK Pathways 1
- Hedgehog Signaling Pathway Studies 1
- Cancer therapeutics and mechanisms 1
- Protein Kinase Regulation and GTPase Signaling 1
- Oncology 3
- Peptidase Inhibition and Analysis 2
- Co-authors
- Bart Neyns (1 shared paper)Inès Chevolet (1 shared paper)Max Schreuer (1 shared paper)Teofila Seremet (1 shared paper)Yanina Jansen (1 shared paper)Vibeke Krüse (1 shared paper)Shuyan Lu (1 shared paper)Kevin Ryan (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Journal of Medicinal Chemistry (1 paper)The Lancet Oncology (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 268 citations
Peers
Comparison fields: 5 of 58
- Oncology 131
- Molecular Biology 196
- Organic Chemistry 75
- Cancer Research 26
- Genetics 18
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 | 114 | |
| 2 | 2017 | 77 | |
| 3 | 2011 | 44 | |
| 4 | 2006 | 34 | |
| 5 | 2005 | 6 | |
| 6 | 2023 | 0 |
About Simon Planken
Simon Planken is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Organic Chemistry and Genetics, having authored 6 papers that have together received 275 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (2 papers), Peptidase Inhibition and Analysis (2 papers), Protein Degradation and Inhibitors (1 paper), Melanoma and MAPK Pathways (1 paper), Lung Cancer Treatments and Mutations (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Cancer therapeutics and mechanisms (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Oncology (131 citations), Molecular Biology (196 citations), Organic Chemistry (75 citations), Cancer Research (26 citations) and Genetics (18 citations). Simon Planken has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Bart Neyns, Inès Chevolet, Max Schreuer, Teofila Seremet, Yanina Jansen, Vibeke Krüse, Shuyan Lu, Kevin Ryan, Rose Ann Ferre and Matthew M. Hayward. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, The Lancet Oncology, 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.