Simon Planken
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
-
- Computational Drug Discovery Methods
Papers in
-
- Lung Cancer Treatments and Mutations 4
-
- Computational Drug Discovery Methods 2
- Co-authors
- Vibeke Krüse (1 shared paper)Max S. Schreuer (1 shared paper)Inès Chevolet (1 shared paper)Bart Neyns (1 shared paper)Teofila Seremet (1 shared paper)Yanina Jeanne Leona Jansen (1 shared paper)Shuyan Lu (1 shared paper)Matthew M. Hayward (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Molecular Cancer Therapeutics (2 papers)Cell chemical biology (1 paper)The Lancet Oncology (1 paper)Chemical Biology & Drug Design (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Simon Planken
10 papers receiving 896 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 309
- Computational Theory and Mathematics 176
- Organic Chemistry 178
- Molecular Biology 264
- Cancer Research 43
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 | 2020 | 402 | |
| 2 | 2017 | 147 | |
| 3 | 2016 | 85 | |
| 4 | 2017 | 85 | |
| 5 | 2017 | 81 | |
| 6 | 2011 | 47 | |
| 7 | 2020 | 38 | |
| 8 | 2006 | 33 | |
| 9 | 2005 | 6 | |
| 10 | 2023 | 2 |
About Simon Planken
Simon Planken is a scholar working on Pulmonary and Respiratory Medicine, Computational Theory and Mathematics, Molecular Biology, Organic Chemistry and Psychiatry and Mental health, having authored 10 papers that have together received 926 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Synthesis and biological activity (2 papers), Computational Drug Discovery Methods (2 papers), Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper), Hedgehog Signaling Pathway Studies (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Sexual function and dysfunction studies (1 paper). The work is most often cited by research in Infectious Diseases (309 citations), Computational Theory and Mathematics (176 citations), Organic Chemistry (178 citations), Molecular Biology (264 citations) and Cancer Research (43 citations). Simon Planken has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Vibeke Krüse, Max S. Schreuer, Inès Chevolet, Bart Neyns, Teofila Seremet, Yanina Jeanne Leona Jansen, Shuyan Lu, Matthew M. Hayward, Oleg Brodsky and Zachary E. Potter. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, Cell chemical biology, The Lancet Oncology 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.