Kenny Helsens
- Molecular Biology top 5%
- Oncology top 5%
- Spectroscopy top 1%
- Cancer Research top 5%
- Cell Biology
- Co-authors
- Kris GevaertJoël VandekerckhoveLennart MartensPetra Van DammeNiklaas ColaertThomas ArnesenJo VandesompeleBjörn Menten
- Topics
- Advanced Proteomics Techniques and Applications (22 papers)Mass Spectrometry Techniques and Applications (13 papers)Machine Learning in Bioinformatics (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- BelgiumUnited KingdomNorway
In The Last Decade
Kenny Helsens
30 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.8k
- Oncology 701
- Spectroscopy 660
- Cancer Research 577
- Cell Biology 94
Countries citing papers authored by Kenny Helsens
This map shows the geographic impact of Kenny Helsens'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 Kenny Helsens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenny Helsens more than expected).
Fields of papers citing papers by Kenny Helsens
This network shows the impact of papers produced by Kenny Helsens. 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 Kenny Helsens. The network helps show where Kenny Helsens may publish in the future.
Co-authorship network of co-authors of Kenny Helsens
This figure shows the co-authorship network connecting the top 25 collaborators of Kenny Helsens. A scholar is included among the top collaborators of Kenny Helsens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenny Helsens. Kenny Helsens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | LNCipedia: A database for annotated human lncRNA transcript sequences and structures | 1 |
| 2 | 15 | |
| 3 | 417 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 151 | |
| 7 | 16 | |
| 8 | 68 | |
| 9 | 95 | |
| 10 | 51 | |
| 11 | 49 | |
| 12 | 34 | |
| 13 | 37 | |
| 14 | 61 | |
| 15 | 79 | |
| 16 | 48 | |
| 17 | 134 | |
| 18 | 19 | |
| 19 | 41 | |
| 20 | 25 |
About Kenny Helsens
Kenny Helsens is a scholar working on Spectroscopy, Molecular Biology and Biochemistry, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (13 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Spectroscopy (660 citations), Cancer Research (577 citations) and Molecular Biology (1.8k citations). Kenny Helsens has collaborated with scholars based in Belgium, United Kingdom and Norway. Frequent co-authors include Kris Gevaert, Joël Vandekerckhove, Lennart Martens, Petra Van Damme, Niklaas Colaert, Thomas Arnesen, Jo Vandesompele, Björn Menten, Pieter‐Jan Volders and Pieter Mestdagh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.