Jan Hellemans
Impact in
- Molecular Biology top 0.2%
- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- Insect Resistance and Genetics
- Genomics and Phylogenetic Studies
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 13
- Connective tissue disorders research 5
- Dermatological and Skeletal Disorders 3
- Co-authors
- Jo VandesompeleMichael W. PfafflStephen A. BustinVladimı́r BenešReinhold MuellerTania NolanMikael KubistaJim F. Huggett
- Journals
- Human Mutation (4 papers)The American Journal of Human Genetics (3 papers)Nucleic Acids Research (3 papers)BMC Bioinformatics (3 papers)Methods (3 papers)
- Partner nations
- BelgiumNetherlandsUnited Kingdom
In The Last Decade
Jan Hellemans
47 papers receiving 19.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Molecular Biology 10.2k
- Cancer Research 2.1k
- Insect Science 1.1k
- Genetics 2.2k
- Immunology 1.6k
Countries citing papers authored by Jan Hellemans
This map shows the geographic impact of Jan Hellemans'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 Jan Hellemans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hellemans more than expected).
Fields of papers citing papers by Jan Hellemans
This network shows the impact of papers produced by Jan Hellemans. 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 Jan Hellemans. The network helps show where Jan Hellemans may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Hellemans, 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 | 2021 | 6 | |
| 2 | 2017 | 10 | |
| 3 | 2015 | 83 | |
| 4 | 2015 | 13 | |
| 5 | 2012 | 19 | |
| 6 | 2011 | 143 | |
| 7 | 2010 | 14 | |
| 8 | 2010 | 31 | |
| 9 | 2009 | 118 | |
| 10 | 2009 | 28 | |
| 11 | 2009 | 51 | |
| 12 | How to do successful gene expression analysis using real-time PCR Hit paper breakdown → | 2009 | 585 |
| 13 | 2009 | 2 | |
| 14 | 2009 | 24 | |
| 15 | 2009 | 43 | |
| 16 | 2007 | 44 | |
| 17 | 2007 | 96 | |
| 18 | 2006 | 53 | |
| 19 | 2003 | 103 | |
| 20 | 1977 | 14 |
About Jan Hellemans
Jan Hellemans is a scholar working on General Dentistry, Genetics, Molecular Biology, Cancer Research and Otorhinolaryngology, having authored 49 papers that have together received 19.4k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (20 papers), RNA Research and Splicing (9 papers), Genomics and Phylogenetic Studies (8 papers), Gene expression and cancer classification (6 papers), Connective tissue disorders research (5 papers), CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers) and Dermatological and Skeletal Disorders (3 papers). The work is most often cited by research in Molecular Biology (10.2k citations), Cancer Research (2.1k citations), Insect Science (1.1k citations), Genetics (2.2k citations) and Immunology (1.6k citations). Jan Hellemans has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Jo Vandesompele, Michael W. Pfaffl, Stephen A. Bustin, Vladimı́r Beneš, Reinhold Mueller, Tania Nolan, Mikael Kubista, Jim F. Huggett, Gregory L. Shipley and Jeremy A. Garson. Their work appears in journals such as Human Mutation, The American Journal of Human Genetics, Nucleic Acids Research, BMC Bioinformatics and Methods.
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.