Tom Feys
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Molecular Biology Techniques and Applications
Papers in
-
- Molecular Biology Techniques and Applications 2
- Circular RNAs in diseases 1
- RNA Interference and Gene Delivery 1
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 2
- Co-authors
- Frank Speleman (6 shared papers)Jo Vandesompele (4 shared papers)Pieter Mestdagh (4 shared papers)Caifu Chen (2 shared papers)Simone M Guenther (2 shared papers)Nathalie Bernard‐Marissal (2 shared papers)Pascale De Paepe (4 shared papers)Bruno Verhasselt (4 shared papers)
- Journals
- British Journal of Haematology (1 paper)Blood (1 paper)Haematologica (1 paper)Nucleic Acids Research (1 paper)Pharmaceutics (1 paper)
- Partner nations
- Belgium
In The Last Decade
Tom Feys
7 papers receiving 356 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 193
- Molecular Biology 225
- Oncology 70
- Pathology and Forensic Medicine 38
- Immunology 34
Countries citing papers authored by Tom Feys
This map shows the geographic impact of Tom Feys'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 Tom Feys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Feys more than expected).
Fields of papers citing papers by Tom Feys
This network shows the impact of papers produced by Tom Feys. 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 Tom Feys. The network helps show where Tom Feys may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Feys, 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 | 2008 | 250 | |
| 2 | 2020 | 43 | |
| 3 | 2009 | 42 | |
| 4 | 2007 | 26 | |
| 5 | 2008 | 2 | |
| 6 | A detailed inventory of DNA copy number alterations in four commonly used Hodgkin lymphoma cell lines | 2007 | 1 |
| 7 | High-throughput stem-loop RT-PCR miRNA expression profiling using minute amounts of input RNA | 2008 | 1 |
| 8 | Labour standards and regional integration in Southern Africa : prospects for harmonisation | 1999 | 1 |
About Tom Feys
Tom Feys is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 366 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Molecular Biology Techniques and Applications (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (1 paper), RNA Interference and Gene Delivery (1 paper), Lung Cancer Treatments and Mutations (1 paper), Labor Movements and Unions (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (193 citations), Molecular Biology (225 citations), Oncology (70 citations), Pathology and Forensic Medicine (38 citations) and Immunology (34 citations). Tom Feys has collaborated with scholars based in Belgium. Frequent co-authors include Frank Speleman, Jo Vandesompele, Pieter Mestdagh, Caifu Chen, Simone M Guenther, Nathalie Bernard‐Marissal, Pascale De Paepe, Bruno Verhasselt, Bruce Poppe and Katleen De Preter. Their work appears in journals such as British Journal of Haematology, Blood, Haematologica, Nucleic Acids Research and Pharmaceutics.
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.