Tom Callens
Impact in
- Neurology top 2%
- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
- Rheumatology top 5%
- Soft tissue tumor case studies
Papers in
- Neurology 16
- Neurofibromatosis and Schwannoma Cases 15
- Co-authors
- Ludwine Messiaen (25 shared papers)Ina Vandenbroucke (4 shared papers)Geert Mortier (4 shared papers)Diane Beysen (2 shared papers)Nadine Van Roy (2 shared papers)Katharina Wimmer (7 shared papers)Anne De Paepe (2 shared papers)Frank Speleman (1 shared paper)
- Journals
- Human Mutation (6 papers)Human Genetics (3 papers)PLoS ONE (3 papers)Molecular Ecology (2 papers)European Journal of Human Genetics (1 paper)
- Partner nations
- BelgiumUnited StatesAustria
In The Last Decade
Tom Callens
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Neurology 734
- Rheumatology 236
- Ecological Modeling 41
- Pathology and Forensic Medicine 158
- Pulmonary and Respiratory Medicine 285
Countries citing papers authored by Tom Callens
This map shows the geographic impact of Tom Callens'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 Callens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Callens more than expected).
Fields of papers citing papers by Tom Callens
This network shows the impact of papers produced by Tom Callens. 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 Callens. The network helps show where Tom Callens may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Callens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 350 | |
| 2 | 2010 | 144 | |
| 3 | 2005 | 107 | |
| 4 | 2007 | 103 | |
| 5 | 2011 | 83 | |
| 6 | 2011 | 73 | |
| 7 | 2011 | 57 | |
| 8 | 2015 | 52 | |
| 9 | 1998 | 41 | |
| 10 | 1997 | 41 | |
| 11 | 2010 | 37 | |
| 12 | 2000 | 31 | |
| 13 | 2003 | 30 | |
| 14 | 2012 | 29 | |
| 15 | 2012 | 27 | |
| 16 | 2002 | 26 | |
| 17 | 1999 | 23 | |
| 18 | 2020 | 20 | |
| 19 | 2015 | 20 | |
| 20 | 2013 | 19 |
About Tom Callens
Tom Callens is a scholar working on Neurology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (15 papers), Soft tissue tumor case studies (7 papers), Sarcoma Diagnosis and Treatment (7 papers), Genetic diversity and population structure (6 papers), Avian ecology and behavior (5 papers), Genetic factors in colorectal cancer (4 papers), Soft tissue tumors and treatment (4 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Neurology (734 citations), Rheumatology (236 citations), Ecological Modeling (41 citations), Pathology and Forensic Medicine (158 citations) and Pulmonary and Respiratory Medicine (285 citations). Tom Callens has collaborated with scholars based in Belgium, United States and Austria. Frequent co-authors include Ludwine Messiaen, Ina Vandenbroucke, Geert Mortier, Diane Beysen, Nadine Van Roy, Katharina Wimmer, Anne De Paepe, Frank Speleman, Luc Lens and Erik Matthysen. Their work appears in journals such as Human Mutation, Human Genetics, PLoS ONE, Molecular Ecology and European Journal of Human Genetics.
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.