Tom Callens

2.8k total citations
35 papers, 1.4k citations indexed

About

Tom Callens is a scholar working on Neurology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tom Callens has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 11 papers in Molecular Biology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Tom Callens's work include Neurofibromatosis and Schwannoma Cases (15 papers), Soft tissue tumor case studies (7 papers) and Sarcoma Diagnosis and Treatment (7 papers). Tom Callens is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (15 papers), Soft tissue tumor case studies (7 papers) and Sarcoma Diagnosis and Treatment (7 papers). Tom Callens collaborates with scholars based in Belgium, United States and Austria. Tom Callens's co-authors include Ludwine Messiaen, Ina Vandenbroucke, Geert Mortier, Nadine Van Roy, Diane Beysen, Katharina Wimmer, Anne De Paepe, Frank Speleman, Luc Lens and Erik Matthysen and has published in prestigious journals such as Cell, PLoS ONE and Ecology.

In The Last Decade

Tom Callens

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Callens Belgium 20 734 505 285 236 228 35 1.4k
W. Krone Germany 24 536 0.7× 856 1.7× 201 0.7× 175 0.7× 467 2.0× 72 1.7k
Richard Y. Chung United States 14 389 0.5× 816 1.6× 222 0.8× 78 0.3× 417 1.8× 17 1.7k
Adrian M. Dubuc United States 26 181 0.2× 1.3k 2.6× 236 0.8× 36 0.2× 190 0.8× 60 2.1k
Whitney Wooderchak‐Donahue United States 16 201 0.3× 335 0.7× 387 1.4× 67 0.3× 211 0.9× 27 1.3k
Raphaël Helaers Belgium 15 182 0.2× 283 0.6× 106 0.4× 65 0.3× 191 0.8× 36 945
Jay W. Ellison United States 23 351 0.5× 1.2k 2.4× 249 0.9× 57 0.2× 1.2k 5.5× 52 2.6k
Katsuhiko Endo Japan 23 125 0.2× 526 1.0× 1.0k 3.7× 28 0.1× 230 1.0× 85 1.9k
L. Atkins United States 21 190 0.3× 681 1.3× 86 0.3× 55 0.2× 633 2.8× 37 1.5k
Pia Østergaard United Kingdom 23 45 0.1× 660 1.3× 230 0.8× 45 0.2× 241 1.1× 55 2.3k
Maureen A. Lyons‐Weiler United States 17 80 0.1× 760 1.5× 309 1.1× 17 0.1× 190 0.8× 20 1.4k

Countries citing papers authored by Tom Callens

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Callens

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Callens. A scholar is included among the top collaborators of Tom Callens 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 Tom Callens. Tom Callens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Piotrowski, Arkadiusz, Tom Callens, Chuanhua Fu, et al.. (2015). Decoding NF1 Intragenic Copy-Number Variations. The American Journal of Human Genetics. 97(2). 238–249. 20 indexed citations
3.
Coulon, Aurélie, Job Aben, Steve C. Palmer, et al.. (2015). A stochastic movement simulator improves estimates of landscape connectivity. Ecology. 96(8). 2203–2213. 52 indexed citations
4.
Xu, Jia, Venkat R. Katkoori, Chandrakumar Shanmugam, et al.. (2015). Clinical Implications of Rabphillin-3A-Like Gene Alterations in Breast Cancer. PLoS ONE. 10(6). e0129216–e0129216. 5 indexed citations
5.
Katkoori, Venkat R., Chandrakumar Shanmugam, Jia Xu, et al.. (2012). Prognostic Significance and Gene Expression Profiles of p53 Mutations in Microsatellite-Stable Stage III Colorectal Adenocarcinomas. PLoS ONE. 7(1). e30020–e30020. 27 indexed citations
6.
Vangestel, Carl, Joachim Mergeay, Deborah A. Dawson, et al.. (2012). Genetic diversity and population structure in contemporary house sparrow populations along an urbanization gradient. Heredity. 109(3). 163–172. 29 indexed citations
7.
Jouhilahti, Eeva‐Mari, Sirkku Peltonen, Tom Callens, et al.. (2011). The Development of Cutaneous Neurofibromas. American Journal Of Pathology. 178(2). 500–505. 57 indexed citations
8.
Wimmer, Katharina, et al.. (2011). The NF1 Gene Contains Hotspots for L1 Endonuclease-Dependent De Novo Insertion. PLoS Genetics. 7(11). e1002371–e1002371. 73 indexed citations
9.
Hölzel, Michael, Sidong Huang, Jan Köster, et al.. (2010). NF1 Is a Tumor Suppressor in Neuroblastoma that Determines Retinoic Acid Response and Disease Outcome. Cell. 142(2). 218–229. 144 indexed citations
10.
Xu, Jia, Chandrakumar Shanmugam, Venkat R. Katkoori, et al.. (2007). Loss of heterozygosity at 17p13.3 and 17p13.1 loci is associated with poor survival of African Americans with colorectal adenocarcinomas. Cancer Epidemiology and Prevention Biomarkers. 16. 1 indexed citations
11.
Katkoori, Venkat R., Jia Xu, Tom Callens, et al.. (2007). Rabphillin-3A-Like gene is a candidate tumor suppressor in colorectal adenocarcinoma. Cancer Research. 67. 3650–3650. 1 indexed citations
12.
Wimmer, Katharina, Xavier Roca, Tom Callens, et al.. (2007). Extensive in silico analysis of NF1 splicing defects uncovers determinants for splicing outcome upon 5′ splice-site disruption. Human Mutation. 28(6). 599–612. 103 indexed citations
13.
Messiaen, Ludwine, Tom Callens, Dusica Babovic‐Vuksanovic, et al.. (2007). Genotype-phenotype correlations in spinal NF. 4 indexed citations
14.
Wimmer, Katharina, Kathleen Claes, Hildegard Kehrer‐Sawatzki, et al.. (2005). Spectrum of single‐ and multiexon NF1 copy number changes in a cohort of 1,100 unselected NF1 patients. Genes Chromosomes and Cancer. 45(3). 265–276. 107 indexed citations
15.
Vandenbroucke, Ina, Remco van Doorn, Tom Callens, et al.. (2003). Genetic and clinical mosaicism in a patient with neurofibromatosis type 1. Human Genetics. 114(3). 284–290. 30 indexed citations
16.
Wimmer, Katharina, Tom Callens, Helga Rehder, et al.. (2002). A patient severely affected by spinal neurofibromas carries a recurrent splice site mutation in the NF1 gene. European Journal of Human Genetics. 10(5). 334–338. 16 indexed citations
17.
Vandenbroucke, Ina, Tom Callens, Anne De Paepe, & Ludwine Messiaen. (2002). Complex splicing pattern generates great diversity in human NF1 transcripts. BMC Genomics. 3(1). 13–13. 26 indexed citations
18.
Lambert, Jo, Jean Naeyaert, Tom Callens, Anne De Paepe, & Ludwine Messiaen. (1998). Human Myosin V Gene Produces Different Transcripts in a Cell Type-Specific Manner. Biochemical and Biophysical Research Communications. 252(2). 329–333. 41 indexed citations
19.
Messiaen, Ludwine, Tom Callens, Anne De Paepe, Margarita Craen, & Geert Mortier. (1997). Characterisation of two different nonsense mutations, C6792A and C6792G, causing skipping of exon 37 in the NF1 gene. Human Genetics. 101(1). 75–80. 41 indexed citations
20.
Messiaen, Ludwine, et al.. (1997). Identification of Two Different Mutations Causing Protein S Deficiency in Two Unrelated Belgian Families Using a Nonisotopic Scanning and Sequencing Method. Pathophysiology of Haemostasis and Thrombosis. 27(5). 228–236. 2 indexed citations

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.

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