Tom Sante

905 citations
16 papers · 473 · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
  • Genetics top 10%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases

Papers in

    • Genomic variations and chromosomal abnormalities 9
    • Genomics and Rare Diseases 3
    • Genomics and Phylogenetic Studies 2
    • CRISPR and Genetic Engineering 2
    • Mitochondrial Function and Pathology 2

Tom Sante

16 papers receiving 456 citations

Peers

Tom Sante
Comparison fields: 5 of 63
  • Cancer Research 121
  • Genetics 209
  • Pediatrics, Perinatology and Child Health 91
  • Ophthalmology 34
  • Molecular Biology 246
Replace Becky Alhadeff with:
Becky Alhadeff United States
Simona Cavalieri Italy
Janneke Schuurs-Hoeijmakers Netherlands
Teresa Neuhann Germany
Olga Jarinova Canada
Shlomit Rienstein Israel
Ruth Charlton United Kingdom
Heleen H. Arts Netherlands
Nadine Jalkh Lebanon
Siren Berland Norway
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Citations per field
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Citations per year

Countries citing papers authored by Tom Sante

Since Specialization
Citations

This map shows the geographic impact of Tom Sante'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 Sante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Sante more than expected).

Fields of papers citing papers by Tom Sante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Sante. 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 Sante. The network helps show where Tom Sante may publish in the future.

Co-authors

The 25 scholars most cited alongside Tom Sante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Sante Line = papers co-authored together Tom Sante links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201781
2 201356
3 201447
4 201443
5 201541
6 201538
7 201435
8 201628
9 201027
10 201325
11 201222
12 201612
13 20197
14 20185
15 20223
16
Matepair sequencing for the detection of chromosomal aberrations in patients with intellectual disability and congenital malformations
20123

About Tom Sante

Tom Sante is a scholar working on Genetics, Molecular Biology, Plant Science, Pediatrics, Perinatology and Child Health and Neurology, having authored 16 papers that have together received 473 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (9 papers), Chromosomal and Genetic Variations (4 papers), Prenatal Screening and Diagnostics (3 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Phylogenetic Studies (2 papers), CRISPR and Genetic Engineering (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (121 citations), Genetics (209 citations), Pediatrics, Perinatology and Child Health (91 citations), Ophthalmology (34 citations) and Molecular Biology (246 citations). Tom Sante has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Björn Menten, Annelies Dheedene, Sarah Vergult, Elfride De Baere, Katleen De Preter, Hannah Verdin, Bram De Wilde, Petra De Sutter, Jo Van Dorpe and Malaïka Van Der Linden. Their work appears in journals such as Genetics in Medicine, Scientific Reports, Human Mutation, Clinical Cancer Research and Archives of Pathology & Laboratory Medicine.

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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