Marc Haspeslagh

1.2k citations
48 papers · 929 indexed · h-index 17
    • MRI in cancer diagnosis 10
    • Advanced MRI Techniques and Applications 6
    • Radiomics and Machine Learning in Medical Imaging 5
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis 7
    • Cancer and Skin Lesions 3
  • Genetics top 10%
    • Genetics and Neurodevelopmental Disorders 7
    • Genomic variations and chromosomal abnormalities 4
    • Genetic and rare skin diseases. 3

Marc Haspeslagh

47 papers receiving 901 citations

Peers

Marc Haspeslagh
Comparison fields: 5 of 95
  • Biological Psychiatry 76
  • Radiology, Nuclear Medicine and Imaging 324
  • Hepatology 96
  • Dermatology 97
  • Genetics 203
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Countries citing papers authored by Marc Haspeslagh

Since Specialization
Citations

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

Fields of papers citing papers by Marc Haspeslagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marc Haspeslagh, 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 Marc Haspeslagh Line = papers co-authored together Marc Haspeslagh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202110
2 20183
3 201711
4 201611
5 201612
6 201391
7 201226
8 201131
9 200915
10 20081
11 200819
12 2007121
13 200726
14 200433
15
Het Vlaams-Nederlands Netwerk Klinische Paden
20022
16
Ontwikkelen en testen van een instrument voor het meten van teameffectiviteit
20021
17 19919
18 198737
19
De novo partial 2q3 trisomy/distal 7p22 monosomy in a malformed newborn with 7p deletion phenotype and craniosynostosis.
198511
20 198429

About Marc Haspeslagh

Marc Haspeslagh is a scholar working on Research and Theory, Biological Psychiatry and Developmental Biology, having authored 48 papers that have together received 929 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Genetics and Neurodevelopmental Disorders (7 papers), Advanced MRI Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Genetic and rare skin diseases. (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Radiology, Nuclear Medicine and Imaging (324 citations) and Hepatology (96 citations). Marc Haspeslagh has collaborated with scholars based in Belgium, Italy and Netherlands. Frequent co-authors include Kenneth Coenegrachts, J. P. Fryns, Herman Van den Berghe, Liève Brochez, Alain Bols, H. Rigauts, Jaap Stoker, Shandra Bipat, David Volders and Léon ter Beek. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and Frontiers in Immunology.

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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