Paul Van Hummelen

16.6k citations
125 papers · 6.2k indexed · 1 hit paper · h-index 44

Paul Van Hummelen

121 papers receiving 6.0k citations

Hit Papers

Genomic sequencing of meningiomas identifies oncogenic SM...4192013202620172021100200300400

Peers

Paul Van Hummelen
Comparison fields: 5 of 156
  • Cancer Research 1.5k
  • Reproductive Medicine 339
  • Molecular Biology 2.7k
  • Genetics 363
  • Plant Science 1.2k
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Simon W. Hayward United States
Veli‐Matti Kosma Finland
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Citations per field
00.5×3.5×
Simon W. Hayward · 1×
Citations per year

Countries citing papers authored by Paul Van Hummelen

Since Specialization
Citations

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

Fields of papers citing papers by Paul Van Hummelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Van Hummelen. 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 Paul Van Hummelen. The network helps show where Paul Van Hummelen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20203
3 201622
4 201617
5 201414
6 201377
7 201322
8 201237
9 201237
10 2011384
11
Differential Gene Expression Profile in Biomodulated Livers after Transplantation with Cardiac Death Donors
20101
12 200824
13
Differential gene expression between metastatic colorectal tumours in liver and peritoneum.
20082
14 200652
15 200585
16
Micro-array CGH analysis of 4p microdeletions refines the genotype-phenotype map of the region and pinpoints low copy repeats as susceptibility sites for terminal chromosomal deletions
20040
17 200420
18 200337
19 200329
20 200218

About Paul Van Hummelen

Paul Van Hummelen is a scholar working on Cancer Research, Transplantation and Molecular Biology, having authored 125 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Carcinogens and Genotoxicity Assessment (18 papers), Gene expression and cancer classification (18 papers), Molecular Biology Techniques and Applications (14 papers), DNA Repair Mechanisms (10 papers), Genomics and Chromatin Dynamics (8 papers), Prenatal Screening and Diagnostics (6 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Cancer Research (1.5k citations), Reproductive Medicine (339 citations) and Molecular Biology (2.7k citations). Paul Van Hummelen has collaborated with scholars based in Belgium, United States and South Korea. Frequent co-authors include Micheline Kirsch‐Volders, Laura E. MacConaill, Azeddine Elhajouji, William C. Hahn, Marnik Vuylsteke, Matthew D. Ducar, Enrico Cundari, Andrew J. Wyrobek, Xiu Lowe and László Hackler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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