J J Cassiman

1.7k citations
27 papers · 997 indexed · h-index 15

J J Cassiman

26 papers receiving 973 citations

Peers

J J Cassiman
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 241
  • Immunology and Allergy 80
  • Cell Biology 211
  • Genetics 234
  • Molecular Biology 479
Replace J.J. Cassiman with:
J.J. Cassiman Belgium
Jennifer M. Martin United States
Suzanna G.M. Frints Netherlands
Paul R. Stabach United States
Petra Zwijnenburg Netherlands
Ying Shen United States
David George United States
Catherine Moreau France
Joseph C. Giacalone United States
Daniel J. Olson United States
J J Cassiman relative to J.J. Cassiman Belgium J.J. Cassiman's profile →
Citations per field
00.5×4.8×
J.J. Cassiman · 1×
Citations per year

Countries citing papers authored by J J Cassiman

Since Specialization
Citations

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

Fields of papers citing papers by J J Cassiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20060
2 2004141
3 199713
4 19962
5 199694
6 19958
7 199511
8
Predictive testing for Huntington's disease: risk perception, reasons for testing and psychological profile of test applicants.
199563
9 199452
10 19943
11 199328
12 1992145
13 19911
14 199039
15 198959
16 198810
17 19881
18 198854
19 198817
20 19881

About J J Cassiman

J J Cassiman is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 27 papers that have together received 997 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Genetic Neurodegenerative Diseases (6 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Neonatal Respiratory Health Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Cystic Fibrosis Research Advances (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (241 citations), Immunology and Allergy (80 citations) and Cell Biology (211 citations). J J Cassiman has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Herman Van den Berghe, Peter Marynen, Gerry Evers‐Kiebooms, Bart Van der Schueren, Raymond A. Frizzell, Dieter C. Gruenert, Marc Willems, Gregory David, F. Van Leuven and J. P. Fryns. Their work appears in journals such as Journal of Medical Genetics, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, The Journal of Cell Biology and Theoretical Population Biology.

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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