Jo Van Dorpe
- Physiology top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Oncology top 5%
- Pharmacology top 1%
- Co-authors
- Roger M. NitschJürgen GötzKurt SpittaelsChris Van den HauteFred Van LeuvenRaf SciotKoen BruynseelsIna Tesseur
- Topics
- Sarcoma Diagnosis and Treatment (30 papers)Cancer Genomics and Diagnostics (15 papers)Soft tissue tumor case studies (15 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Jo Van Dorpe
168 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Physiology 2.4k
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 899
- Oncology 660
- Pharmacology 628
Countries citing papers authored by Jo Van Dorpe
This map shows the geographic impact of Jo Van Dorpe'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 Jo Van Dorpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Van Dorpe more than expected).
Fields of papers citing papers by Jo Van Dorpe
This network shows the impact of papers produced by Jo Van Dorpe. 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 Jo Van Dorpe. The network helps show where Jo Van Dorpe may publish in the future.
Co-authorship network of co-authors of Jo Van Dorpe
This figure shows the co-authorship network connecting the top 25 collaborators of Jo Van Dorpe. A scholar is included among the top collaborators of Jo Van Dorpe 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 Jo Van Dorpe. Jo Van Dorpe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | Atm deficient zebrafish model reveals conservation of the tumour suppressor function | 2 |
| 11 | 1 | |
| 12 | PD-L1 testing for non-small cell lung cancer : Belgian guidelines | 1 |
| 13 | 17 | |
| 14 | Preclinical activity of two paclitaxel nanoparticle formulations after IP administration in ovarian cancer xenografts | 1 |
| 15 | Blastic plasmacytoid dendritic cell neoplasm with skin, bone marrow involvement and transverse myelitis : a case report | 1 |
| 16 | 81 | |
| 17 | 52 | |
| 18 | Pathological diagnosis and molecular testing in non-small cell lung cancer: Belgian guidelines | 4 |
| 19 | 0 | |
| 20 | Formation of Neurofibrillary Tangles in P301L Tau Transgenic Mice Induced by Aβ42 Fibrilsbreakdown → | 1208 |
About Jo Van Dorpe
Jo Van Dorpe is a scholar working on Rheumatology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 181 papers that have together received 5.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (30 papers), Cancer Genomics and Diagnostics (15 papers) and Soft tissue tumor case studies (15 papers). The work is most often cited by research in Physiology (2.4k citations), Neurology (564 citations) and Cellular and Molecular Neuroscience (899 citations). Jo Van Dorpe has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Roger M. Nitsch, Jürgen Götz, Kurt Spittaels, Chris Van den Haute, Fred Van Leuven, Raf Sciot, Koen Bruynseels, Ina Tesseur, Ruth J. F. Loos and Marc Mercken. Their work appears in journals such as Science, 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.