Robert Paridaens
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Estrogen and related hormone effects
- BRCA gene mutations in cancer
- Genetic Associations and Epidemiology
Papers in
-
- Breast Cancer Treatment Studies 5
- Protease and Inhibitor Mechanisms 2
- Oncology 6
- Cancer Treatment and Pharmacology 5
- Neutropenia and Cancer Infections 2
- Clusterin in disease pathology 1
- Co-authors
- Beat J. K. Thurlimann (2 shared papers)Gabriella Piscitelli (1 shared paper)Hoffmann-La Roche (1 shared paper)Enrico di Salle (1 shared paper)D. Serin (1 shared paper)Silvana Lanzalone (1 shared paper)Jacques M Bonneterre (1 shared paper)Robin M. Murray (1 shared paper)
- Journals
- European Journal of Cancer (2 papers)Breast Cancer Research and Treatment (2 papers)Nature Genetics (1 paper)Disease Markers (1 paper)Annals of Oncology (1 paper)
- Partner nations
- BelgiumSwitzerlandUnited Kingdom
In The Last Decade
Robert Paridaens
11 papers receiving 615 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 262
- Genetics 362
- Oncology 203
- Reproductive Medicine 26
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Robert Paridaens
This map shows the geographic impact of Robert Paridaens'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 Robert Paridaens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Paridaens more than expected).
Fields of papers citing papers by Robert Paridaens
This network shows the impact of papers produced by Robert Paridaens. 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 Robert Paridaens. The network helps show where Robert Paridaens may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Paridaens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 276 | |
| 2 | 1997 | 127 | |
| 3 | 2007 | 113 | |
| 4 | 2008 | 58 | |
| 5 | 2014 | 27 | |
| 6 | 2008 | 26 | |
| 7 | 2007 | 19 | |
| 8 | 1995 | 5 | |
| 9 | 1998 | 5 | |
| 10 | 1983 | 4 | |
| 11 | 1983 | 1 | |
| 12 | 2012 | 0 |
About Robert Paridaens
Robert Paridaens is a scholar working on Cancer Research, Oncology, Genetics, Pulmonary and Respiratory Medicine and Toxicology, having authored 12 papers that have together received 661 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Cancer Treatment and Pharmacology (5 papers), Estrogen and related hormone effects (4 papers), Neutropenia and Cancer Infections (2 papers), Protease and Inhibitor Mechanisms (2 papers), Biomarkers in Disease Mechanisms (1 paper), Advanced Breast Cancer Therapies (1 paper) and Clusterin in disease pathology (1 paper). The work is most often cited by research in Cancer Research (262 citations), Genetics (362 citations), Oncology (203 citations), Reproductive Medicine (26 citations) and Pulmonary and Respiratory Medicine (86 citations). Robert Paridaens has collaborated with scholars based in Belgium, Switzerland and United Kingdom. Frequent co-authors include Beat J. K. Thurlimann, Gabriella Piscitelli, Hoffmann-La Roche, Enrico di Salle, D. Serin, Silvana Lanzalone, Jacques M Bonneterre, Robin M. Murray, Wouter Hendrickx and Julie V. Decock. Their work appears in journals such as European Journal of Cancer, Breast Cancer Research and Treatment, Nature Genetics, Disease Markers and Annals of Oncology.
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.