Fabrice Kwiatkowski
- Surgery top 0.2%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Emergency Medicine top 0.2%
- Epidemiology top 2%
- Co-authors
- K. SlimYves PanísJ ChipponiEmile NiniDamien ForestierYves‐Jean BignonP. CholletOlivier Gléhen
- Topics
- Breast Cancer Treatment Studies (30 papers)Cancer Treatment and Pharmacology (22 papers)BRCA gene mutations in cancer (15 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Fabrice Kwiatkowski
159 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Surgery 5.8k
- Oncology 2.5k
- Pulmonary and Respiratory Medicine 1.8k
- Emergency Medicine 1.2k
- Epidemiology 1.2k
Countries citing papers authored by Fabrice Kwiatkowski
This map shows the geographic impact of Fabrice Kwiatkowski'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 Fabrice Kwiatkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Kwiatkowski more than expected).
Fields of papers citing papers by Fabrice Kwiatkowski
This network shows the impact of papers produced by Fabrice Kwiatkowski. 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 Fabrice Kwiatkowski. The network helps show where Fabrice Kwiatkowski may publish in the future.
Co-authorship network of co-authors of Fabrice Kwiatkowski
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Kwiatkowski. A scholar is included among the top collaborators of Fabrice Kwiatkowski 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 Fabrice Kwiatkowski. Fabrice Kwiatkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 29 | |
| 5 | 25 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 44 | |
| 12 | 92 | |
| 13 | DNA repair gene ERCC2, XPC, XRCC1, XRCC3 polymorphisms and associations with bladder cancer risk in a French cohort. | 46 |
| 14 | 68 | |
| 15 | Traitement de l'hyperthyroïdie du sujet âgé par l'iode 131. A propos de 180 patients. Problèmes de radioprotection et de gestion des déchets liés au traitement par l'iode 131 | 1 |
| 16 | 11 | |
| 17 | 2 | |
| 18 | Chrono-pharmacocinétique du 5-fluoro-uracile dans le traitement des cancers colorectaux métastatiques et indicateurs de réponse métabolique | 1 |
| 19 | 148 | |
| 20 | 179 |
About Fabrice Kwiatkowski
Fabrice Kwiatkowski is a scholar working on Oncology, Cancer Research and Genetics, having authored 168 papers that have together received 11.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (30 papers), Cancer Treatment and Pharmacology (22 papers) and BRCA gene mutations in cancer (15 papers). The work is most often cited by research in Surgery (5.8k citations), Emergency Medicine (1.2k citations) and Reproductive Medicine (775 citations). Fabrice Kwiatkowski has collaborated with scholars based in France, United States and Italy. Frequent co-authors include K. Slim, Yves Panís, J Chipponi, Emile Nini, Damien Forestier, Yves‐Jean Bignon, P. Chollet, Olivier Gléhen, Frédérique Penault‐Llorca and Pierre Verrelle. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.