F. de Vassal
- Oncology top 10%
- Immunology top 10%
- Molecular Biology
- Hematology top 5%
- Public Health, Environmental and Occupational Health
- Topics
- Lymphoma Diagnosis and Treatment (8 papers)Acute Lymphoblastic Leukemia research (7 papers)Chronic Lymphocytic Leukemia Research (6 papers)
- Cited by
- HematologyImmunologyOncology
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
F. de Vassal
31 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Oncology 328
- Immunology 282
- Molecular Biology 161
- Hematology 152
- Public Health, Environmental and Occupational Health 126
Countries citing papers authored by F. de Vassal
This map shows the geographic impact of F. de Vassal'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 F. de Vassal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. de Vassal more than expected).
Fields of papers citing papers by F. de Vassal
This network shows the impact of papers produced by F. de Vassal. 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 F. de Vassal. The network helps show where F. de Vassal may publish in the future.
Co-authorship network of co-authors of F. de Vassal
This figure shows the co-authorship network connecting the top 25 collaborators of F. de Vassal. A scholar is included among the top collaborators of F. de Vassal 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 F. de Vassal. F. de Vassal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | Phase II clinical trial with vindesine for remission induction in acute leukemia, blastic crisis of chronic myeloid leukemia, lymphosarcoma, and hodgkin's disease: absence of cross-resistance with vincristine. | 47 |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | Immunothérapie active des leucémies aiguës et des lymphosarcomes leucémiques. Bilar de 10 ans-Etude de 200 cas | 3 |
| 13 | 89 | |
| 14 | 21 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | [A new combination of methotrexate and folinic acid for cancer treatment (acute leukemia and solid tumors)]. | 10 |
| 18 | ACTIVE IMMUNOTHERAPY FOR ACUTE LYMPHOBLASTIC LEUKÆMIAbreakdown → | 452 |
| 19 | Greffe de moelle osseuse allogénique chez l'hormme provée par six marqueurs antigéniques après conditionnnement du receveur et du donneur par le sérum antilymphocytaire. | 3 |
| 20 | 43 |
About F. de Vassal
F. de Vassal is a scholar working on Genetics, Oncology and Pathology and Forensic Medicine, having authored 32 papers that have together received 826 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (7 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Hematology (152 citations), Immunology (282 citations) and Oncology (328 citations). F. de Vassal has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include L Schwarzenberg, M. Hayat, G Mathé, Jeanne Amiel, M. Schneider, Jean Schlumberger, A Cattan, C Jasmin, J. L. Misset and M Musset. Their work appears in journals such as The Lancet, Cancer and Cancer Immunology Immunotherapy.
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.