Marc Zandecki
- Hematology top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 5%
- Physiology top 10%
- Co-authors
- Thierry FaçonF BautersFranck GenevièvePierre FenauxAlban GodonJ L LaïM FlactifClaude Preudhomme
- Topics
- Multiple Myeloma Research and Treatments (28 papers)Acute Myeloid Leukemia Research (27 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers)
- Cited by
- HematologyGeneticsOncology
In The Last Decade
Marc Zandecki
95 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 97
- Hematology 1.7k
- Molecular Biology 1.1k
- Genetics 588
- Oncology 541
- Physiology 228
Countries citing papers authored by Marc Zandecki
This map shows the geographic impact of Marc Zandecki'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 Marc Zandecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Zandecki more than expected).
Fields of papers citing papers by Marc Zandecki
This network shows the impact of papers produced by Marc Zandecki. 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 Marc Zandecki. The network helps show where Marc Zandecki may publish in the future.
Co-authorship network of co-authors of Marc Zandecki
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Zandecki. A scholar is included among the top collaborators of Marc Zandecki 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 Marc Zandecki. Marc Zandecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | Automated hematology analysers and spurious counts | 2 |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | [A rare disease but with a very high hemorrhagic risk: acquired hemophilia A]. | 2 |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 39 | |
| 12 | 40 | |
| 13 | Cytogenetics in multiple myeloma: A multicentre study of 24 patients with t(11;14) (q13;q32) or variant. | 1 |
| 14 | Délétion chromosomique 17p, mutation de P53, anomalie de Pelger-Huët et vacuolisation des granulocytes : une nouvelle entité dans les pathologies myéloïdes ? | 1 |
| 15 | 30 | |
| 16 | 38 | |
| 17 | 28 | |
| 18 | Congenital acute monoblastic leukemia with double translocation (8;16) (p11;p13) and (16;20) (q13;p13). | 10 |
| 19 | 4 | |
| 20 | 21 |
About Marc Zandecki
Marc Zandecki is a scholar working on Hematology, Genetics and Emergency Medicine, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (28 papers), Acute Myeloid Leukemia Research (27 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (588 citations) and Oncology (541 citations). Marc Zandecki has collaborated with scholars based in France, Japan and Cambodia. Frequent co-authors include Thierry Façon, F Bauters, Franck Geneviève, Pierre Fenaux, Alban Godon, J L Laï, M Flactif, Claude Preudhomme, Franck Bernardi and JL Laï. Their work appears in journals such as Blood, Clinical Cancer Research and Cell Death and Differentiation.
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.