Marc Delord
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
- Hematology 16
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 5
- Genetics 10
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- David GroheuxElif HindiéMarc EspiéSylvie GiacchettiLaëtitia VercellinoAnne‐Sophie HamyAndré BaruchelMarie‐Elisabeth Toubert
- Journals
- Blood (6 papers)Journal of Nuclear Medicine (3 papers)Haematologica (2 papers)Oncotarget (2 papers)Orthopaedics & Traumatology Surgery & Research (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Marc Delord
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 92
- Hematology 460
- Cancer Research 395
- Genetics 212
- Radiology, Nuclear Medicine and Imaging 403
- Oncology 325
Countries citing papers authored by Marc Delord
This map shows the geographic impact of Marc Delord'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 Delord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Delord more than expected).
Fields of papers citing papers by Marc Delord
This network shows the impact of papers produced by Marc Delord. 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 Delord. The network helps show where Marc Delord may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Delord, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 7 | |
| 13 | 2018 | 17 | |
| 14 | 2018 | 0 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 10 | |
| 17 | 2013 | 29 | |
| 18 | 2012 | 25 | |
| 19 | 2012 | 91 | |
| 20 | 2010 | 98 |
About Marc Delord
Marc Delord is a scholar working on Hematology, Genetics, Developmental Biology, Cancer Research and Applied Microbiology and Biotechnology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Medical Imaging Techniques and Applications (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (5 papers), Breast Cancer Treatment Studies (5 papers), Acute Lymphoblastic Leukemia research (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (460 citations), Cancer Research (395 citations), Genetics (212 citations), Radiology, Nuclear Medicine and Imaging (403 citations) and Oncology (325 citations). Marc Delord has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include David Groheux, Elif Hindié, Marc Espié, Sylvie Giacchetti, Laëtitia Vercellino, Anne‐Sophie Hamy, André Baruchel, Marie‐Elisabeth Toubert, Jean Soulier and Pascal Merlet. Their work appears in journals such as Blood, Journal of Nuclear Medicine, Haematologica, Oncotarget and Orthopaedics & Traumatology Surgery & Research.
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.