Hani Hassoun
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Internal Medicine top 2%
Papers in
- Hematology 113
- Multiple Myeloma Research and Treatments 103
- Chronic Myeloid Leukemia Treatments 15
- Genetics 30
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Co-authors
- Heather LandauJ PalekRaymond L. ComenzoElyn RiedelDarren R. FeldmanAlexander M. LesokhinSergio GiraltMadhav V. Dhodapkar
- Journals
- Blood (66 papers)Journal of Clinical Oncology (23 papers)Biology of Blood and Marrow Transplantation (10 papers)British Journal of Haematology (6 papers)Bone Marrow Transplantation (5 papers)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Hani Hassoun
149 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 96
- Hematology 1.6k
- Internal Medicine 242
- Genetics 574
- Oncology 1.2k
- Immunology 617
Countries citing papers authored by Hani Hassoun
This map shows the geographic impact of Hani Hassoun'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 Hani Hassoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Hassoun more than expected).
Fields of papers citing papers by Hani Hassoun
This network shows the impact of papers produced by Hani Hassoun. 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 Hani Hassoun. The network helps show where Hani Hassoun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hani Hassoun, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 34 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 0 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 39 | |
| 13 | 2016 | 38 | |
| 14 | 2014 | 65 | |
| 15 | 2011 | 24 | |
| 16 | 2005 | 9 | |
| 17 | 2005 | 15 | |
| 18 | 2001 | 7 | |
| 19 | 1994 | 33 | |
| 20 | 1985 | 2 |
About Hani Hassoun
Hani Hassoun is a scholar working on Hematology, Genetics, Internal Medicine, Oncology and Molecular Biology, having authored 160 papers that have together received 3.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (103 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (34 papers), Protein Degradation and Inhibitors (29 papers), Cancer Treatment and Pharmacology (21 papers), Peptidase Inhibition and Analysis (15 papers), Chronic Myeloid Leukemia Treatments (15 papers), Erythrocyte Function and Pathophysiology (14 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers). The work is most often cited by research in Hematology (1.6k citations), Internal Medicine (242 citations), Genetics (574 citations), Oncology (1.2k citations) and Immunology (617 citations). Hani Hassoun has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Heather Landau, J Palek, Raymond L. Comenzo, Elyn Riedel, Darren R. Feldman, Alexander M. Lesokhin, Sergio Giralt, Madhav V. Dhodapkar, Nancy Liu and D. Chang. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, British Journal of Haematology and Bone Marrow Transplantation.
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.