Basem M. William
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 46
- Oncology 37
- CAR-T cell therapy research 25
- Co-authors
- Gino Roberto Corazza (2 shared papers)Jamés O. Armitage (7 shared papers)Sutthichai Sae-Tia (1 shared paper)Paolo F. Caimi (14 shared papers)Shuming Yang (2 shared papers)Yan Xu (2 shared papers)Pierluigi Porcu (13 shared papers)Marcos de Lima (15 shared papers)
- Journals
- Blood (27 papers)Biology of Blood and Marrow Transplantation (13 papers)Journal of Clinical Oncology (6 papers)British Journal of Haematology (3 papers)Blood Advances (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Basem M. William
90 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Hematology 316
- Pathology and Forensic Medicine 395
- Dermatology 189
- Genetics 184
- Oncology 457
Countries citing papers authored by Basem M. William
This map shows the geographic impact of Basem M. William'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 Basem M. William with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basem M. William more than expected).
Fields of papers citing papers by Basem M. William
This network shows the impact of papers produced by Basem M. William. 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 Basem M. William. The network helps show where Basem M. William may publish in the future.
Co-authors
The 25 scholars most cited alongside Basem M. William, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 131 | |
| 2 | 2018 | 115 | |
| 3 | 2019 | 109 | |
| 4 | 2007 | 82 | |
| 5 | 2018 | 77 | |
| 6 | 2013 | 49 | |
| 7 | 2018 | 42 | |
| 8 | 2020 | 41 | |
| 9 | 2017 | 38 | |
| 10 | 2016 | 36 | |
| 11 | 2019 | 33 | |
| 12 | 2019 | 26 | |
| 13 | 2008 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2017 | 25 | |
| 16 | 2014 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2013 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2018 | 19 |
About Basem M. William
Basem M. William is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Genetics and Immunology, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (46 papers), CAR-T cell therapy research (25 papers), Chronic Lymphocytic Leukemia Research (22 papers), Cutaneous lymphoproliferative disorders research (19 papers), Hematopoietic Stem Cell Transplantation (17 papers), Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (8 papers) and Biosimilars and Bioanalytical Methods (6 papers). The work is most often cited by research in Hematology (316 citations), Pathology and Forensic Medicine (395 citations), Dermatology (189 citations), Genetics (184 citations) and Oncology (457 citations). Basem M. William has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Gino Roberto Corazza, Jamés O. Armitage, Sutthichai Sae-Tia, Paolo F. Caimi, Shuming Yang, Yan Xu, Pierluigi Porcu, Marcos de Lima, Philip J. Bierman and Barry Skikne. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Journal of Clinical Oncology, British Journal of Haematology and Blood Advances.
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.