William Wierda
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 9
- Chronic Lymphocytic Leukemia Research 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
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- Chronic Myeloid Leukemia Treatments 7
- Acute Myeloid Leukemia Research 3
- Hematopoietic Stem Cell Transplantation 1
- Co-authors
- Jörge E. Cortes (7 shared papers)Hagop Kantarjian (7 shared papers)Stefan H Faderl (5 shared papers)Guillermo Garcia‐Manero (6 shared papers)Francis Joseph Giles (5 shared papers)Susan Mary O'Brien (4 shared papers)Deborah Ann Thomas (4 shared papers)Moshe Talpaz (3 shared papers)
- Journals
- Blood (3 papers)Cancer (3 papers)Blood Advances (1 paper)American Journal of Hematology (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
William Wierda
13 papers receiving 755 citations
Peers
Comparison fields: 5 of 53
- Hematology 512
- Genetics 354
- Rheumatology 168
- Pathology and Forensic Medicine 129
- Public Health, Environmental and Occupational Health 181
Countries citing papers authored by William Wierda
This map shows the geographic impact of William Wierda'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 William Wierda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Wierda more than expected).
Fields of papers citing papers by William Wierda
This network shows the impact of papers produced by William Wierda. 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 William Wierda. The network helps show where William Wierda may publish in the future.
Co-authors
The 25 scholars most cited alongside William Wierda, 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 | 2003 | 185 | |
| 2 | 2008 | 161 | |
| 3 | 2003 | 109 | |
| 4 | 2003 | 76 | |
| 5 | 2013 | 66 | |
| 6 | 2005 | 55 | |
| 7 | 2015 | 52 | |
| 8 | 2013 | 47 | |
| 9 | 2023 | 20 | |
| 10 | 2008 | 10 | |
| 11 | 2004 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2007 | 1 |
About William Wierda
William Wierda is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Gastroenterology and Oncology, having authored 13 papers that have together received 785 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Hematopoietic Stem Cell Transplantation (1 paper), CAR-T cell therapy research (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Hematology (512 citations), Genetics (354 citations), Rheumatology (168 citations), Pathology and Forensic Medicine (129 citations) and Public Health, Environmental and Occupational Health (181 citations). William Wierda has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Jörge E. Cortes, Hagop Kantarjian, Stefan H Faderl, Guillermo Garcia‐Manero, Francis Joseph Giles, Susan Mary O'Brien, Deborah Ann Thomas, Moshe Talpaz, Mary Beth Rios and Michael J. Keating. Their work appears in journals such as Blood, Cancer, Blood Advances, American Journal of Hematology and British Journal of Haematology.
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.