William Lento
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Cancer therapeutics and mechanisms 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Hematology 10
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 3
- Co-authors
- Tannishtha Reya (6 shared papers)Kendra L. Congdon (3 shared papers)Nelson J. Chao (6 shared papers)Carlijn Voermans (3 shared papers)Marcie Kritzik (1 shared paper)Takahiro Ito (3 shared papers)Phuong L. Doan (2 shared papers)Jen‐Tsan Chi (1 shared paper)
- Journals
- Blood (2 papers)Differentiation (1 paper)Nature Medicine (1 paper)ACS Medicinal Chemistry Letters (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
William Lento
16 papers receiving 866 citations
Peers
Comparison fields: 5 of 78
- Hematology 281
- Genetics 134
- Cancer Research 126
- Molecular Biology 553
- Developmental Neuroscience 29
Countries citing papers authored by William Lento
This map shows the geographic impact of William Lento'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 Lento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lento more than expected).
Fields of papers citing papers by William Lento
This network shows the impact of papers produced by William Lento. 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 Lento. The network helps show where William Lento may publish in the future.
Co-authors
The 25 scholars most cited alongside William Lento, 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 | 2010 | 272 | |
| 2 | 2010 | 221 | |
| 3 | 2013 | 108 | |
| 4 | 2012 | 97 | |
| 5 | 2014 | 62 | |
| 6 | 2013 | 24 | |
| 7 | 2017 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2023 | 16 | |
| 10 | 2018 | 12 | |
| 11 | 2011 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2023 | 5 | |
| 14 | 2016 | 1 | |
| 15 | 2005 | 1 | |
| 16 | 2010 | 1 |
About William Lento
William Lento is a scholar working on Molecular Biology, Hematology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 16 papers that have together received 880 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Acute Myeloid Leukemia Research (3 papers), Cancer therapeutics and mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Hematology (281 citations), Genetics (134 citations), Cancer Research (126 citations), Molecular Biology (553 citations) and Developmental Neuroscience (29 citations). William Lento has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tannishtha Reya, Kendra L. Congdon, Nelson J. Chao, Carlijn Voermans, Marcie Kritzik, Takahiro Ito, Phuong L. Doan, Jen‐Tsan Chi, Pamela Daher and Garrett G. Muramoto. Their work appears in journals such as Blood, Differentiation, Nature Medicine, ACS Medicinal Chemistry Letters and Journal of Leukocyte Biology.
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.