William Lento

1.3k citations
16 papers · 884 · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Cell death mechanisms and regulation 2
    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 2
    • Cancer therapeutics and mechanisms 2
    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 2

William Lento

16 papers receiving 872 citations

Peers

William Lento
Comparison fields: 5 of 74
  • Hematology 265
  • Genetics 123
  • Cancer Research 114
  • Molecular Biology 519
  • Developmental Neuroscience 28
Replace Virág Vas with:
Virág Vas Hungary
Teruyuki Muraguchi Japan
Valentina Pettirossi Italy
Sasidhar Vemula United States
Stephanie Smith‐Berdan United States
Elisa Bianchi Italy
Sandra Olthof Netherlands
Elisa Tomellini Canada
Margaret Choy United States
Gudmundur L. Norddahl Sweden
William Lento relative to Virág Vas Hungary Virág Vas's profile →
Citations per field
00.5×2.8×
Virág Vas · 1×
Citations per year

Countries citing papers authored by William Lento

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with William Lento Line = papers co-authored together William Lento links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010272
2 2010222
3 2013108
4 2012100
5 201462
6 201324
7 202119
8 201719
9 202316
10 201812
11 201111
12 201411
13 20235
14 20161
15 20051
16 20101

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 884 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), Cell death mechanisms and regulation (2 papers), RNA Research and Splicing (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (265 citations), Genetics (123 citations), Cancer Research (114 citations), Molecular Biology (519 citations) and Developmental Neuroscience (28 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, Jamie L. Russell, Heather A. Himburg and Garrett G. Muramoto. Their work appears in journals such as Blood, Journal of Medicinal Chemistry, Molecular Biology of the Cell, Stem Cells and Development and Development.

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.

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