David J. Young
- Hematology top 5%
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 5
- Chronic Myeloid Leukemia Treatments 4
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- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 8
- Epigenetics and DNA Methylation 4
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- Chronic Lymphocytic Leukemia Research 4
- Hemoglobinopathies and Related Disorders 4
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- Chronic Lymphocytic Leukemia Research 4
- Hemoglobinopathies and Related Disorders 4
- Co-authors
- Nicholas R. GuydoshAlan G. HinnebuschRachel GreenFan ZhangMichelle M. Le BeauIsabelle LucasYanwen JiangAnthony A. Fernald
- Cited by
- HematologyMolecular BiologyGenetics
- Journals
- Cell (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesNew ZealandIreland
In The Last Decade
David J. Young
32 papers receiving 828 citations
Peers
Comparison fields: 5 of 61
- Hematology 226
- Molecular Biology 556
- Genetics 72
- Genetics 118
- Speech and Hearing 22
Countries citing papers authored by David J. Young
This map shows the geographic impact of David J. Young'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 David J. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Young more than expected).
Fields of papers citing papers by David J. Young
This network shows the impact of papers produced by David J. Young. 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 David J. Young. The network helps show where David J. Young may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Young, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 27 | |
| 13 | 2020 | 32 | |
| 14 | 2019 | 34 | |
| 15 | 2018 | 56 | |
| 16 | 2011 | 12 | |
| 17 | 2010 | 9 | |
| 18 | 2010 | 30 | |
| 19 | 2009 | 33 | |
| 20 | 2009 | 63 |
About David J. Young
David J. Young is a scholar working on Hematology, Genetics and Molecular Biology, having authored 35 papers that have together received 835 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (8 papers), Hematopoietic Stem Cell Transplantation (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Hematology (226 citations), Molecular Biology (556 citations) and Genetics (72 citations). David J. Young has collaborated with scholars based in United States, New Zealand and Ireland. Frequent co-authors include Nicholas R. Guydosh, Alan G. Hinnebusch, Rachel Green, Fan Zhang, Michelle M. Le Beau, Isabelle Lucas, Yanwen Jiang, Anthony A. Fernald, Theodore Karrison and Cynthia E. Dunbar. Their work appears in journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.
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.