Andrew P. Weng
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 15
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 9
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 16
- Cancer-related gene regulation 12
- Single-cell and spatial transcriptomics 8
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 28
- Cancer Research top 1%
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- Acute Lymphoblastic Leukemia research 20
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- T-cell and Retrovirus Studies 8
- Co-authors
- Jon C. AsterStephen C. BlacklowAdolfo A. FerrandoA. Thomas LookCheryll Sanchez-IrizarryLewis B. SilvermanJohn P. MorrisWoojoong Lee
- Cited by
- HematologyGeneticsMolecular Biology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Andrew P. Weng
95 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Hematology 1.4k
- Genetics 924
- Molecular Biology 5.7k
- Pathology and Forensic Medicine 1.5k
- Cancer Research 1.2k
Countries citing papers authored by Andrew P. Weng
This map shows the geographic impact of Andrew P. Weng'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 Andrew P. Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew P. Weng more than expected).
Fields of papers citing papers by Andrew P. Weng
This network shows the impact of papers produced by Andrew P. Weng. 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 Andrew P. Weng. The network helps show where Andrew P. Weng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew P. Weng, 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 0 | |
| 6 | 2020 | 18 | |
| 7 | 2018 | 4 | |
| 8 | 2018 | 17 | |
| 9 | 2017 | 17 | |
| 10 | 2017 | 21 | |
| 11 | 2014 | 83 | |
| 12 | 2012 | 17 | |
| 13 | NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growthbreakdown → | 2006 | 639 |
| 14 | 2004 | 235 | |
| 15 | Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemiabreakdown → | 2004 | 2013 |
| 16 | 2004 | 163 | |
| 17 | 2003 | 83 | |
| 18 | 2003 | 6 | |
| 19 | 2002 | 211 | |
| 20 | 1995 | 15 |
About Andrew P. Weng
Andrew P. Weng is a scholar working on Hematology, Pathology and Forensic Medicine and Immunology, having authored 100 papers that have together received 9.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (28 papers), Acute Lymphoblastic Leukemia research (20 papers), Epigenetics and DNA Methylation (16 papers), Acute Myeloid Leukemia Research (15 papers), Cancer-related gene regulation (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), T-cell and Retrovirus Studies (8 papers) and Single-cell and spatial transcriptomics (8 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (924 citations) and Molecular Biology (5.7k citations). Andrew P. Weng has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jon C. Aster, Stephen C. Blacklow, Adolfo A. Ferrando, A. Thomas Look, Cheryll Sanchez-Irizarry, Lewis B. Silverman, John P. Morris, Woojoong Lee, Warren S. Pear and Donna Neuberg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.