Jay Yang
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Hematology 33
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 11
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Co-authors
- Grant W. Brown (7 shared papers)Yongwei Su (5 shared papers)Yubin Ge (5 shared papers)Jeffrey Warren Taub (5 shared papers)Holly J. Edwards (5 shared papers)Katie Hege-Hurrish (2 shared papers)Jenna L. Carter (3 shared papers)Maik Hüttemann (3 shared papers)
- Journals
- Blood (13 papers)Journal of Pain (3 papers)Blood Advances (3 papers)Hematological Oncology (3 papers)The Lancet Oncology (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jay Yang
77 papers receiving 2.1k citations
Jay Yang's Hit Papers
Peers
Comparison fields: 5 of 91
- Hematology 505
- Oncology 481
- Genetics 186
- Pathology and Forensic Medicine 291
- Molecular Biology 1.1k
Countries citing papers authored by Jay Yang
This map shows the geographic impact of Jay Yang'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 Jay Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Yang more than expected).
Fields of papers citing papers by Jay Yang
This network shows the impact of papers produced by Jay Yang. 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 Jay Yang. The network helps show where Jay Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tazemetostat for patients with relapsed or refractory follicular lymphoma: an open-label, single-arm, multicentre, phase 2 trial Hit paper breakdown → | 2020 | 460 |
| 2 | 2020 | 163 | |
| 3 | 2021 | 146 | |
| 4 | 2013 | 123 | |
| 5 | 2022 | 104 | |
| 6 | 2002 | 101 | |
| 7 | 2022 | 101 | |
| 8 | 2023 | 99 | |
| 9 | 2005 | 77 | |
| 10 | 2010 | 62 | |
| 11 | 2019 | 56 | |
| 12 | 2020 | 38 | |
| 13 | 2014 | 38 | |
| 14 | 2020 | 38 | |
| 15 | 2012 | 37 | |
| 16 | 2018 | 35 | |
| 17 | 2022 | 28 | |
| 18 | 2012 | 27 | |
| 19 | 2020 | 23 | |
| 20 | 2016 | 23 |
About Jay Yang
Jay Yang is a scholar working on Hematology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Chronic Myeloid Leukemia Treatments (11 papers), Protein Degradation and Inhibitors (8 papers), Acute Lymphoblastic Leukemia research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Histone Deacetylase Inhibitors Research (7 papers), Lymphoma Diagnosis and Treatment (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Hematology (505 citations), Oncology (481 citations), Genetics (186 citations), Pathology and Forensic Medicine (291 citations) and Molecular Biology (1.1k citations). Jay Yang has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Grant W. Brown, Yongwei Su, Yubin Ge, Jeffrey Warren Taub, Holly J. Edwards, Katie Hege-Hurrish, Jenna L. Carter, Maik Hüttemann, Hasini A. Kalpage and Tania Michelle Roberts. Their work appears in journals such as Blood, Journal of Pain, Blood Advances, Hematological Oncology and The Lancet Oncology.
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.