Yongwei Su
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- MicroRNA in disease regulation
Papers in
-
- Histone Deacetylase Inhibitors Research 11
- Protein Degradation and Inhibitors 8
- Cell death mechanisms and regulation 7
- Cancer therapeutics and mechanisms 4
- RNA Interference and Gene Delivery 3
- Hematology 16
- Acute Myeloid Leukemia Research 15
- Co-authors
- Yubin Ge (21 shared papers)Holly Edwards (20 shared papers)Jeffrey W. Taub (20 shared papers)Hai Lin (12 shared papers)Danping Liu (2 shared papers)Hui Qi (2 shared papers)Jay Yang (7 shared papers)Guan Wang (10 shared papers)
- Journals
- Blood (4 papers)Biochemical Pharmacology (3 papers)Cancer Research (3 papers)Haematologica (2 papers)Signal Transduction and Targeted Therapy (2 papers)
- Partner nations
- ChinaUnited StatesSaint Kitts and Nevis
In The Last Decade
Yongwei Su
23 papers receiving 682 citations
Peers
Comparison fields: 5 of 65
- Hematology 302
- Cancer Research 129
- Molecular Biology 563
- Genetics 82
- Rheumatology 72
Countries citing papers authored by Yongwei Su
This map shows the geographic impact of Yongwei Su'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 Yongwei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongwei Su more than expected).
Fields of papers citing papers by Yongwei Su
This network shows the impact of papers produced by Yongwei Su. 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 Yongwei Su. The network helps show where Yongwei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yongwei Su, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2019 | 110 | |
| 3 | 2019 | 56 | |
| 4 | 2020 | 50 | |
| 5 | 2017 | 49 | |
| 6 | 2018 | 46 | |
| 7 | 2017 | 39 | |
| 8 | 2020 | 38 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2019 | 5 | |
| 17 | 2017 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2018 | 2 |
About Yongwei Su
Yongwei Su is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Genetics, having authored 27 papers that have together received 688 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Histone Deacetylase Inhibitors Research (11 papers), Protein Degradation and Inhibitors (8 papers), Cell death mechanisms and regulation (7 papers), Cancer therapeutics and mechanisms (4 papers), Cancer-related Molecular Pathways (3 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Hematology (302 citations), Cancer Research (129 citations), Molecular Biology (563 citations), Genetics (82 citations) and Rheumatology (72 citations). Yongwei Su has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Yubin Ge, Holly Edwards, Jeffrey W. Taub, Hai Lin, Danping Liu, Hui Qi, Jay Yang, Guan Wang, Jenna L. Carter and Maik Hüttemann. Their work appears in journals such as Blood, Biochemical Pharmacology, Cancer Research, Haematologica and Signal Transduction and Targeted Therapy.
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.