Kaiwei Liang
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Protein Degradation and Inhibitors
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- Hematology top 10%
Papers in
-
- Acute Myeloid Leukemia Research 5
-
- Genomics and Chromatin Dynamics 13
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 8
- RNA Research and Splicing 8
- Cancer-related gene regulation 6
- Protein Degradation and Inhibitors 6
- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Ali ShilatifardEdwin R. SmithJian HuangC. Peter VerrijzerHans-Martin HerzAlexander S. GarrussMan MohanYoh-hei Takahashi
- Journals
- Science Advances (3 papers)Nature Communications (2 papers)Cell (2 papers)Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Kaiwei Liang
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.3k
- Hematology 105
- Cancer Research 139
- Oncology 178
- Genetics 148
Countries citing papers authored by Kaiwei Liang
This map shows the geographic impact of Kaiwei Liang'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 Kaiwei Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiwei Liang more than expected).
Fields of papers citing papers by Kaiwei Liang
This network shows the impact of papers produced by Kaiwei Liang. 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 Kaiwei Liang. The network helps show where Kaiwei Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiwei Liang, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 62 | |
| 13 | 2021 | 70 | |
| 14 | 2021 | 69 | |
| 15 | 2020 | 42 | |
| 16 | 2020 | 121 | |
| 17 | 2017 | 58 | |
| 18 | 2015 | 2 | |
| 19 | 2013 | 9 | |
| 20 | 2008 | 9 |
About Kaiwei Liang
Kaiwei Liang is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Genetics, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA modifications and cancer (10 papers), Epigenetics and DNA Methylation (8 papers), RNA Research and Splicing (8 papers), Cancer-related gene regulation (6 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Hematology (105 citations), Cancer Research (139 citations), Oncology (178 citations) and Genetics (148 citations). Kaiwei Liang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ali Shilatifard, Edwin R. Smith, Jian Huang, C. Peter Verrijzer, Hans-Martin Herz, Alexander S. Garruss, Man Mohan, Yoh-hei Takahashi, Xin Gao and Laurence Florens. Their work appears in journals such as Science Advances, Nature Communications, Cell, Journal of Biological Chemistry and Journal of Medicinal 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.