Ziwei Dai
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Aging top 5%
Papers in
-
- Cancer, Hypoxia, and Metabolism 12
-
- Amino Acid Enzymes and Metabolism 4
- Co-authors
- Jason W. LocasaleXia GaoMichael A. ReidSydney M. SandersonZhengtao XiaoVijyendra RameshLuhua LaiShuaishi Gao
- Journals
- Nature Communications (5 papers)Clinical Rheumatology (3 papers)Cell Metabolism (2 papers)Journal of Biological Chemistry (2 papers)Nature Reviews Genetics (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Ziwei Dai
41 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 830
- Aging 61
- Molecular Biology 2.0k
- Biochemistry 199
- Biotechnology 170
Countries citing papers authored by Ziwei Dai
This map shows the geographic impact of Ziwei Dai'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 Ziwei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziwei Dai more than expected).
Fields of papers citing papers by Ziwei Dai
This network shows the impact of papers produced by Ziwei Dai. 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 Ziwei Dai. The network helps show where Ziwei Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ziwei Dai, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 35 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 12 | |
| 8 | The evolving metabolic landscape of chromatin biology and epigenetics Hit paper breakdown → | 2020 | 304 |
| 9 | 2020 | 3 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 3 | |
| 14 | Methionine metabolism in health and cancer: a nexus of diet and precision medicine Hit paper breakdown → | 2019 | 370 |
| 15 | Metabolic landscape of the tumor microenvironment at single cell resolution Hit paper breakdown → | 2019 | 343 |
| 16 | 2019 | 25 | |
| 17 | 2018 | 159 | |
| 18 | 2018 | 19 | |
| 19 | 2014 | 3 | |
| 20 | 2014 | 10 |
About Ziwei Dai
Ziwei Dai is a scholar working on Cancer Research, Biochemistry, Rheumatology, Developmental Neuroscience and Molecular Biology, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), RNA modifications and cancer (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Systemic Lupus Erythematosus Research (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Mitochondrial Function and Pathology (4 papers) and ATP Synthase and ATPases Research (4 papers). The work is most often cited by research in Cancer Research (830 citations), Aging (61 citations), Molecular Biology (2.0k citations), Biochemistry (199 citations) and Biotechnology (170 citations). Ziwei Dai has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jason W. Locasale, Xia Gao, Michael A. Reid, Sydney M. Sanderson, Zhengtao Xiao, Vijyendra Ramesh, Luhua Lai, Shuaishi Gao, Sailendra N. Nichenametla and Samantha J. Mentch. Their work appears in journals such as Nature Communications, Clinical Rheumatology, Cell Metabolism, Journal of Biological Chemistry and Nature Reviews Genetics.
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.