Zeming Wu
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
Papers in
-
- RNA modifications and cancer 10
- RNA regulation and disease 8
- RNA Research and Splicing 7
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 5
- Metabolomics and Mass Spectrometry Studies 5
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- Guang‐Hui Liu (34 shared papers)Jing Tao Qu (30 shared papers)Weiqi Zhang (28 shared papers)Moshi Song (17 shared papers)Si Wang (21 shared papers)Zunpeng Liu (15 shared papers)Jie Ren (10 shared papers)Juan Carlos Izpisúa Belmonte (15 shared papers)
- Journals
- Protein & Cell (11 papers)Nucleic Acids Research (4 papers)Cell Reports (4 papers)Nature Reviews Molecular Cell Biology (2 papers)Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Zeming Wu
58 papers receiving 2.9k citations
Zeming Wu's Hit Papers
Peers
Comparison fields: 5 of 131
- Aging 326
- Geriatrics and Gerontology 150
- Molecular Biology 1.7k
- Physiology 597
- Cancer Research 316
Countries citing papers authored by Zeming Wu
This map shows the geographic impact of Zeming Wu'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 Zeming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeming Wu more than expected).
Fields of papers citing papers by Zeming Wu
This network shows the impact of papers produced by Zeming Wu. 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 Zeming Wu. The network helps show where Zeming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeming Wu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Resurrection of endogenous retroviruses during aging reinforces senescence Hit paper breakdown → | 2023 | 274 |
| 2 | 2020 | 152 | |
| 3 | 2021 | 142 | |
| 4 | 2021 | 137 | |
| 5 | 2013 | 136 | |
| 6 | 2020 | 132 | |
| 7 | 2020 | 117 | |
| 8 | 2020 | 113 | |
| 9 | 2018 | 111 | |
| 10 | 2022 | 109 | |
| 11 | 2019 | 104 | |
| 12 | 2020 | 102 | |
| 13 | 2023 | 86 | |
| 14 | 2021 | 83 | |
| 15 | 2018 | 79 | |
| 16 | 2022 | 78 | |
| 17 | 2022 | 76 | |
| 18 | 2023 | 71 | |
| 19 | 2024 | 70 | |
| 20 | 2023 | 65 |
About Zeming Wu
Zeming Wu is a scholar working on Molecular Biology, Aging, Physiology, Cancer Research and Geriatrics and Gerontology, having authored 59 papers that have together received 3.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (13 papers), RNA modifications and cancer (10 papers), RNA regulation and disease (8 papers), RNA Research and Splicing (7 papers), Epigenetics and DNA Methylation (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Genomics and Chromatin Dynamics (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Aging (326 citations), Geriatrics and Gerontology (150 citations), Molecular Biology (1.7k citations), Physiology (597 citations) and Cancer Research (316 citations). Zeming Wu has collaborated with scholars based in China, United States and India. Frequent co-authors include Guang‐Hui Liu, Jing Tao Qu, Weiqi Zhang, Moshi Song, Si Wang, Zunpeng Liu, Jie Ren, Juan Carlos Izpisúa Belmonte, Qianzhao Ji and Zehua Wang. Their work appears in journals such as Protein & Cell, Nucleic Acids Research, Cell Reports, Nature Reviews Molecular Cell Biology and Cell Research.
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.