Zeming Wu
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- RNA modifications and cancer 6
- RNA regulation and disease 6
- Metabolomics and Mass Spectrometry Studies 5
- RNA Research and Splicing 5
- Physiology 11
- Telomeres, Telomerase, and Senescence 10
- Co-authors
- Guang‐Hui Liu (25 shared papers)Jing Qu (21 shared papers)Weiqi Zhang (20 shared papers)Moshi Song (13 shared papers)Si Wang (14 shared papers)Zunpeng Liu (11 shared papers)Jie Ren (7 shared papers)Juan Carlos Izpisúa Belmonte (11 shared papers)
- Journals
- Protein & Cell (5 papers)Nucleic Acids Research (3 papers)Cell Reports (2 papers)Developmental Cell (1 paper)Light Science & Applications (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Zeming Wu
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 113
- Aging 148
- Geriatrics and Gerontology 118
- Molecular Biology 898
- Physiology 312
- Cancer Research 179
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2021 | 130 | |
| 3 | 2020 | 115 | |
| 4 | 2021 | 113 | |
| 5 | 2020 | 110 | |
| 6 | 2018 | 93 | |
| 7 | 2019 | 93 | |
| 8 | 2020 | 80 | |
| 9 | 2023 | 69 | |
| 10 | 2018 | 64 | |
| 11 | 2022 | 63 | |
| 12 | 2020 | 52 | |
| 13 | 2016 | 49 | |
| 14 | 2024 | 45 | |
| 15 | 2019 | 40 | |
| 16 | 2023 | 39 | |
| 17 | 2013 | 36 | |
| 18 | 2024 | 34 | |
| 19 | 2024 | 26 | |
| 20 | 2022 | 24 |
About Zeming Wu
Zeming Wu is a scholar working on Molecular Biology, Physiology, Aging, Geriatrics and Gerontology and Pharmacology, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), RNA modifications and cancer (6 papers), RNA regulation and disease (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), RNA Research and Splicing (5 papers), Traditional Chinese Medicine Analysis (4 papers) and Sirtuins and Resveratrol in Medicine (4 papers). The work is most often cited by research in Aging (148 citations), Geriatrics and Gerontology (118 citations), Molecular Biology (898 citations), Physiology (312 citations) and Cancer Research (179 citations). Zeming Wu has collaborated with scholars based in China, United States and India. Frequent co-authors include Guang‐Hui Liu, Jing Qu, Weiqi Zhang, Moshi Song, Si Wang, Zunpeng Liu, Jie Ren, Juan Carlos Izpisúa Belmonte, Zehua Wang and Qianzhao Ji. Their work appears in journals such as Protein & Cell, Nucleic Acids Research, Cell Reports, Developmental Cell and Light Science & Applications.
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.