Man Wu
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
- Geriatrics and Gerontology top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 4
- Metabolomics and Mass Spectrometry Studies 3
- Extracellular vesicles in disease 3
- Oncology 8
- Co-authors
- Yiqing He (6 shared papers)Cuixia Yang (6 shared papers)Yan Du (5 shared papers)Feng Gao (5 shared papers)Yi‐Wen Liu (3 shared papers)Hong‐Xi Xu (7 shared papers)Yuanzhi Lao (7 shared papers)Manlin Cao (2 shared papers)
- Journals
- Acta Pharmacologica Sinica (4 papers)Frontiers in Pharmacology (3 papers)Placenta (2 papers)Frontiers in Oncology (2 papers)Analytical Methods (2 papers)
- Partner nations
- ChinaNew ZealandHong Kong
In The Last Decade
Man Wu
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Cell Biology 171
- Geriatrics and Gerontology 29
- Cancer Research 114
- Nephrology 53
- Molecular Biology 519
Countries citing papers authored by Man Wu
This map shows the geographic impact of Man 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 Man Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Wu more than expected).
Fields of papers citing papers by Man Wu
This network shows the impact of papers produced by Man 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 Man Wu. The network helps show where Man Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Man 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 140 | |
| 2 | 2021 | 82 | |
| 3 | 2014 | 73 | |
| 4 | 2019 | 56 | |
| 5 | 2019 | 53 | |
| 6 | 2013 | 46 | |
| 7 | 2020 | 41 | |
| 8 | 2015 | 35 | |
| 9 | 2019 | 34 | |
| 10 | 2014 | 33 | |
| 11 | 2021 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 29 | |
| 14 | 2015 | 29 | |
| 15 | 2019 | 28 | |
| 16 | 2010 | 28 | |
| 17 | 2021 | 24 | |
| 18 | 2014 | 23 | |
| 19 | 2021 | 21 | |
| 20 | 2018 | 21 |
About Man Wu
Man Wu is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Surgery, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Glycosylation and Glycoproteins Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Systemic Lupus Erythematosus Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Cell Biology (171 citations), Geriatrics and Gerontology (29 citations), Cancer Research (114 citations), Nephrology (53 citations) and Molecular Biology (519 citations). Man Wu has collaborated with scholars based in China, New Zealand and Hong Kong. Frequent co-authors include Yiqing He, Cuixia Yang, Yan Du, Feng Gao, Yi‐Wen Liu, Hong‐Xi Xu, Yuanzhi Lao, Manlin Cao, Wenjuan Wang and Min Zhao. Their work appears in journals such as Acta Pharmacologica Sinica, Frontiers in Pharmacology, Placenta, Frontiers in Oncology and Analytical Methods.
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.