Jin Wu
Impact in
- Pollution top 5%
- Microplastics and Plastic Pollution
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- Recycling and Waste Management Techniques
Papers in
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- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 1
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Qiangqiang Wang (1 shared paper)Baoan Ning (1 shared paper)Yanjun Fang (1 shared paper)Tieqiang Sun (1 shared paper)Shuang Li (1 shared paper)Longxing Fan (1 shared paper)Zhixian Gao (1 shared paper)Jialei Bai (1 shared paper)
- Journals
- Aging (2 papers)Skin Research and Technology (1 paper)International Journal of Colorectal Disease (1 paper)mBio (1 paper)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jin Wu
22 papers receiving 595 citations
Peers
Comparison fields: 5 of 85
- Pollution 199
- Industrial and Manufacturing Engineering 111
- Health, Toxicology and Mutagenesis 53
- Physiology 64
- Gastroenterology 13
Countries citing papers authored by Jin Wu
This map shows the geographic impact of Jin 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 Jin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wu more than expected).
Fields of papers citing papers by Jin Wu
This network shows the impact of papers produced by Jin 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 Jin Wu. The network helps show where Jin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 218 | |
| 2 | 2014 | 124 | |
| 3 | 2018 | 81 | |
| 4 | 2009 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2015 | 20 | |
| 7 | 2014 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2024 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 8 | |
| 14 | [The application of indirect immuno-fluorescence assay in the diagnosis of severe acute respiratory syndrome]. | 2003 | 6 |
| 15 | 2019 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2022 | 2 | |
| 20 | 2021 | 2 |
About Jin Wu
Jin Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Cancer Research, having authored 24 papers that have together received 603 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA modifications and cancer (2 papers), Recycling and Waste Management Techniques (1 paper), Head and Neck Cancer Studies (1 paper), Ubiquitin and proteasome pathways (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pollution (199 citations), Industrial and Manufacturing Engineering (111 citations), Health, Toxicology and Mutagenesis (53 citations), Physiology (64 citations) and Gastroenterology (13 citations). Jin Wu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qiangqiang Wang, Baoan Ning, Yanjun Fang, Tieqiang Sun, Shuang Li, Longxing Fan, Zhixian Gao, Jialei Bai, Yingchun Zhang and Jun Liang. Their work appears in journals such as Aging, Skin Research and Technology, International Journal of Colorectal Disease, mBio and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.
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.