Yanjun Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Protein Kinase Regulation and GTPase Signaling
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- CRISPR and Genetic Engineering 3
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Autophagy in Disease and Therapy 2
- Co-authors
- Lixing Zhan (10 shared papers)Cheng Dai (5 shared papers)Lele Song (8 shared papers)Meiyan Qi (3 shared papers)Renxu Chang (5 shared papers)Yi Xu (4 shared papers)Ding Wen Wu (1 shared paper)Huiping Jiang (1 shared paper)
- Journals
- Nature Communications (4 papers)Gene (4 papers)Scientific Reports (3 papers)Cell Death and Disease (3 papers)CHEST Journal (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yanjun Wu
40 papers receiving 776 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 163
- Molecular Biology 438
- Oncology 116
- Cell Biology 57
- Genetics 90
Countries citing papers authored by Yanjun Wu
This map shows the geographic impact of Yanjun 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 Yanjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Wu more than expected).
Fields of papers citing papers by Yanjun Wu
This network shows the impact of papers produced by Yanjun 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 Yanjun Wu. The network helps show where Yanjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 135 | |
| 2 | 2018 | 90 | |
| 3 | 1996 | 69 | |
| 4 | 2015 | 50 | |
| 5 | 2019 | 42 | |
| 6 | 2021 | 41 | |
| 7 | 2023 | 40 | |
| 8 | 2019 | 34 | |
| 9 | 2016 | 33 | |
| 10 | 2018 | 30 | |
| 11 | 2018 | 27 | |
| 12 | 2018 | 23 | |
| 13 | 2016 | 21 | |
| 14 | 2018 | 16 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2023 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 9 |
About Yanjun Wu
Yanjun Wu is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Genetics and Surgery, having authored 42 papers that have together received 785 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), CRISPR and Genetic Engineering (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Nuclear Receptors and Signaling (2 papers), Genetic and phenotypic traits in livestock (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (163 citations), Molecular Biology (438 citations), Oncology (116 citations), Cell Biology (57 citations) and Genetics (90 citations). Yanjun Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lixing Zhan, Cheng Dai, Lele Song, Meiyan Qi, Renxu Chang, Yi Xu, Ding Wen Wu, Huiping Jiang, Yanan Kuang and Weiwei Ji. Their work appears in journals such as Nature Communications, Gene, Scientific Reports, Cell Death and Disease and CHEST Journal.
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.