Yaochun Wang
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Wnt/β-catenin signaling in development and cancer 6
- Epigenetics and DNA Methylation 5
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- Cancer, Lipids, and Metabolism 5
- Co-authors
- Shin‐Pon Ju (15 shared papers)Hua Han (13 shared papers)Yingmin Liang (8 shared papers)Fei He (7 shared papers)Xingbin Hu (7 shared papers)Fan Feng (5 shared papers)Liang Liang (4 shared papers)Hong‐Yan Qin (3 shared papers)
- Journals
- Journal of Nanoscience and Nanotechnology (3 papers)RSC Advances (3 papers)Scientific Reports (2 papers)Ecological Indicators (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yaochun Wang
69 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 132
- Immunology 414
- Cancer Research 255
- Oncology 295
- Molecular Biology 699
- Genetics 80
Countries citing papers authored by Yaochun Wang
This map shows the geographic impact of Yaochun Wang'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 Yaochun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaochun Wang more than expected).
Fields of papers citing papers by Yaochun Wang
This network shows the impact of papers produced by Yaochun Wang. 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 Yaochun Wang. The network helps show where Yaochun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaochun Wang, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 380 | |
| 2 | 2015 | 95 | |
| 3 | 1974 | 60 | |
| 4 | 2017 | 56 | |
| 5 | 2019 | 53 | |
| 6 | 2011 | 52 | |
| 7 | 2015 | 52 | |
| 8 | 2017 | 51 | |
| 9 | 2011 | 48 | |
| 10 | 2009 | 44 | |
| 11 | 2013 | 42 | |
| 12 | 2022 | 42 | |
| 13 | 2017 | 41 | |
| 14 | 2011 | 37 | |
| 15 | 2017 | 36 | |
| 16 | 2021 | 36 | |
| 17 | 2022 | 35 | |
| 18 | 2016 | 33 | |
| 19 | 2009 | 33 | |
| 20 | 2009 | 32 |
About Yaochun Wang
Yaochun Wang is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Immunology and Ecology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (8 papers), Freshwater macroinvertebrate diversity and ecology (8 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Nanopore and Nanochannel Transport Studies (6 papers), Aquatic Invertebrate Ecology and Behavior (6 papers), Cancer, Lipids, and Metabolism (5 papers), Block Copolymer Self-Assembly (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Immunology (414 citations), Cancer Research (255 citations), Oncology (295 citations), Molecular Biology (699 citations) and Genetics (80 citations). Yaochun Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Shin‐Pon Ju, Hua Han, Yingmin Liang, Fei He, Xingbin Hu, Fan Feng, Liang Liang, Hong‐Yan Qin, Min Zheng and Guang‐Ying Dong. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, RSC Advances, Scientific Reports, Ecological Indicators and Frontiers in Immunology.
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.