Junke Wang
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Cancer Genomics and Diagnostics 3
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- Advanced biosensing and bioanalysis techniques 6
- Epigenetics and DNA Methylation 5
- DNA and Biological Computing 4
- Mitochondrial Function and Pathology 3
- Co-authors
- Guang-hui Wei (9 shared papers)Chunlan Long (8 shared papers)Yuexin Wei (9 shared papers)Yuhao Wu (10 shared papers)Shengde Wu (7 shared papers)Lianju Shen (6 shared papers)Tianxin Zhao (6 shared papers)Lindong Han (5 shared papers)
- Journals
- Environmental Pollution (4 papers)Blood Advances (3 papers)Journal of Hematology & Oncology (2 papers)Medicine (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junke Wang
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Health, Toxicology and Mutagenesis 293
- Cancer Research 272
- Pollution 213
- Biochemistry 105
- Molecular Biology 622
Countries citing papers authored by Junke Wang
This map shows the geographic impact of Junke 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 Junke Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junke Wang more than expected).
Fields of papers citing papers by Junke Wang
This network shows the impact of papers produced by Junke 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 Junke Wang. The network helps show where Junke Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junke 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 | 2021 | 180 | |
| 2 | 2021 | 163 | |
| 3 | 2008 | 122 | |
| 4 | 2020 | 117 | |
| 5 | 2018 | 88 | |
| 6 | 2023 | 84 | |
| 7 | 2021 | 76 | |
| 8 | 2019 | 67 | |
| 9 | 2020 | 67 | |
| 10 | 2024 | 60 | |
| 11 | 2018 | 53 | |
| 12 | 2021 | 51 | |
| 13 | 2022 | 49 | |
| 14 | 2007 | 42 | |
| 15 | 2021 | 38 | |
| 16 | 2023 | 38 | |
| 17 | 2021 | 35 | |
| 18 | 2023 | 35 | |
| 19 | 2012 | 34 | |
| 20 | 2021 | 34 |
About Junke Wang
Junke Wang is a scholar working on Cancer Research, Molecular Biology, Oncology, Health, Toxicology and Mutagenesis and Hematology, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (5 papers), Cardiac Ischemia and Reperfusion (4 papers), DNA and Biological Computing (4 papers), Cancer Genomics and Diagnostics (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (293 citations), Cancer Research (272 citations), Pollution (213 citations), Biochemistry (105 citations) and Molecular Biology (622 citations). Junke Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guang-hui Wei, Chunlan Long, Yuexin Wei, Yuhao Wu, Shengde Wu, Lianju Shen, Tianxin Zhao, Lindong Han, Lian Kang and Jiadong Chen. Their work appears in journals such as Environmental Pollution, Blood Advances, Journal of Hematology & Oncology, Medicine and European Journal of Pharmacology.
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.