Junli Wang
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Aquaculture disease management and microbiota
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Immunology 17
- Immune Cell Function and Interaction 7
- Co-authors
- Fenglian Yang (12 shared papers)Ye‐Sheng Wei (5 shared papers)Tingbo Liang (5 shared papers)Yan Lan (5 shared papers)Xueli Bai (2 shared papers)Zhaoquan Huang (1 shared paper)Guoxing Nie (4 shared papers)Chunfang Wang (12 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Cellular and Molecular Medicine (3 papers)Frontiers in Immunology (2 papers)Academic Radiology (2 papers)EBioMedicine (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junli Wang
86 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 132
- Immunology 262
- Genetics 95
- Aquatic Science 52
- Reproductive Medicine 58
- Cancer Research 99
Countries citing papers authored by Junli Wang
This map shows the geographic impact of Junli 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 Junli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Wang more than expected).
Fields of papers citing papers by Junli Wang
This network shows the impact of papers produced by Junli 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 Junli Wang. The network helps show where Junli Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2021 | 52 | |
| 3 | 2011 | 46 | |
| 4 | 2014 | 43 | |
| 5 | 2014 | 42 | |
| 6 | 2021 | 42 | |
| 7 | 2016 | 41 | |
| 8 | 2021 | 39 | |
| 9 | 2011 | 37 | |
| 10 | 2021 | 34 | |
| 11 | 2015 | 30 | |
| 12 | 2022 | 28 | |
| 13 | 2020 | 26 | |
| 14 | 2023 | 23 | |
| 15 | 2020 | 22 | |
| 16 | 2021 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2023 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2017 | 19 |
About Junli Wang
Junli Wang is a scholar working on Molecular Biology, Immunology, Surgery, Epidemiology and Oncology, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sperm and Testicular Function (9 papers), Immune Cell Function and Interaction (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), RNA modifications and cancer (5 papers), AI in cancer detection (5 papers), Reproductive Biology and Fertility (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Immunology (262 citations), Genetics (95 citations), Aquatic Science (52 citations), Reproductive Medicine (58 citations) and Cancer Research (99 citations). Junli Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fenglian Yang, Ye‐Sheng Wei, Tingbo Liang, Yan Lan, Xueli Bai, Zhaoquan Huang, Guoxing Nie, Chunfang Wang, Dipesh Kumar Yadav and Qi Zhang. Their work appears in journals such as Scientific Reports, Journal of Cellular and Molecular Medicine, Frontiers in Immunology, Academic Radiology and EBioMedicine.
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.