Linjing Wang
Impact in
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- Antibiotic Resistance in Bacteria
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Co-authors
- Cen Xiong (1 shared paper)Liansheng Ling (1 shared paper)Chengke Wu (1 shared paper)Shuxu Zhang (7 shared papers)Youwei Yu (3 shared papers)Shao-ying Zhang (3 shared papers)Guoqian Zhang (1 shared paper)Wenfan Fu (1 shared paper)
- Journals
- Medicine (2 papers)Microbial Drug Resistance (2 papers)Expert Systems with Applications (2 papers)Physics in Medicine and Biology (2 papers)Journal of Integrative Neuroscience (1 paper)
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Linjing Wang
42 papers receiving 295 citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 20
- Cancer Research 46
- Neurology 18
- Endocrinology 11
- Radiation 17
Countries citing papers authored by Linjing Wang
This map shows the geographic impact of Linjing 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 Linjing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjing Wang more than expected).
Fields of papers citing papers by Linjing Wang
This network shows the impact of papers produced by Linjing 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 Linjing Wang. The network helps show where Linjing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjing 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2010 | 38 | |
| 3 | 2019 | 22 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 14 | |
| 6 | 2019 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Linjing Wang
Linjing Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Molecular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 299 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), AI in cancer detection (4 papers), Advanced Radiotherapy Techniques (4 papers), Nanoplatforms for cancer theranostics (3 papers), Hearing Loss and Rehabilitation (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Head and Neck Cancer Studies (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Molecular Medicine (20 citations), Cancer Research (46 citations), Neurology (18 citations), Endocrinology (11 citations) and Radiation (17 citations). Linjing Wang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Cen Xiong, Liansheng Ling, Chengke Wu, Shuxu Zhang, Youwei Yu, Shao-ying Zhang, Guoqian Zhang, Wenfan Fu, Fu-Liang Zhang and Luwen Zhu. Their work appears in journals such as Medicine, Microbial Drug Resistance, Expert Systems with Applications, Physics in Medicine and Biology and Journal of Integrative Neuroscience.
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.