Qinglin Shen
- Health Informatics top 5%
- Oncology top 5%
- Cancer Cells and Metastasis 7
- Biomedical Engineering top 2%
- 3D Printing in Biomedical Research 7
- Microfluidic and Bio-sensing Technologies 4
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 2
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- COVID-19 diagnosis using AI 3
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- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 2
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- Electrospun Nanofibers in Biomedical Applications 3
- Co-authors
- Hsian‐Rong TsengBing FanZicong LiLibo ZhaoBingliang ZengXiaofen LiChuanhong WangHonglu Li
- Journals
- Advanced Materials (7 papers)International Journal of Nanomedicine (2 papers)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qinglin Shen
26 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Health Informatics 38
- Oncology 737
- Biomedical Engineering 1.0k
- Infectious Diseases 415
- Radiology, Nuclear Medicine and Imaging 462
Countries citing papers authored by Qinglin Shen
This map shows the geographic impact of Qinglin Shen'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 Qinglin Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinglin Shen more than expected).
Fields of papers citing papers by Qinglin Shen
This network shows the impact of papers produced by Qinglin Shen. 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 Qinglin Shen. The network helps show where Qinglin Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qinglin Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 83 | |
| 7 | 2020 | 8 | |
| 8 | Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?breakdown → | 2020 | 646 |
| 9 | 2020 | 8 | |
| 10 | 2019 | 18 | |
| 11 | 2018 | 22 | |
| 12 | 2016 | 7 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 133 | |
| 15 | 2013 | 96 | |
| 16 | 2013 | 27 | |
| 17 | 2013 | 267 | |
| 18 | 2013 | 182 | |
| 19 | 2012 | 301 | |
| 20 | 2012 | 229 |
About Qinglin Shen
Qinglin Shen is a scholar working on Oncology, Cancer Research and Biomaterials, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), 3D Printing in Biomedical Research (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Microfluidic and Bio-sensing Technologies (4 papers), COVID-19 diagnosis using AI (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), RNA Interference and Gene Delivery (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health Informatics (38 citations), Oncology (737 citations) and Biomedical Engineering (1.0k citations). Qinglin Shen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hsian‐Rong Tseng, Bing Fan, Zicong Li, Libo Zhao, Bingliang Zeng, Xiaofen Li, Chuanhong Wang, Honglu Li, Shuang Hou and Min Song. Their work appears in journals such as Advanced Materials, International Journal of Nanomedicine, RSC Advances, Frontiers in Cell and Developmental Biology and Frontiers in Bioengineering and Biotechnology.
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.