Shaoli Deng
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
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- Advanced biosensing and bioanalysis techniques 6
- DNA Repair Mechanisms 3
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- Tuberculosis Research and Epidemiology 8
- Co-authors
- Kai Chang (11 shared papers)Fake Li (11 shared papers)Kejun Zhang (9 shared papers)Shuangrong Jia (8 shared papers)Ming Chen (5 shared papers)Weiping Lu (7 shared papers)Junji Wang (1 shared paper)Weiping Lu (4 shared papers)
- Journals
- OncoTargets and Therapy (4 papers)Biosensors and Bioelectronics (3 papers)PLoS ONE (2 papers)Molecular Biology Reports (2 papers)Journal of Infection (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shaoli Deng
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 321
- Reproductive Medicine 91
- Cancer Research 160
- Immunology 176
- Epidemiology 225
Countries citing papers authored by Shaoli Deng
This map shows the geographic impact of Shaoli Deng'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 Shaoli Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoli Deng more than expected).
Fields of papers citing papers by Shaoli Deng
This network shows the impact of papers produced by Shaoli Deng. 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 Shaoli Deng. The network helps show where Shaoli Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoli Deng, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 205 | |
| 2 | 2014 | 101 | |
| 3 | 2012 | 99 | |
| 4 | 2015 | 78 | |
| 5 | 2014 | 56 | |
| 6 | 2017 | 52 | |
| 7 | 2013 | 44 | |
| 8 | 2018 | 39 | |
| 9 | 2010 | 39 | |
| 10 | 2013 | 37 | |
| 11 | 2012 | 35 | |
| 12 | 2012 | 32 | |
| 13 | Methylation of kruppel-like factor 2 (KLF2) associates with its expression and non-small cell lung cancer progression. | 2017 | 31 |
| 14 | 2011 | 28 | |
| 15 | 2016 | 27 | |
| 16 | 2013 | 26 | |
| 17 | 2017 | 25 | |
| 18 | 2012 | 21 | |
| 19 | 2012 | 18 | |
| 20 | 2010 | 17 |
About Shaoli Deng
Shaoli Deng is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Biomedical Engineering and Cancer Research, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (4 papers), Cancer-related molecular mechanisms research (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), DNA Repair Mechanisms (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Infectious Diseases (321 citations), Reproductive Medicine (91 citations), Cancer Research (160 citations), Immunology (176 citations) and Epidemiology (225 citations). Shaoli Deng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kai Chang, Fake Li, Kejun Zhang, Shuangrong Jia, Ming Chen, Weiping Lu, Junji Wang, Ming Chen, Weiping Lu and Tao Yuan. Their work appears in journals such as OncoTargets and Therapy, Biosensors and Bioelectronics, PLoS ONE, Molecular Biology Reports and Journal of Infection.
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.