Ting Guo
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA Interference and Gene Delivery 8
- Advanced biosensing and bioanalysis techniques 4
- Circular RNAs in diseases 3
- Molecular Biology Techniques and Applications 3
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- Nanoparticle-Based Drug Delivery 5
- Co-authors
- Mei Lin (18 shared papers)Jun Ye (8 shared papers)Junxing Huang (7 shared papers)Xuefeng Bian (6 shared papers)Xingmao Jiang (6 shared papers)Yujuan Shi (6 shared papers)Li Z (5 shared papers)Keyong Tang (2 shared papers)
- Journals
- Analytical Cellular Pathology (4 papers)Journal of Fungi (2 papers)International Journal of Food Microbiology (1 paper)Frontiers in Oncology (1 paper)Bioprinting (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ting Guo
42 papers receiving 768 citations
Peers
Comparison fields: 5 of 104
- Biomaterials 200
- Cancer Research 117
- Molecular Medicine 36
- Molecular Biology 311
- Biomedical Engineering 194
Countries citing papers authored by Ting Guo
This map shows the geographic impact of Ting Guo'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 Ting Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Guo more than expected).
Fields of papers citing papers by Ting Guo
This network shows the impact of papers produced by Ting Guo. 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 Ting Guo. The network helps show where Ting Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Guo, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2018 | 60 | |
| 3 | 2020 | 56 | |
| 4 | 2016 | 49 | |
| 5 | 2017 | 46 | |
| 6 | 2022 | 41 | |
| 7 | 2018 | 34 | |
| 8 | 2015 | 33 | |
| 9 | 2004 | 31 | |
| 10 | 2019 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2018 | 27 | |
| 13 | 2023 | 22 | |
| 14 | 2021 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2011 | 13 | |
| 20 | 2021 | 13 |
About Ting Guo
Ting Guo is a scholar working on Molecular Biology, Biomaterials, Cancer Research, Immunology and Biomedical Engineering, having authored 44 papers that have together received 777 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Cancer-related molecular mechanisms research (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Virus-based gene therapy research (4 papers), Circular RNAs in diseases (3 papers), Molecular Biology Techniques and Applications (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Biomaterials (200 citations), Cancer Research (117 citations), Molecular Medicine (36 citations), Molecular Biology (311 citations) and Biomedical Engineering (194 citations). Ting Guo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mei Lin, Jun Ye, Junxing Huang, Xuefeng Bian, Xingmao Jiang, Yujuan Shi, Li Z, Keyong Tang, Fang Wang and Ying Pei. Their work appears in journals such as Analytical Cellular Pathology, Journal of Fungi, International Journal of Food Microbiology, Frontiers in Oncology and Bioprinting.
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.