Ying Gu
Impact in
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- Nanoparticle-Based Drug Delivery
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- Diabetic Foot Ulcer Assessment and Management
- Thyroid Cancer Diagnosis and Treatment
Papers in
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- RNA Interference and Gene Delivery 2
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- Thyroid Cancer Diagnosis and Treatment 3
- Co-authors
- Yu Cao (3 shared papers)Hongxuan He (2 shared papers)Lina Liu (1 shared paper)Hong Ma (1 shared paper)Jing Bai (1 shared paper)Yizhi Zhang (1 shared paper)Yang Liu (1 shared paper)Jing Ouyang (1 shared paper)
- Journals
- Dermatologic Therapy (2 papers)Australasian Journal of Dermatology (1 paper)Frontiers in Nutrition (1 paper)International Journal of Biological Macromolecules (1 paper)Molecular Pharmaceutics (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Ying Gu
25 papers receiving 253 citations
Peers
Comparison fields: 5 of 67
- Biomaterials 62
- Endocrinology, Diabetes and Metabolism 54
- Rehabilitation 21
- Occupational Therapy 12
- Pharmaceutical Science 16
Countries citing papers authored by Ying Gu
This map shows the geographic impact of Ying Gu'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 Ying Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Gu more than expected).
Fields of papers citing papers by Ying Gu
This network shows the impact of papers produced by Ying Gu. 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 Ying Gu. The network helps show where Ying Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Gu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 57 | |
| 2 | 2021 | 49 | |
| 3 | 2022 | 44 | |
| 4 | 2015 | 23 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2010 | 3 | |
| 16 | 2017 | 3 | |
| 17 | Detection of Potato Spindle Tuber Viroid Using RNA Hybridized Chips | 2006 | 2 |
| 18 | 2018 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2019 | 1 |
About Ying Gu
Ying Gu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Biomaterials, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 31 papers that have together received 264 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), RNA Interference and Gene Delivery (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Graphene and Nanomaterials Applications (2 papers), Advanced Drug Delivery Systems (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Biomaterials (62 citations), Endocrinology, Diabetes and Metabolism (54 citations), Rehabilitation (21 citations), Occupational Therapy (12 citations) and Pharmaceutical Science (16 citations). Ying Gu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yu Cao, Hongxuan He, Lina Liu, Hong Ma, Jing Bai, Yizhi Zhang, Yang Liu, Jing Ouyang, Haiyan Zhou and Bei Zhang. Their work appears in journals such as Dermatologic Therapy, Australasian Journal of Dermatology, Frontiers in Nutrition, International Journal of Biological Macromolecules and Molecular Pharmaceutics.
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.