Jingyi Ding
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- General Health Professions top 10%
- Health Literacy and Information Accessibility
- Mobile Health and mHealth Applications
Papers in
-
- Ubiquitin and proteasome pathways 1
- Co-authors
- Lubna Daraz (1 shared paper)Abdulrahman Katabi (1 shared paper)Mouaz Alsawas (1 shared paper)Magdoleen H. Farah (1 shared paper)M. Hassan Murad (1 shared paper)Larry Prokop (1 shared paper)Bradley Beuschel (1 shared paper)Raed Benkhadra (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Journal of Integrative Medicine (1 paper)BioMed Research International (1 paper)PeerJ (1 paper)Journal of General Internal Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jingyi Ding
11 papers receiving 410 citations
Jingyi Ding's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 34
- General Health Professions 102
- Health 32
- Cancer Research 32
- Virology 10
Countries citing papers authored by Jingyi Ding
This map shows the geographic impact of Jingyi Ding'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 Jingyi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyi Ding more than expected).
Fields of papers citing papers by Jingyi Ding
This network shows the impact of papers produced by Jingyi Ding. 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 Jingyi Ding. The network helps show where Jingyi Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingyi Ding, 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 | Can Patients Trust Online Health Information? A Meta-narrative Systematic Review Addressing the Quality of Health Information on the Internet Hit paper breakdown → | 2019 | 255 |
| 2 | 2022 | 29 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 2 |
About Jingyi Ding
Jingyi Ding is a scholar working on Molecular Biology, Complementary and alternative medicine, Cell Biology, Cancer Research and Infectious Diseases, having authored 12 papers that have together received 417 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Cardiac Valve Diseases and Treatments (1 paper), Plant-based Medicinal Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Ubiquitin and proteasome pathways (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Health Informatics (34 citations), General Health Professions (102 citations), Health (32 citations), Cancer Research (32 citations) and Virology (10 citations). Jingyi Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lubna Daraz, Abdulrahman Katabi, Mouaz Alsawas, Magdoleen H. Farah, M. Hassan Murad, Larry Prokop, Bradley Beuschel, Raed Benkhadra, Allison S. Morrow and Oscar J. Ponce. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Integrative Medicine, BioMed Research International, PeerJ and Journal of General Internal Medicine.
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.