Ting Ding
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Photosynthetic Processes and Mechanisms 2
- Fibroblast Growth Factor Research 2
- Oncology 5
- Lung Cancer Research Studies 2
- Co-authors
- Quanwen Liu (2 shared papers)Hongbo Xin (2 shared papers)Wenjie Zhang (2 shared papers)Qianyu Liu (2 shared papers)Ling Xiao (2 shared papers)Jingyuan Li (1 shared paper)Ke‐Yu Deng (1 shared paper)Xianghong Lu (2 shared papers)
- Journals
- Scientific Reports (2 papers)Stem Cell Research & Therapy (2 papers)Dose-Response (1 paper)Medicine (1 paper)Cancer Biomarkers (1 paper)
- Partner nations
- China
In The Last Decade
Ting Ding
29 papers receiving 542 citations
Peers
Comparison fields: 5 of 98
- Rehabilitation 64
- Genetics 95
- Pharmacology 31
- Oncology 87
- Molecular Biology 198
Countries citing papers authored by Ting Ding
This map shows the geographic impact of Ting 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 Ting Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Ding more than expected).
Fields of papers citing papers by Ting Ding
This network shows the impact of papers produced by Ting 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 Ting Ding. The network helps show where Ting Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 152 | |
| 2 | 2014 | 89 | |
| 3 | 2018 | 37 | |
| 4 | 2018 | 30 | |
| 5 | 2014 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2014 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2023 | 10 | |
| 16 | Effects of Polygonum multiflorum on the activity of cytochrome P450 isoforms in rats. | 2015 | 10 |
| 17 | 2018 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2020 | 5 |
About Ting Ding
Ting Ding is a scholar working on Molecular Biology, Oncology, Civil and Structural Engineering, Hematology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 544 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Structural Engineering and Vibration Analysis (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Fibroblast Growth Factor Research (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Rehabilitation (64 citations), Genetics (95 citations), Pharmacology (31 citations), Oncology (87 citations) and Molecular Biology (198 citations). Ting Ding has collaborated with scholars based in China. Frequent co-authors include Quanwen Liu, Hongbo Xin, Wenjie Zhang, Qianyu Liu, Ling Xiao, Jingyuan Li, Ke‐Yu Deng, Xianghong Lu, Xiaokun Li and Yi Zhang. Their work appears in journals such as Scientific Reports, Stem Cell Research & Therapy, Dose-Response, Medicine and Cancer Biomarkers.
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.