Jing Ding
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Metabolism, Diabetes, and Cancer 3
- Circular RNAs in diseases 2
- Natural product bioactivities and synthesis 2
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Huae Xu (3 shared papers)Wei‐Hao Sun (3 shared papers)Xiaolin Li (2 shared papers)Hao Zhang (2 shared papers)Jiyan Liu (8 shared papers)Yang Du (5 shared papers)Jiyan Liu (2 shared papers)Kai Zhang (1 shared paper)
- Journals
- Frontiers in Endocrinology (2 papers)Bioscience Reports (2 papers)Gynecologic Oncology (1 paper)Diagnostic Pathology (1 paper)Biomaterials (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jing Ding
37 papers receiving 857 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 268
- Applied Microbiology and Biotechnology 17
- Molecular Biology 539
- Geriatrics and Gerontology 13
- Pathology and Forensic Medicine 59
Countries citing papers authored by Jing Ding
This map shows the geographic impact of Jing 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 Jing Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ding more than expected).
Fields of papers citing papers by Jing Ding
This network shows the impact of papers produced by Jing 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 Jing Ding. The network helps show where Jing Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 179 | |
| 2 | 2012 | 94 | |
| 3 | 2019 | 79 | |
| 4 | 2013 | 57 | |
| 5 | 2022 | 51 | |
| 6 | 2016 | 45 | |
| 7 | 2014 | 34 | |
| 8 | 2015 | 33 | |
| 9 | 2020 | 31 | |
| 10 | 2013 | 30 | |
| 11 | 2019 | 23 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 20 | |
| 14 | 2013 | 19 | |
| 15 | 2016 | 16 | |
| 16 | 2019 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2015 | 11 |
About Jing Ding
Jing Ding is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 869 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Metabolism, Diabetes, and Cancer (3 papers), interferon and immune responses (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Circular RNAs in diseases (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Cancer Research (268 citations), Applied Microbiology and Biotechnology (17 citations), Molecular Biology (539 citations), Geriatrics and Gerontology (13 citations) and Pathology and Forensic Medicine (59 citations). Jing Ding has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Huae Xu, Wei‐Hao Sun, Xiaolin Li, Hao Zhang, Jiyan Liu, Yang Du, Jiyan Liu, Kai Zhang, Yajuan Zhu and Xiufen Chen. Their work appears in journals such as Frontiers in Endocrinology, Bioscience Reports, Gynecologic Oncology, Diagnostic Pathology and Biomaterials.
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.