Na Ding
Impact in
-
- FinTech, Crowdfunding, Digital Finance
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 2
- RNA modifications and cancer 2
-
- Catalytic C–H Functionalization Methods 5
- Catalytic Alkyne Reactions 3
- Co-authors
- Leilei Gu (1 shared paper)Yuchao Peng (1 shared paper)Yongsheng Li (2 shared papers)Tao Pan (2 shared papers)Xiaoxiao Li (5 shared papers)Zhigang Zhao (5 shared papers)Yongchun Liu (4 shared papers)Xia Li (2 shared papers)
- Journals
- The Plant Journal (1 paper)Infection Genetics and Evolution (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)RSC Advances (1 paper)Chemical Communications (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Na Ding
24 papers receiving 963 citations
Na Ding's Hit Papers
Peers
Comparison fields: 5 of 115
- Management Information Systems 153
- Cancer Research 159
- Accounting 115
- Economics and Econometrics 184
- Finance 56
Countries citing papers authored by Na Ding
This map shows the geographic impact of Na 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 Na Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Ding more than expected).
Fields of papers citing papers by Na Ding
This network shows the impact of papers produced by Na 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 Na Ding. The network helps show where Na Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fintech, financial constraints and innovation: Evidence from China Hit paper breakdown → | 2022 | 301 |
| 2 | 2015 | 147 | |
| 3 | 2013 | 95 | |
| 4 | 2017 | 95 | |
| 5 | 2012 | 56 | |
| 6 | 2021 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 36 | |
| 9 | 2012 | 28 | |
| 10 | 2009 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2013 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 14 | |
| 16 | 2009 | 10 | |
| 17 | 2008 | 10 | |
| 18 | 2008 | 6 | |
| 19 | 2021 | 4 | |
| 20 | 2019 | 4 |
About Na Ding
Na Ding is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Epidemiology and Electrical and Electronic Engineering, having authored 27 papers that have together received 977 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (5 papers), Catalytic Alkyne Reactions (3 papers), HIV Research and Treatment (3 papers), Advanced Wireless Communication Techniques (3 papers), RNA Research and Splicing (2 papers), Ultrasound and Cavitation Phenomena (2 papers), RNA modifications and cancer (2 papers) and Power Line Communications and Noise (2 papers). The work is most often cited by research in Management Information Systems (153 citations), Cancer Research (159 citations), Accounting (115 citations), Economics and Econometrics (184 citations) and Finance (56 citations). Na Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Leilei Gu, Yuchao Peng, Yongsheng Li, Tao Pan, Xiaoxiao Li, Zhigang Zhao, Yongchun Liu, Xia Li, Juan Xu and Jinwen Zhang. Their work appears in journals such as The Plant Journal, Infection Genetics and Evolution, Colloids and Surfaces A Physicochemical and Engineering Aspects, RSC Advances and Chemical Communications.
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.