Na Ding
Impact in
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- FinTech, Crowdfunding, Digital Finance
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA Research and Splicing 2
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- Catalytic C–H Functionalization Methods 5
- Catalytic Alkyne Reactions 3
- Synthesis and Catalytic Reactions 2
- Co-authors
- Yuchao Peng (1 shared paper)Leilei Gu (1 shared paper)Xiaoxiao Li (5 shared papers)Zhigang Zhao (5 shared papers)Tao Pan (2 shared papers)Yongchun Liu (4 shared papers)Xia Li (2 shared papers)Juan Xu (2 shared papers)
- Journals
- Environment International (1 paper)Journal of Virology (1 paper)Journal of Chemical Technology & Biotechnology (1 paper)BMC Plant Biology (1 paper)Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Na Ding
24 papers receiving 1.0k citations
Na Ding's Hit Papers
Peers
Comparison fields: 5 of 115
- Management Information Systems 164
- Cancer Research 146
- Accounting 123
- Economics and Econometrics 189
- Finance 60
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 29 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 | 333 |
| 2 | 2015 | 153 | |
| 3 | 2017 | 100 | |
| 4 | 2013 | 98 | |
| 5 | 2012 | 59 | |
| 6 | 2019 | 47 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 38 | |
| 9 | 2012 | 33 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2009 | 16 | |
| 14 | 2013 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2009 | 10 | |
| 17 | 2008 | 10 | |
| 18 | 2008 | 6 | |
| 19 | 2019 | 4 | |
| 20 | 2013 | 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 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (5 papers), Catalytic Alkyne Reactions (3 papers), Advanced Wireless Communication Techniques (3 papers), HIV Research and Treatment (3 papers), RNA Research and Splicing (2 papers), Ultrasound and Cavitation Phenomena (2 papers), Synthesis and Catalytic Reactions (2 papers) and PAPR reduction in OFDM (2 papers). The work is most often cited by research in Management Information Systems (164 citations), Cancer Research (146 citations), Accounting (123 citations), Economics and Econometrics (189 citations) and Finance (60 citations). Na Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuchao Peng, Leilei Gu, Xiaoxiao Li, Zhigang Zhao, Tao Pan, Yongchun Liu, Xia Li, Juan Xu, Yongsheng Li and Lihua Wang. Their work appears in journals such as Environment International, Journal of Virology, Journal of Chemical Technology & Biotechnology, BMC Plant Biology and Molecular Immunology.
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.