Gang Ding
- Molecular Biology top 10%
- Pharmacology top 1%
- Plant Science top 10%
- Complementary and alternative medicine top 2%
- Pharmacology top 5%
- Topics
- Pharmacological Effects of Natural Compounds (14 papers)Natural product bioactivities and synthesis (14 papers)Traditional Chinese Medicine Analysis (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Gang Ding
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 758
- Pharmacology 397
- Plant Science 267
- Complementary and alternative medicine 245
- Pharmacology 185
Countries citing papers authored by Gang Ding
This map shows the geographic impact of Gang 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 Gang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Ding more than expected).
Fields of papers citing papers by Gang Ding
This network shows the impact of papers produced by Gang 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 Gang Ding. The network helps show where Gang Ding may publish in the future.
Co-authorship network of co-authors of Gang Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ding. A scholar is included among the top collaborators of Gang Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ding. Gang Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 11 | |
| 3 | 44 | |
| 4 | 27 | |
| 5 | 22 | |
| 6 | 164 | |
| 7 | 24 | |
| 8 | 26 | |
| 9 | 7 | |
| 10 | 54 | |
| 11 | 48 | |
| 12 | 18 | |
| 13 | 27 | |
| 14 | Convolution Sum Discrete Process Neural Network and Its Application in Aeroengine Exhausted Gas Temperature Prediction | 6 |
| 15 | 3 | |
| 16 | 19 | |
| 17 | Civil aero-engine module workscope decision-making | 2 |
| 18 | Ubiquitous Technology and Teaching Development in the Research University | 1 |
| 19 | Identification and Content Determination of Strictosamide in Lignum Naucleae and its Injection | 6 |
| 20 | Qualitative and Quantitative Studies of Costunolide and Dehydrocostus Lactone in Radix Aucklandiae | 1 |
About Gang Ding
Gang Ding is a scholar working on Pharmacology, Complementary and alternative medicine and Neurology, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (14 papers), Natural product bioactivities and synthesis (14 papers) and Traditional Chinese Medicine Analysis (8 papers). The work is most often cited by research in Pharmacology (397 citations), Complementary and alternative medicine (245 citations) and Biochemistry (99 citations). Gang Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Xiao, Zhenzhong Wang, Bharat Bhargava, Liang Cao, Linguo Zhao, Zeyu Cao, Jianjun Pei, Wenzhe Huang, Yue Ding and Zhaoqing Meng. Their work appears in journals such as PLoS ONE, Bioresource Technology and Journal of Agricultural and Food Chemistry.
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.