Fang Dong
- Molecular Biology top 5%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 5%
- Environmental Engineering top 5%
- Co-authors
- Zhiguo ZhangHaiyun GanJann N. SarkariaYanjun ZhangC. David JamesSabine MuellerJunqi JiaYuan Fang
- Topics
- Epigenetics and DNA Methylation (14 papers)Anaerobic Digestion and Biogas Production (9 papers)Microbial Fuel Cells and Bioremediation (8 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fang Dong
109 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 1.7k
- Genetics 591
- Endocrinology, Diabetes and Metabolism 364
- Cancer Research 355
- Environmental Engineering 298
Countries citing papers authored by Fang Dong
This map shows the geographic impact of Fang Dong'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 Fang Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Dong more than expected).
Fields of papers citing papers by Fang Dong
This network shows the impact of papers produced by Fang Dong. 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 Fang Dong. The network helps show where Fang Dong may publish in the future.
Co-authorship network of co-authors of Fang Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Dong. A scholar is included among the top collaborators of Fang Dong 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 Fang Dong. Fang Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 30 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | Exenatide once weekly plus dapagliflozin once daily versus exenatide or dapagliflozin alone in patients with type 2 diabetes inadequately controlled with metformin monotherapy (DURATION-8): a 28 week, multicentre, double-blind, phase 3, randomised controlled trialbreakdown → | 328 |
| 17 | 1 | |
| 18 | Optimal treatment cost allocation methods in pollution control | 1 |
| 19 | 7 | |
| 20 | Leading indicators of country risk and currency crises: the Asian experience | 28 |
About Fang Dong
Fang Dong is a scholar working on Environmental Engineering, Building and Construction and Nephrology, having authored 117 papers that have together received 3.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Anaerobic Digestion and Biogas Production (9 papers) and Microbial Fuel Cells and Bioremediation (8 papers). The work is most often cited by research in Genetics (591 citations), Molecular Biology (1.7k citations) and Cancer Research (355 citations). Fang Dong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhiguo Zhang, Haiyun Gan, Jann N. Sarkaria, Yanjun Zhang, C. David James, Sabine Mueller, Junqi Jia, Yuan Fang, Nalin Gupta and Rintaro Hashizume. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological 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.