Xinyuan Dai
- Molecular Biology
- Political Science and International Relations top 2%
- Sociology and Political Science top 5%
- Development top 1%
- Cancer Research top 10%
- Topics
- RNA modifications and cancer (10 papers)International Development and Aid (9 papers)Cancer-related molecular mechanisms research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyAmerican Political Science Review
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xinyuan Dai
36 papers receiving 992 citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 343
- Political Science and International Relations 343
- Sociology and Political Science 331
- Development 194
- Cancer Research 177
Countries citing papers authored by Xinyuan Dai
This map shows the geographic impact of Xinyuan Dai'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 Xinyuan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyuan Dai more than expected).
Fields of papers citing papers by Xinyuan Dai
This network shows the impact of papers produced by Xinyuan Dai. 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 Xinyuan Dai. The network helps show where Xinyuan Dai may publish in the future.
Co-authorship network of co-authors of Xinyuan Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyuan Dai. A scholar is included among the top collaborators of Xinyuan Dai 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 Xinyuan Dai. Xinyuan Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 29 | |
| 5 | 13 | |
| 6 | 35 | |
| 7 | 61 | |
| 8 | 50 | |
| 9 | 59 | |
| 10 | 24 | |
| 11 | 19 | |
| 12 | 0 | |
| 13 | Why Comply? The Domestic Constituency Mechanism | 4 |
| 14 | Political Regimes and International Trade: The Democratic Difference Revisted | 5 |
| 15 | The Conditional Nature of Democratic Compliance | 2 |
| 16 | Dyadic Myth and Monadic Advantage: Conceptualizing the Effect of Democratic Constraints on Trade | 1 |
| 17 | Information Systems in Treaty Regimes | 5 |
| 18 | 43 | |
| 19 | 32 | |
| 20 | 70 |
About Xinyuan Dai
Xinyuan Dai is a scholar working on Development, General Economics, Econometrics and Finance and Cancer Research, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), International Development and Aid (9 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Development (194 citations), Political Science and International Relations (343 citations) and Cancer Research (177 citations). Xinyuan Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qiang Ding, Ji‐Fu Wei, Liang Shi, Xu Zhang, Yuzhou Huang, Haiyan Yang, Danching Ruan, Wenhong Zhang, Linton C. Freeman and Lin Cheng. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and American Political Science Review.
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.