Yinfei Kong
- Molecular Biology
- Epidemiology
- Public Health, Environmental and Occupational Health
- General Health Professions top 10%
- Statistics and Probability top 5%
- Co-authors
- Erick G. GuerreroTenie KhachikianYingying FanChengcai AnHortensia AmaroYang YangJeanne C. MarshKarissa Fenwick
- Topics
- Opioid Use Disorder Treatment (14 papers)Statistical Methods and Inference (8 papers)Substance Abuse Treatment and Outcomes (8 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesChinaMexico
In The Last Decade
Yinfei Kong
41 papers receiving 537 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 139
- Epidemiology 127
- Public Health, Environmental and Occupational Health 122
- General Health Professions 104
- Statistics and Probability 72
Countries citing papers authored by Yinfei Kong
This map shows the geographic impact of Yinfei Kong'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 Yinfei Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinfei Kong more than expected).
Fields of papers citing papers by Yinfei Kong
This network shows the impact of papers produced by Yinfei Kong. 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 Yinfei Kong. The network helps show where Yinfei Kong may publish in the future.
Co-authorship network of co-authors of Yinfei Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Yinfei Kong. A scholar is included among the top collaborators of Yinfei Kong 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 Yinfei Kong. Yinfei Kong 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | 72 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 28 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 70 | |
| 20 | 12 |
About Yinfei Kong
Yinfei Kong is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health and General Health Professions, having authored 44 papers that have together received 548 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (14 papers), Statistical Methods and Inference (8 papers) and Substance Abuse Treatment and Outcomes (8 papers). The work is most often cited by research in Statistics and Probability (72 citations), Biochemistry (33 citations) and Public Health, Environmental and Occupational Health (122 citations). Yinfei Kong has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Erick G. Guerrero, Tenie Khachikian, Yingying Fan, Chengcai An, Hortensia Amaro, Yang Yang, Jeanne C. Marsh, Karissa Fenwick, Jinchi Lv and Jiang F. Zhong. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.