Huifen Chen
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Management Science and Operations Research top 5%
- Co-authors
- Bruce W. SchmeiserDinshaw J. PatelXiucai LiuJack A. TerrettJohn G. MoffatCharles M. LieberAmy M. DelaneyJohn A. Printen
- Topics
- Statistical Methods and Inference (9 papers)Melanoma and MAPK Pathways (8 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Science and Operations Research
- Journals
- Journal of the American Chemical SocietyPhysical Review LettersJournal of Molecular Biology
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Huifen Chen
78 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 165
- Molecular Biology 529
- Organic Chemistry 231
- Computational Theory and Mathematics 163
- Materials Chemistry 149
- Management Science and Operations Research 143
Countries citing papers authored by Huifen Chen
This map shows the geographic impact of Huifen Chen'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 Huifen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huifen Chen more than expected).
Fields of papers citing papers by Huifen Chen
This network shows the impact of papers produced by Huifen Chen. 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 Huifen Chen. The network helps show where Huifen Chen may publish in the future.
Co-authorship network of co-authors of Huifen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Huifen Chen. A scholar is included among the top collaborators of Huifen Chen 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 Huifen Chen. Huifen Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 32 | |
| 8 | 29 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 30 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 155 | |
| 15 | 4 | |
| 16 | 58 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 29 | |
| 20 | 19 |
About Huifen Chen
Huifen Chen is a scholar working on Statistics and Probability, Management Science and Operations Research and Family Practice, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Melanoma and MAPK Pathways (8 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (127 citations), Statistics and Probability (129 citations) and Management Science and Operations Research (143 citations). Huifen Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Bruce W. Schmeiser, Dinshaw J. Patel, Xiucai Liu, Jack A. Terrett, John G. Moffat, Charles M. Lieber, Amy M. Delaney, John A. Printen, Eric B. Fauman and David T. Dudley. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Journal of Molecular Biology.
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.