Chuanfeng Wu
- Molecular Biology
- Hematology top 5%
- Immunology top 10%
- Genetics
- Oncology
- Co-authors
- Cynthia E. DunbarRobert E. DonahueSamson KoelleThomas WinklerDiego A. EspinozaRong LuSo Gun HongAlexander Jares
- Topics
- T-cell and B-cell Immunology (14 papers)Immune Cell Function and Interaction (12 papers)Hematopoietic Stem Cell Transplantation (12 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chuanfeng Wu
43 papers receiving 944 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 527
- Hematology 264
- Immunology 253
- Genetics 148
- Oncology 117
Countries citing papers authored by Chuanfeng Wu
This map shows the geographic impact of Chuanfeng Wu'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 Chuanfeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuanfeng Wu more than expected).
Fields of papers citing papers by Chuanfeng Wu
This network shows the impact of papers produced by Chuanfeng Wu. 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 Chuanfeng Wu. The network helps show where Chuanfeng Wu may publish in the future.
Co-authorship network of co-authors of Chuanfeng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chuanfeng Wu. A scholar is included among the top collaborators of Chuanfeng Wu 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 Chuanfeng Wu. Chuanfeng Wu 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 | 0 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 36 | |
| 11 | 8 | |
| 12 | 37 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Statistical inference in partially observed stochastic compartmental models with application to cell lineage tracking of in vivo hematopoiesis | 1 |
| 17 | 9 | |
| 18 | 48 | |
| 19 | 54 | |
| 20 | 83 |
About Chuanfeng Wu
Chuanfeng Wu is a scholar working on Hematology, Immunology and Genetics, having authored 46 papers that have together received 969 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (12 papers) and Hematopoietic Stem Cell Transplantation (12 papers). The work is most often cited by research in Hematology (264 citations), Immunology (253 citations) and Genetics (97 citations). Chuanfeng Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Cynthia E. Dunbar, Robert E. Donahue, Samson Koelle, Thomas Winkler, Diego A. Espinoza, Rong Lu, So Gun Hong, Alexander Jares, Brian Li and Mark E. Metzger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.