Huihui Fan
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Charles M. PerouAndrew B. NobelKatherine A. HoadleyLodewyk F.A. WesselsDaniel OhDimitry S.A. NuytenBritta WeigeltLaura J. van’t Veer
- Topics
- Epigenetics and DNA Methylation (13 papers)Cancer Genomics and Diagnostics (11 papers)Cancer-related molecular mechanisms research (10 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Huihui Fan
95 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.1k
- Cancer Research 1.7k
- Oncology 1.4k
- Radiology, Nuclear Medicine and Imaging 728
- Pulmonary and Respiratory Medicine 703
Countries citing papers authored by Huihui Fan
This map shows the geographic impact of Huihui Fan'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 Huihui Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huihui Fan more than expected).
Fields of papers citing papers by Huihui Fan
This network shows the impact of papers produced by Huihui Fan. 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 Huihui Fan. The network helps show where Huihui Fan may publish in the future.
Co-authorship network of co-authors of Huihui Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Huihui Fan. A scholar is included among the top collaborators of Huihui Fan 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 Huihui Fan. Huihui Fan 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 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 14 | |
| 13 | MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assaysbreakdown → | 373 |
| 14 | 112 | |
| 15 | 27 | |
| 16 | 9 | |
| 17 | 58 | |
| 18 | 24 | |
| 19 | 100 | |
| 20 | 97 |
About Huihui Fan
Huihui Fan is a scholar working on Cancer Research, Biological Psychiatry and Hematology, having authored 101 papers that have together received 4.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Cancer Genomics and Diagnostics (11 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (1.4k citations) and Radiology, Nuclear Medicine and Imaging (728 citations). Huihui Fan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Charles M. Perou, Andrew B. Nobel, Katherine A. Hoadley, Lodewyk F.A. Wessels, Daniel Oh, Dimitry S.A. Nuyten, Britta Weigelt, Laura J. van’t Veer, Joel S. Parker and William Y. Kim. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.