Kai Fu
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 71
- Oncology 46
- Viral-associated cancers and disorders 23
- CAR-T cell therapy research 10
- Co-authors
- Wing C. Chan (43 shared papers)Dennis D. Weisenburger (21 shared papers)Timothy C. Greiner (24 shared papers)Julie M. Vose (21 shared papers)Lynette M. Smith (16 shared papers)Fang Wang (3 shared papers)Liwu Fu (2 shared papers)Javeed Iqbal (21 shared papers)
- Journals
- Blood (18 papers)American Journal of Clinical Pathology (7 papers)British Journal of Haematology (5 papers)Hematological Oncology (4 papers)The American Journal of Surgical Pathology (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kai Fu
148 papers receiving 4.0k citations
Kai Fu's Hit Papers
Peers
Comparison fields: 5 of 139
- Pathology and Forensic Medicine 1.8k
- Genetics 803
- Oncology 1.3k
- Cancer Research 416
- Neurology 304
Countries citing papers authored by Kai Fu
This map shows the geographic impact of Kai Fu'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 Kai Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Fu more than expected).
Fields of papers citing papers by Kai Fu
This network shows the impact of papers produced by Kai Fu. 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 Kai Fu. The network helps show where Kai Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 349 | |
| 2 | 2008 | 245 | |
| 3 | Therapeutic strategies for EGFR-mutated non-small cell lung cancer patients with osimertinib resistance Hit paper breakdown → | 2022 | 244 |
| 4 | 2005 | 241 | |
| 5 | 2011 | 148 | |
| 6 | 2014 | 130 | |
| 7 | 2015 | 130 | |
| 8 | 2008 | 119 | |
| 9 | 2012 | 112 | |
| 10 | 2008 | 104 | |
| 11 | 2015 | 92 | |
| 12 | 2013 | 72 | |
| 13 | 2007 | 68 | |
| 14 | 2002 | 64 | |
| 15 | 2010 | 61 | |
| 16 | 2003 | 60 | |
| 17 | 2013 | 59 | |
| 18 | 2011 | 59 | |
| 19 | 2010 | 56 | |
| 20 | 2010 | 55 |
About Kai Fu
Kai Fu is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 159 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (71 papers), Chronic Lymphocytic Leukemia Research (35 papers), Viral-associated cancers and disorders (23 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), CAR-T cell therapy research (10 papers), Sarcoma Diagnosis and Treatment (7 papers), Immune Cell Function and Interaction (7 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Genetics (803 citations), Oncology (1.3k citations), Cancer Research (416 citations) and Neurology (304 citations). Kai Fu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wing C. Chan, Dennis D. Weisenburger, Timothy C. Greiner, Julie M. Vose, Lynette M. Smith, Fang Wang, Liwu Fu, Javeed Iqbal, Qinglong Hu and Jamés O. Armitage. Their work appears in journals such as Blood, American Journal of Clinical Pathology, British Journal of Haematology, Hematological Oncology and The American Journal of Surgical Pathology.
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.