Kai Fu

147 papers receiving 3.9k citations

Kai Fu's Hit Papers

Therapeutic strategies for EGFR-mutated non-small cell lung cancer patients with osimertinib resistance 2022 · 241 citations
2410+1+2Years since publication50100150200

Peers

Kai Fu
Comparison fields: 5 of 139
  • Pathology and Forensic Medicine 1.7k
  • Genetics 729
  • Oncology 1.2k
  • Cancer Research 404
  • Dermatology 169
Replace Betsy LaPlant with:
Betsy LaPlant United States
Nalini Janakiraman United States
George Z. Rassidakis United States
Fortunato Morabito Italy
Lynne V. Abruzzo United States
Michael Herold Germany
Markus J. Mäkinen Finland
Ayad Al‐Katib United States
P. Maslak United States
Rishu Takimoto Japan
Kai Fu relative to Betsy LaPlant United States Betsy LaPlant's profile →
Citations per field
00.5×1.5×2.1×
Betsy LaPlant · 1×
Citations per year

Countries citing papers authored by Kai Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kai Fu Line = papers co-authored together Kai Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010338
2
Therapeutic strategies for EGFR-mutated non-small cell lung cancer patients with osimertinib resistance
Hit paper breakdown →
2022241
3 2008240
4 2005218
5 2011145
6 2014128
7 2015128
8 2012109
9 2008108
10 200897
11 201592
12 200766
13 201365
14 200260
15 201358
16 200358
17 201158
18 201554
19 201053
20 201052

About Kai Fu

Kai Fu is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Immunology, having authored 158 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (70 papers), Chronic Lymphocytic Leukemia Research (35 papers), Viral-associated cancers and disorders (22 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (7 papers), Acute Myeloid Leukemia Research (7 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.7k citations), Genetics (729 citations), Oncology (1.2k citations), Cancer Research (404 citations) and Dermatology (169 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, Jamés O. Armitage and R. Gregory Bociek. Their work appears in journals such as Blood, American Journal of Clinical Pathology, British Journal of Haematology, Archives of Pathology & Laboratory Medicine 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.

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