Kai Fu

11.8k citations
152 papers · 3.8k indexed · 1 hit paper · h-index 31

Kai Fu

142 papers receiving 3.8k citations

Hit Papers

Therapeutic strategies for EGFR-mutated non-small cell lu...210202220262023202450100150200

Peers

Kai Fu
Comparison fields: 5 of 137
  • Pathology and Forensic Medicine 1.9k
  • Genetics 866
  • Oncology 1.4k
  • Cancer Research 466
  • Neurology 348
Replace Betsy LaPlant with:
Betsy LaPlant United States
Seung‐Sook Lee South Korea
George Z. Rassidakis United States
Lynne V. Abruzzo United States
Sven de Vos United States
Michael Herold Germany
Rod Humerickhouse United States
Ayad Al‐Katib United States
P. Maslak United States
Kyriakos P. Papadopoulos United States
Kai Fu relative to Betsy LaPlant United States Betsy LaPlant's profile →
Citations per field
00.5×1.5×
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-authorship network

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
#Work
1 20251
2 20250
3 202412
4 20240
5 20245
6 20232
7 20232
8 20211
9 201924
10 201927
11 20171
12 20168
13 201554
14 201430
15 201414
16 201246
17 201129
18
[Prevalence of germinal center B-cell-like and non-germinal center B-cell-like types of diffuse large B-cell lymphoma in Shanghai, China].
20106
19 200827
20 200722

About Kai Fu

Kai Fu is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Dermatology and Hematology, having authored 152 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (75 papers), Chronic Lymphocytic Leukemia Research (39 papers), Viral-associated cancers and disorders (24 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), CAR-T cell therapy research (10 papers), Cutaneous lymphoproliferative disorders research (9 papers), Immune Cell Function and Interaction (8 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.9k citations), Genetics (866 citations), Oncology (1.4k citations), Cancer Research (466 citations) and Neurology (348 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, Liwu Fu, Fang Wang, Javeed Iqbal, Jamés O. Armitage and Timothy W. McKeithan. 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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2026