Kai Fu

159 papers receiving 8.4k citations

Kai Fu's Hit Papers

Activating mutations of STAT5B and STAT3 in lymphomas derived from γδ-T or NK cells 2015 · 337 citations
3370+6+13Years since publication200400600

Peers

Kai Fu
Comparison fields: 5 of 103
  • Pathology and Forensic Medicine 5.4k
  • Cancer Research 644
  • Oncology 757
  • Genetics 230
  • Hematology 215
Replace Tom van Wezel with:
Tom van Wezel Netherlands
Zijun Yidan Xu-Monette United States
Nathalie A. Johnson Canada
Rebecca Elstrom United States
Felipe Samaniego United States
Paul Bernard Romesser United States
Anastasios Stathis Switzerland
Steven H. Bernstein United States
Maria Dêbiec‐Rychter Belgium
Constance T. Albarracin United States
Kai Fu relative to Tom van Wezel Netherlands Tom van Wezel's profile →
Citations per field
00.5×1.5×2.2×
Tom van Wezel · 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 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular Diagnosis of Burkitt's Lymphoma
Hit paper breakdown →
2006684
2
A New Immunostain Algorithm Classifies Diffuse Large B-Cell Lymphoma into Molecular Subtypes with High Accuracy
Hit paper breakdown →
2009534
3
Determining cell-of-origin subtypes of diffuse large B-cell lymphoma using gene expression in formalin-fixed paraffin-embedded tissue
Hit paper breakdown →
2014521
4 2010402
5
Activating mutations of STAT5B and STAT3 in lymphomas derived from γδ-T or NK cells
Hit paper breakdown →
2015337
6 2009290
7 2008278
8 2005260
9 2019219
10 2015195
11 2007171
12 2011160
13 2014149
14 2015138
15 2006128
16 2008118
17 2012114
18 2014112
19 2013111
20 2008107

About Kai Fu

Kai Fu is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Genetics and Rheumatology, having authored 163 papers that have together received 8.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (114 papers), MicroRNA in disease regulation (9 papers), Viral-associated cancers and disorders (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (5.4k citations), Cancer Research (644 citations), Oncology (757 citations), Genetics (230 citations) and Hematology (215 citations). Kai Fu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wing Chung Chan, Dennis D. Weisenburger, Timothy C. Greiner, Lynette M. Smith, Julie Marie Vose, Javeed Iqbal, Qinglong Hu, Louis M. Staudt, Georg Lenz and James O. Armitage. Their work appears in journals such as Blood, British Journal of Haematology, Hematological Oncology, American Journal of Clinical Pathology and Leukemia.

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.

Explore authors with similar magnitude of impact