Kai Fu

11.8k total citations · 1 hit paper
152 papers, 3.8k citations indexed

About

Kai Fu is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Kai Fu has authored 152 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Pathology and Forensic Medicine, 53 papers in Oncology and 43 papers in Genetics. Recurrent topics in Kai Fu's work include Lymphoma Diagnosis and Treatment (75 papers), Chronic Lymphocytic Leukemia Research (39 papers) and Viral-associated cancers and disorders (24 papers). Kai Fu is often cited by papers focused on Lymphoma Diagnosis and Treatment (75 papers), Chronic Lymphocytic Leukemia Research (39 papers) and Viral-associated cancers and disorders (24 papers). Kai Fu collaborates with scholars based in United States, China and Canada. Kai Fu's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Kai Fu

142 papers receiving 3.8k citations

Hit Papers

Therapeutic strategies for EGFR-mutated non-small cell lu... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Fu United States 31 1.9k 1.4k 1.1k 866 520 152 3.8k
George Z. Rassidakis United States 43 1.9k 1.0× 2.4k 1.7× 2.4k 2.2× 678 0.8× 542 1.0× 140 5.2k
Zijun Y. Xu‐Monette United States 27 1.3k 0.7× 1.5k 1.0× 857 0.8× 649 0.7× 202 0.4× 66 2.8k
Betsy LaPlant United States 35 2.1k 1.1× 1.9k 1.3× 1.4k 1.3× 1.8k 2.1× 401 0.8× 157 4.6k
Ayad Al‐Katib United States 33 1.1k 0.6× 1.1k 0.8× 1.6k 1.5× 1.2k 1.4× 180 0.3× 123 3.7k
Seung‐Sook Lee South Korea 32 947 0.5× 1.1k 0.7× 641 0.6× 240 0.3× 444 0.9× 142 2.8k
Sven de Vos United States 41 3.9k 2.1× 3.6k 2.5× 2.1k 1.9× 2.6k 3.0× 573 1.1× 192 7.6k
P. Maslak United States 32 658 0.3× 3.1k 2.1× 2.8k 2.6× 683 0.8× 575 1.1× 116 6.3k
Lynne V. Abruzzo United States 45 2.6k 1.4× 3.2k 2.3× 2.2k 2.0× 2.6k 3.0× 691 1.3× 185 8.0k
Rod Humerickhouse United States 37 2.1k 1.1× 2.1k 1.5× 3.7k 3.4× 3.1k 3.6× 1.1k 2.0× 107 8.1k
Lynn C. Moscinski United States 31 785 0.4× 2.0k 1.4× 2.8k 2.5× 642 0.7× 255 0.5× 129 5.1k

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 of co-authors of Kai Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Fu. A scholar is included among the top collaborators of Kai Fu 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 Kai Fu. Kai Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
3.
Yao, Xia, Lisheng Zhang, Xueyan Zhang, et al.. (2024). Design optimization of bimetal-modified biochar for enhanced phosphate removal performance in livestock wastewater using machine learning. Bioresource Technology. 418. 131898–131898. 12 indexed citations
5.
Fu, Kai, et al.. (2024). Production and stability of cultured red blood cells depends on the concentration of cholesterol in culture medium. Scientific Reports. 14(1). 15592–15592. 5 indexed citations
6.
Baron, Jeffrey, et al.. (2023). Concomitant Venetoclax and Imatinib for Comanaging Chronic Lymphocytic Leukemia and Chronic Myeloid Leukemia: A Case Report. Journal of the National Comprehensive Cancer Network. 21(2). 102–107. 2 indexed citations
7.
Tario, Joseph D., et al.. (2023). Multiparameter flow cytometry and ClonoSEQ correlation to evaluate precursor B-lymphoblastic leukemia measurable residual disease. Journal of Hematopathology. 16(2). 85–94. 2 indexed citations
8.
Wang, Xianhuo, Yue Fei, Lanfang Li, et al.. (2021). Biological and Clinical Significance of PIM1 Genetic Alterations in Diffuse Large B-Cell Lymphoma. Blood. 138(Supplement 1). 3494–3494. 1 indexed citations
9.
Zhang, Xuan, Chengfeng Bi, Weiwei Zhang, et al.. (2019). Targeting translation initiation by synthetic rocaglates for treating MYC-driven lymphomas. Leukemia. 34(1). 138–150. 24 indexed citations
10.
Wang, Xianhuo, Tingting Zhang, Zheng Song, et al.. (2019). Tumor CD73/A2aR adenosine immunosuppressive axis and tumor‐infiltrating lymphocytes in diffuse large B‐cell lymphoma: correlations with clinicopathological characteristics and clinical outcome. International Journal of Cancer. 145(5). 1414–1422. 27 indexed citations
11.
Ji, Yuan, Deborah Perry, Kai Fu, et al.. (2017). Flow cytometric characteristics of extrathymic thymocytes in adenoid tissue: A case report and comparison to normal thymus and thymoma. Cytometry Part B Clinical Cytometry. 1 indexed citations
12.
Gardet, Agnès, Wei‐Chun Chou, Taylor L. Reynolds, et al.. (2016). Pristane-Accelerated Autoimmune Disease in (SWR X NZB) F1 Mice Leads to Prominent Tubulointerstitial Inflammation and Human Lupus Nephritis-Like Fibrosis. PLoS ONE. 11(10). e0164423–e0164423. 8 indexed citations
13.
Huang, Haishan, Xiaofu Pan, Honglei Jin, et al.. (2015). PHLPP2 Downregulation Contributes to Lung Carcinogenesis Following B[a]P/B[a]PDE Exposure. Clinical Cancer Research. 21(16). 3783–3793. 54 indexed citations
14.
Guo, Shuangping, John K. C. Chan, Javeed Iqbal, et al.. (2014). EZH2 Mutations in Follicular Lymphoma from Different Ethnic Groups and Associated Gene Expression Alterations. Clinical Cancer Research. 20(12). 3078–3086. 30 indexed citations
15.
Bhagavathi, Sharathkumar & Kai Fu. (2014). Primary lymphoma of bone: A review. Seminars in Diagnostic Pathology. 31(1). 48–52. 14 indexed citations
16.
Zeng, Weifen, Kai Fu, Leticia Quintanilla-Martı́nez, et al.. (2012). Cyclin D1-negative Blastoid Mantle Cell Lymphoma Identified by SOX11 Expression. The American Journal of Surgical Pathology. 36(2). 214–219. 46 indexed citations
17.
Ai, Weiyun Z., Ellen T. Chang, Kari Fish, et al.. (2011). Racial patterns of extranodal natural killer/T‐cell lymphoma, nasal type, in California: a population‐based study. British Journal of Haematology. 156(5). 626–632. 29 indexed citations
18.
Chen, Yan, et al.. (2010). [Prevalence of germinal center B-cell-like and non-germinal center B-cell-like types of diffuse large B-cell lymphoma in Shanghai, China].. PubMed. 39(5). 313–8. 6 indexed citations
19.
d’Amore, Francesco, Eric Y. Chan, Javeed Iqbal, et al.. (2008). Clonal Evolution in t(14;18)-Positive Follicular Lymphoma, Evidence for Multiple Common Pathways, and Frequent Parallel Clonal Evolution. Clinical Cancer Research. 14(22). 7180–7187. 27 indexed citations
20.
Jaye, David L., Javeed Iqbal, Naoyuki Fujita, et al.. (2007). The BCL6‐associated transcriptional co‐repressor, MTA3, is selectively expressed by germinal centre B cells and lymphomas of putative germinal centre derivation. The Journal of Pathology. 213(1). 106–115. 22 indexed citations

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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