Kai Fu

2.7k total citations
19 papers, 568 citations indexed

About

Kai Fu is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Kai Fu has authored 19 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Kai Fu's work include Lymphoma Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Kai Fu is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Kai Fu collaborates with scholars based in United States, China and South Africa. Kai Fu's co-authors include Yan Luan, Zhenhua Ren, Kaiting Yang, Zhida Liu, Ting Xu, Longchao Liu, Hua Peng, Jian Qiao, Chuanhui Han and Yang‐Xin Fu and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Cell and Scientific Reports.

In The Last Decade

Kai Fu

16 papers receiving 561 citations

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 9 253 236 169 89 56 19 568
Alexander H. Pearlman United States 5 138 0.5× 214 0.9× 223 1.3× 79 0.9× 72 1.3× 6 445
Haofan Jin China 13 361 1.4× 345 1.5× 176 1.0× 29 0.3× 62 1.1× 25 681
Christopher Taylor United States 3 206 0.8× 179 0.8× 156 0.9× 32 0.4× 58 1.0× 6 494
Massimiliano Petrini Italy 16 356 1.4× 294 1.2× 291 1.7× 43 0.5× 24 0.4× 41 619
Marco Bardelli Switzerland 11 469 1.9× 322 1.4× 282 1.7× 40 0.4× 29 0.5× 16 737
Heather L. Machado United States 14 282 1.1× 340 1.4× 249 1.5× 17 0.2× 94 1.7× 22 612
Noah Sorrelle United States 9 290 1.1× 210 0.9× 204 1.2× 29 0.3× 59 1.1× 12 592
Morgan E. Roberts Canada 12 225 0.9× 230 1.0× 162 1.0× 46 0.5× 77 1.4× 23 573

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

19 of 19 papers shown
1.
Zhu, Xinyu, et al.. (2025). A novel nomogram based on PET/CT to predict lymph nodal metastasis for lung adenocarcinoma with normal size lymph node. Journal of Cardiothoracic Surgery. 20(1). 202–202.
2.
Jia, Xinyu, et al.. (2024). Uniportal left middle lobectomy in a patient with situs inversus totalis: a case report. Journal of Cardiothoracic Surgery. 19(1). 534–534.
3.
Zhang, Xiao Yan, Xin Huang, Javeed Iqbal, et al.. (2024). MiR-17∼92 is involved in NF-κB activation via targeting the ubiquitin-editing proteins to mediate RIP1 complex polyubiquitinations in ABC-DLBCL. Clinical Immunology. 265. 110297–110297. 2 indexed citations
4.
Li, Yang, Chengfeng Bi, Lanfang Li, et al.. (2023). OX40 shapes an inflamed tumor immune microenvironment and predicts response to immunochemotherapy in diffuse large B-cell lymphoma. Clinical Immunology. 251. 109637–109637. 7 indexed citations
5.
Wang, Fang, Kai Fu, Xue‐Ping Wang, et al.. (2023). Small-molecule agents for cancer immunotherapy. Acta Pharmaceutica Sinica B. 14(3). 905–952. 29 indexed citations
6.
7.
Fu, Kai, Cheng Ding, Xinyu Zhu, et al.. (2023). NSCLC patients with a changing T grade after operation may represent a special subset of tumor staging. Journal of Cancer Research and Clinical Oncology. 149(12). 9991–9998.
8.
Hai-yan, Yang, et al.. (2022). Comprehensive evaluation of urban water supply security based on the VIKOR-TOPSIS method. Environmental Science and Pollution Research. 30(3). 8363–8375. 14 indexed citations
9.
Su, Mingru, Kai Fu, Xuan Liu, et al.. (2022). Performance improvement of silicon using Ni@C metal–organic frameworks as anode for lithium-ion batteries. Ionics. 28(9). 4169–4175. 2 indexed citations
10.
Nono, Justin Komguep, et al.. (2020). Investigating the antifibrotic effect of the antiparasitic drug Praziquantel in in vitro and in vivo preclinical models. Scientific Reports. 10(1). 10638–10638. 70 indexed citations
11.
Qiao, Jian, Zhida Liu, Chunbo Dong, et al.. (2019). Targeting Tumors with IL-10 Prevents Dendritic Cell-Mediated CD8+ T Cell Apoptosis. Cancer Cell. 35(6). 901–915.e4. 131 indexed citations
12.
Liu, Xiaojuan, Longchao Liu, Zhenhua Ren, et al.. (2018). Dual Targeting of Innate and Adaptive Checkpoints on Tumor Cells Limits Immune Evasion. Cell Reports. 24(8). 2101–2111. 107 indexed citations
13.
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. 94(2). 357–362. 1 indexed citations
14.
Rimsza, Lisa M., Yuri Fedoriw, Louis M. Staudt, et al.. (2016). General Biomarker Recommendations for Lymphoma. JNCI Journal of the National Cancer Institute. 108(12). djw250–djw250. 1 indexed citations
16.
Iqbal, Javeed, Joseph Rohr, Tayla B. Heavican, et al.. (2015). Genomic signatures in T-cell lymphoma: How can these improve precision in diagnosis and inform prognosis?. Blood Reviews. 30(2). 89–100. 65 indexed citations
17.
Bhatt, Vijaya Raj, R. Gregory Bociek, Kai Fu, et al.. (2015). Leukemic Diffuse Large B-Cell Lymphoma in a Patient With Myeloproliferative Disorder. Journal of the National Comprehensive Cancer Network. 13(3). 281–287. 8 indexed citations
18.
Jami, Mohammad‐Saeid, Jinxuan Hou, Miao Liu, et al.. (2014). Functional proteomic analysis reveals the involvement of KIAA1199 in breast cancer growth, motility and invasiveness. BMC Cancer. 14(1). 194–194. 62 indexed citations
19.
Huang, Xin, Lin Huang, Hong Peng, et al.. (2013). ISPTM: An Iterative Search Algorithm for Systematic Identification of Post-translational Modifications from Complex Proteome Mixtures. Journal of Proteome Research. 12(9). 3831–3842. 15 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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