Xiaolan Fu

1.2k total citations
43 papers, 947 citations indexed

About

Xiaolan Fu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Xiaolan Fu has authored 43 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 14 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Xiaolan Fu's work include Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (9 papers). Xiaolan Fu is often cited by papers focused on Immunotherapy and Immune Responses (17 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (9 papers). Xiaolan Fu collaborates with scholars based in China, United States and Czechia. Xiaolan Fu's co-authors include Yuzhang Wu, Jinjun Zhang, Liyun Zou, Jinyu Zhang, Ying Wan, Jingyi Li, Jingbo Zhang, Yongfei Fang, Bing Ni and Liwei Lu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Xiaolan Fu

41 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolan Fu China 17 434 361 219 200 156 43 947
Gianna Fiorucci Italy 22 522 1.2× 590 1.6× 243 1.1× 256 1.3× 189 1.2× 48 1.3k
Ken Sato Japan 14 433 1.0× 496 1.4× 112 0.5× 197 1.0× 131 0.8× 43 1.0k
Hwei-Fang Tsai Taiwan 17 411 0.9× 237 0.7× 88 0.4× 142 0.7× 193 1.2× 24 793
Anthony J. Scarzello United States 14 456 1.1× 264 0.7× 113 0.5× 296 1.5× 184 1.2× 16 886
Jürgen Siebler Germany 16 250 0.6× 304 0.8× 84 0.4× 380 1.9× 219 1.4× 60 1.1k
Tadayuki Kou Japan 14 291 0.7× 450 1.2× 394 1.8× 425 2.1× 223 1.4× 38 1.3k
Tomonori Hirotani Japan 6 599 1.4× 194 0.5× 181 0.8× 111 0.6× 112 0.7× 8 783
Hidenori Iwasaki Japan 9 868 2.0× 562 1.6× 189 0.9× 196 1.0× 160 1.0× 27 1.4k
Andrea Merlo Italy 21 1.1k 2.6× 506 1.4× 336 1.5× 354 1.8× 243 1.6× 41 1.9k
Maggie Cam United States 18 239 0.6× 395 1.1× 165 0.8× 287 1.4× 349 2.2× 37 1.1k

Countries citing papers authored by Xiaolan Fu

Since Specialization
Citations

This map shows the geographic impact of Xiaolan 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 Xiaolan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Fu more than expected).

Fields of papers citing papers by Xiaolan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolan 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 Xiaolan Fu. The network helps show where Xiaolan Fu may publish in the future.

Co-authorship network of co-authors of Xiaolan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolan Fu. A scholar is included among the top collaborators of Xiaolan 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 Xiaolan Fu. Xiaolan 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.
Wang, Shiyao, et al.. (2025). IL-34/TREM2 modulates microglia-mediated inflammation and provides neuroprotection in a mouse model of sporadic Alzheimer's disease. Journal of Alzheimer s Disease. 104(3). 875–885. 1 indexed citations
2.
Li, Yongchang, Shiyun Li, Imran Zafar, et al.. (2025). Rapid and sensitive detection of bovine Theileria annulata parasite based on ERA-CRISPR/Cas12a technology. Frontiers in Microbiology. 16. 1647929–1647929.
3.
Zhang, Yajuan, Yunfeng Ni, Xiaohui Jia, et al.. (2024). Construction of a nomogram model based on biomarkers for liver metastasis in non‐small cell lung cancer. Thoracic Cancer. 15(26). 1897–1911. 1 indexed citations
4.
Jia, Xiaohui, Panpan Jiang, Yajuan Zhang, et al.. (2022). Effect of Concomitant Use of Analgesics on Prognosis in Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis. Frontiers in Immunology. 13. 861723–861723. 20 indexed citations
5.
Tian, Yi, Chao Han, Hui Dong, et al.. (2021). SOX-5 activates a novel RORγt enhancer to facilitate experimental autoimmune encephalomyelitis by promoting Th17 cell differentiation. Nature Communications. 12(1). 481–481. 17 indexed citations
6.
Mou, Zhirong, Jun Chen, Yujun He, et al.. (2015). B7H1 Expression and Epithelial-To-Mesenchymal Transition Phenotypes on Colorectal Cancer Stem-Like Cells. PLoS ONE. 10(8). e0135528–e0135528. 60 indexed citations
7.
Yan, Zehui, et al.. (2014). Telbivudine decreases proportion of peripheral blood CD4+CD25+CD127low T cells in parallel with inhibiting hepatitis B virus DNA. Molecular Medicine Reports. 9(5). 2024–2030. 12 indexed citations
8.
Zhang, Mengjun, Tingting Zhao, Xiaolan Fu, et al.. (2012). Dissection of a Circulating and Intrahepatic CD4+Foxp3+ T-Cell Subpopulation in Chronic Hepatitis B Virus (HBV) Infection: A Highly Informative Strategy for Distinguishing Chronic HBV Infection States. The Journal of Infectious Diseases. 205(7). 1111–1120. 21 indexed citations
9.
Zhang, Jingbo, Zhengcai Jia, Zhihua Lin, et al.. (2012). Computational prediction and experimental assessment of an HLA-A*0201-restricted cytotoxic T lymphocyte epitope from neutral endopeptidase. Immunologic Research. 52(3). 231–239. 7 indexed citations
10.
Chen, Yongwen, Guoning Guo, Fei Lei, et al.. (2011). Programmed Death (PD)-1-Deficient Mice Are Extremely Sensitive to Murine Hepatitis Virus Strain-3 (MHV-3) Infection. PLoS Pathogens. 7(7). e1001347–e1001347. 40 indexed citations
12.
Yang, Chengying, Sheng Guo, Fei Lei, et al.. (2010). Stimulation of B7-H1 in Hepatocarcinoma Cells by Hepatitis B virus X Antigen. Immunological Investigations. 39(7). 754–769. 4 indexed citations
13.
Jia, Zhengcai, Bing Ni, Zemin Huang, et al.. (2010). Identification of Two Novel HLA‐A0201‐Restricted CTL Epitopes Derived from MAGE‐A4. Journal of Immunology Research. 2010(1). 567594–567594. 15 indexed citations
14.
Shang, Xiaoyun, Li Wang, Wei Niu, et al.. (2009). Rational optimization of tumor epitopes using in silico analysis‐assisted substitution of TCR contact residues. European Journal of Immunology. 39(8). 2248–2258. 8 indexed citations
15.
Yang, Di, Huiming Wang, Bing Ni, et al.. (2009). Mutual activation of CD4+ T cells and monocytes mediated by NKG2D–MIC interaction requires IFN-gamma production in systemic lupus erythematosus. Molecular Immunology. 46(7). 1432–1442. 20 indexed citations
16.
Fu, Xiaolan, et al.. (2009). Antigen-Specific Suppression by Induced CD4+CD25high Regulatory T Cells in Kidney Recipients. Transplantation Proceedings. 41(5). 1574–1576. 7 indexed citations
17.
Wang, Yiqin, Jianying Bai, Huiming Wang, et al.. (2009). Characteristics of Expanded CD4+CD28nullT Cells in Patients with Chronic Hepatitis B. Immunological Investigations. 38(5). 434–446. 16 indexed citations
18.
Liu, Zejun, Xing Gao, Yun Cai, et al.. (2009). Construction of a full-length iASPP expression plasmid pcDNA3.1(+)/iASPP and its biological activity. Plasmid. 62(1). 10–15. 5 indexed citations
19.
Jia, Zhengcai, Ren Zhao, Yi Tian, et al.. (2009). A Novel Splice Variant of FR4 Predominantly Expressed in CD4+CD25+Regulatory T Cells#. Immunological Investigations. 38(8). 718–729. 15 indexed citations
20.
Wang, Huiming, Zhihua Ruan, Yiqin Wang, et al.. (2007). MHC class I chain-related molecules induced on monocytes by IFN-γ promote NK cell activation. Molecular Immunology. 45(6). 1548–1556. 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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