Ke‐Fu Wu

739 total citations
44 papers, 568 citations indexed

About

Ke‐Fu Wu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ke‐Fu Wu has authored 44 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Immunology and 6 papers in Oncology. Recurrent topics in Ke‐Fu Wu's work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (8 papers) and RNA Interference and Gene Delivery (7 papers). Ke‐Fu Wu is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (8 papers) and RNA Interference and Gene Delivery (7 papers). Ke‐Fu Wu collaborates with scholars based in China, United States and Australia. Ke‐Fu Wu's co-authors include Guoguang Zheng, Qing Rao, Xiaotong Ma, Yong‐Min Lin, Xiujun Zhang, Yuhua Song, Ge Li, Lili An, Kun Nie and Shiyong Liu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Ke‐Fu Wu

44 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke‐Fu Wu China 16 210 195 165 85 59 44 568
Thierry Juhel France 8 147 0.7× 89 0.5× 125 0.8× 10 0.1× 39 0.7× 13 399
Caroline Schönfeld Germany 11 214 1.0× 85 0.4× 165 1.0× 7 0.1× 107 1.8× 14 584
Fumie Hayashi Japan 10 197 0.9× 213 1.1× 12 0.1× 22 0.3× 44 0.7× 24 674
Andrea J. Richardson Australia 22 297 1.4× 136 0.7× 47 0.3× 5 0.1× 177 3.0× 43 1.2k
Tobias Schäfer Germany 13 439 2.1× 75 0.4× 36 0.2× 4 0.0× 44 0.7× 15 685
Sung‐Kyun Moon South Korea 10 148 0.7× 55 0.3× 6 0.0× 26 0.3× 23 0.4× 19 476
Buvana Ravishankar United States 9 211 1.0× 518 2.7× 17 0.1× 5 0.1× 44 0.7× 12 755
Calum Thomson United Kingdom 11 401 1.9× 27 0.1× 30 0.2× 18 0.2× 288 4.9× 25 818
Ainara Elorza Spain 11 503 2.4× 108 0.6× 21 0.1× 5 0.1× 77 1.3× 24 860
Jeanene Pihkala United States 8 164 0.8× 423 2.2× 11 0.1× 5 0.1× 37 0.6× 8 764

Countries citing papers authored by Ke‐Fu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ke‐Fu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke‐Fu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ke‐Fu Wu. A scholar is included among the top collaborators of Ke‐Fu Wu 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 Ke‐Fu Wu. Ke‐Fu Wu 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.
Fu, Haiqiang, et al.. (2024). Automatic Correction of Time-Varying Orbit Errors for Single-Baseline Single-Polarization InSAR Data Based on Block Adjustment Model. Remote Sensing. 16(19). 3578–3578. 2 indexed citations
2.
Wu, Ke‐Fu, et al.. (2024). InSAR-DEM Block Adjustment Model for Upcoming BIOMASS Mission: Considering Atmospheric Effects. Remote Sensing. 16(10). 1764–1764. 4 indexed citations
3.
Shen, Kai‐Feng, Zhifeng Wu, Ke‐Fu Wu, et al.. (2022). Fibroblast growth factor 13 is involved in the pathogenesis of temporal lobe epilepsy. Cerebral Cortex. 32(23). 5259–5272. 7 indexed citations
4.
He, Jiaojiang, Yujia Wei, Kai‐Feng Shen, et al.. (2020). Decreased expression of Rev-Erbα in the epileptic foci of temporal lobe epilepsy and activation of Rev-Erbα have anti-inflammatory and neuroprotective effects in the pilocarpine model. Journal of Neuroinflammation. 17(1). 43–43. 34 indexed citations
5.
Wu, Taixiang, Ling Zou, Huan He, & Ke‐Fu Wu. (2015). Prevention of Radix Rehmanniae Preparata on Glucocorticoid-Induced Osteoporosis in Rats. SHILAP Revista de lepidopterología. 2 indexed citations
6.
He, Jiaojiang, Ke‐Fu Wu, Song Li, et al.. (2013). Expression of the interleukin 17 in cortical tubers of the tuberous sclerosis complex. Journal of Neuroimmunology. 262(1-2). 85–91. 15 indexed citations
7.
Shu, Haifeng, Sixun Yu, Chunqing Zhang, et al.. (2012). Expression of TRPV1 in cortical lesions from patients with tuberous sclerosis complex and focal cortical dysplasia type IIb. Brain and Development. 35(3). 252–260. 16 indexed citations
8.
Zheng, Guoguang, Yuanyuan Ma, Haiyan Zhang, et al.. (2010). The Hyposensitive N187D P2X7 Mutant Promotes Malignant Progression in Nude Mice. Journal of Biological Chemistry. 285(46). 36179–36187. 26 indexed citations
9.
Zheng, Guoguang, Xiaofan Zhu, Ye Guo, et al.. (2009). Abnormal expression of P2X family receptors in Chinese pediatric acute leukemias. Biochemical and Biophysical Research Communications. 391(1). 498–504. 49 indexed citations
10.
Nie, Kun, Guoguang Zheng, Xiujun Zhang, et al.. (2005). CD39-associated high ATPase activity contribute to the loss of P2X7-mediated calcium response in LCL cells. Leukemia Research. 29(11). 1325–1333. 5 indexed citations
11.
An, Lili, et al.. (2005). Marked Reduction of LL-37/hCAP-18, an Antimicrobial Peptide, in Patients with Acute Myeloid Leukemia. International Journal of Hematology. 81(1). 45–47. 21 indexed citations
12.
An, Lili, Xiaotong Ma, Yong‐Min Lin, et al.. (2005). LL-37 enhances adaptive antitumor immune response in a murine model when genetically fused with M-CSFRJ6-1 DNA vaccine. Leukemia Research. 29(5). 535–543. 26 indexed citations
13.
Wang, Minhui, Guoguang Zheng, Ke‐Fu Wu, et al.. (2002). Co-immunization with M-CSFR and mM-CSF DNA vaccines is better than M-CSFR-mM-CSF fusion DNA vaccine.. PubMed. 87(10). 1087–94. 4 indexed citations
14.
Song, Yuhua, Yong‐Min Lin, Ke‐Fu Wu, et al.. (2001). Immunohistochemical observation of macrophage colony stimulating factor and its receptor in breast cancer and hepatoma tissues. Chinese Journal of Cancer Research. 13(1). 1–4. 3 indexed citations
15.
Rao, Qing, et al.. (2001). Determination of serum soluble macrophage colony-stimulating factor receptor levels in patients with hematological diseases. Chinese Journal of Cancer Research. 13(3). 185–189. 2 indexed citations
16.
Luo, Shouqing, et al.. (1999). Expression of rhM CSFsR in E.coli and the Binding Activity for Its Ligand. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 15(5). 709–713. 1 indexed citations
17.
Yang, Wenqing, et al.. (1999). Co-expression of macrophage colony-stimulating factor with its receptor in human hepatoma cells and its potential roles. Chinese Journal of Cancer Research. 11(2). 79–84. 4 indexed citations
18.
Zheng, Guoguang, et al.. (1999). Expression of Membrane-Associated Macrophage Colony-Stimulating Factor (M-CSF) in Hodgkin's Disease and Other Hematologic Malignancies. Leukemia & lymphoma. 32(3-4). 339–344. 15 indexed citations
19.
20.
Wu, Ke‐Fu, Qing Rao, Guoguang Zheng, et al.. (1994). Enhancement of J6-1 human leukemic cell proliferation by cell—Cell contact: Role of an M-CSF-like membrane-associated growth factor MAF-J6-1. Leukemia Research. 18(11). 843–849. 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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