Fu Qiu

424 total citations
13 papers, 366 citations indexed

About

Fu Qiu is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Fu Qiu has authored 13 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Fu Qiu's work include Immune Response and Inflammation (7 papers), Immunotherapy and Immune Responses (5 papers) and RNA Interference and Gene Delivery (3 papers). Fu Qiu is often cited by papers focused on Immune Response and Inflammation (7 papers), Immunotherapy and Immune Responses (5 papers) and RNA Interference and Gene Delivery (3 papers). Fu Qiu collaborates with scholars based in United States, China and Taiwan. Fu Qiu's co-authors include Zhengrong Cui, Andrei E. Medvedev, Yanbao Xiong, Wenji Piao, Larry M. Wahl, Chang Song, Michael Murphy, Andrei I. Chapoval, Marco Quevedo-Díaz and Tissa T. Manavalan and has published in prestigious journals such as Journal of Biological Chemistry, Pharmaceutical Research and Journal of Leukocyte Biology.

In The Last Decade

Fu Qiu

13 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Qiu United States 11 239 109 76 56 54 13 366
Tyralee Goo United States 7 199 0.8× 108 1.0× 91 1.2× 49 0.9× 49 0.9× 8 379
Julian M. Stark Sweden 9 362 1.5× 137 1.3× 69 0.9× 40 0.7× 53 1.0× 13 574
Anders Eivind Myhre Norway 9 111 0.5× 109 1.0× 90 1.2× 33 0.6× 72 1.3× 18 322
Fabian Linden Germany 11 201 0.8× 157 1.4× 52 0.7× 31 0.6× 28 0.5× 16 414
Gaetana Pezzino Italy 13 227 0.9× 81 0.7× 36 0.5× 33 0.6× 120 2.2× 22 442
Marit Bugge Norway 5 161 0.7× 110 1.0× 24 0.3× 35 0.6× 28 0.5× 7 284
Michael Ditiatkovski Australia 11 160 0.7× 199 1.8× 128 1.7× 47 0.8× 39 0.7× 14 476
Heather Evans‐Marin United States 8 229 1.0× 232 2.1× 41 0.5× 80 1.4× 40 0.7× 11 509

Countries citing papers authored by Fu Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Fu Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu Qiu

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

All Works

13 of 13 papers shown
1.
Murphy, Michael, et al.. (2015). Pellino-1 Positively Regulates Toll-like Receptor (TLR) 2 and TLR4 Signaling and Is Suppressed upon Induction of Endotoxin Tolerance. Journal of Biological Chemistry. 290(31). 19218–19232. 37 indexed citations
2.
Xiong, Yanbao, Michael Murphy, Tissa T. Manavalan, et al.. (2015). Endotoxin Tolerance Inhibits Lyn and c-Src Phosphorylation and Association with Toll-Like Receptor 4 but Increases Expression and Activity of Protein Phosphatases. Journal of Innate Immunity. 8(2). 171–184. 15 indexed citations
3.
Murphy, Michael, et al.. (2015). Pellino-3 promotes endotoxin tolerance and acts as a negative regulator of TLR2 and TLR4 signaling. Journal of Leukocyte Biology. 98(6). 963–974. 24 indexed citations
4.
Huang, Yukun, Zhi Zheng, & Fu Qiu. (2013). Polyinosinic-cytidylic acid as an adjuvant on natural killer- and dendritic cell-mediated antitumor activities. Tumor Biology. 34(3). 1615–1623. 6 indexed citations
5.
Huang, Yukun, et al.. (2012). The antitumor effect of the Toll-like receptor 3 ligand polyinosinic-cytidylic acid as an adjuvant. Cancer Immunology Immunotherapy. 62(2). 237–244. 7 indexed citations
6.
Qiu, Fu, et al.. (2012). Protective effect of low-molecular-weight heparin on pancreatic encephalopathy in severe acute pancreatic rats. Inflammation Research. 61(11). 1203–1209. 11 indexed citations
10.
Qiu, Fu, et al.. (2007). Effect of low molecular weight heparin on pancreatic microcirculation in severe acute pancreatitis in a rodent model. Chinese Medical Journal. 120(24). 2260–2263. 27 indexed citations
11.
Cui, Zhengrong & Fu Qiu. (2007). CD4+ T Helper Cell Response is Required for Memory in CD8+ T Lymphocytes Induced by a Poly(I:C)-adjuvanted MHC I-restricted Peptide Epitope. Journal of Immunotherapy. 30(2). 180–189. 14 indexed citations
12.
Cui, Zhengrong, et al.. (2007). Learning from Viruses: The Necrotic Bodies of Tumor Cells with Intracellular Synthetic dsRNA Induced Strong Anti-tumor Immune Responses. Pharmaceutical Research. 24(9). 1645–1652. 10 indexed citations
13.
Cui, Zhengrong & Fu Qiu. (2005). Synthetic double-stranded RNA poly(I:C) as a potent peptide vaccine adjuvant: therapeutic activity against human cervical cancer in a rodent model. Cancer Immunology Immunotherapy. 55(10). 1267–1279. 66 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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