Jin Qiu

3.3k total citations · 1 hit paper
59 papers, 2.6k citations indexed

About

Jin Qiu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Civil and Structural Engineering. According to data from OpenAlex, Jin Qiu has authored 59 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Civil and Structural Engineering. Recurrent topics in Jin Qiu's work include Nerve injury and regeneration (10 papers), Fire effects on concrete materials (8 papers) and Axon Guidance and Neuronal Signaling (6 papers). Jin Qiu is often cited by papers focused on Nerve injury and regeneration (10 papers), Fire effects on concrete materials (8 papers) and Axon Guidance and Neuronal Signaling (6 papers). Jin Qiu collaborates with scholars based in China, United States and Hong Kong. Jin Qiu's co-authors include Marie T. Filbin, Dongming Cai, Barbara S. Bregman, Marietta McAtee, Steve Thompson, Stephen B. McMahon, William B.J. Cafferty, Haining Dai, Paul N. Hoffman and Zixuan Cao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Jin Qiu

57 papers receiving 2.6k citations

Hit Papers

Spinal Axon Regeneration Induced by Elevation of Cyclic AMP 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Qiu China 21 1.5k 928 836 440 269 59 2.6k
Andrea Tedeschi United States 18 1.5k 1.1× 882 1.0× 965 1.2× 630 1.4× 72 0.3× 31 2.5k
Victoria Moreno‐Manzano Spain 29 747 0.5× 574 0.6× 1.4k 1.7× 521 1.2× 116 0.4× 104 3.1k
Francisco Javier Rodríguez Spain 27 1.7k 1.1× 519 0.6× 913 1.1× 312 0.7× 61 0.2× 56 3.1k
Stefania Raimondo Italy 35 2.2k 1.5× 532 0.6× 624 0.7× 543 1.2× 83 0.3× 115 4.0k
Henrich Cheng Taiwan 33 1.7k 1.1× 779 0.8× 886 1.1× 1.2k 2.7× 63 0.2× 100 3.7k
James B. Phillips United Kingdom 34 1.6k 1.1× 314 0.3× 714 0.9× 188 0.4× 97 0.4× 132 3.3k
Carola Meier Germany 30 1.1k 0.7× 455 0.5× 1.7k 2.1× 111 0.3× 156 0.6× 107 3.4k
Jianxue Li China 24 704 0.5× 904 1.0× 1.2k 1.4× 108 0.2× 236 0.9× 53 2.9k
Andrés Hurtado United States 21 1.2k 0.9× 567 0.6× 510 0.6× 684 1.6× 49 0.2× 29 2.2k
Haiwei Xu China 35 724 0.5× 529 0.6× 1.9k 2.3× 172 0.4× 102 0.4× 164 3.8k

Countries citing papers authored by Jin Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Qiu. A scholar is included among the top collaborators of Jin 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 Jin Qiu. Jin Qiu 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.
Qiu, Jin, et al.. (2025). Research on load design for large containership based on nonlinear springing analysis in frequency domain. Results in Engineering. 27. 106582–106582. 1 indexed citations
2.
Qiu, Jin, Liming Jiang, Chengyu Yang, et al.. (2024). Experimental investigation of precast composite slabs subjected to natural fires. Construction and Building Materials. 448. 138148–138148.
3.
Qiu, Jin & Liming Jiang. (2023). An integrated section model to enable simulating composite slabs in fire simply as modelling a flat slab. Computers & Structures. 289. 107180–107180. 3 indexed citations
4.
Qiu, Jin, et al.. (2023). Reconstruct the 3D load redistribution paths of framed structures subjected to local column failure and multi-floor fire. Structures. 58. 105668–105668. 1 indexed citations
5.
Qiu, Jin & Liming Jiang. (2023). Development of modular and reusable AI models for fast predicting fire behaviour of steel columns in structural systems. Engineering Structures. 297. 116994–116994. 8 indexed citations
6.
Qiu, Jin, et al.. (2022). Modelling concrete slabs subjected to localised fire action with OpenSees. Journal of Structural Fire Engineering. 14(1). 128–145. 2 indexed citations
7.
Jiang, Liming, et al.. (2022). OpenSeesdevelopment for modelling timber structural members subjected to realistic fire impact. Fire and Materials. 47(4). 461–478. 10 indexed citations
8.
Su, Mei, Dezhong Wang, Mu-xuan Wang, et al.. (2021). Discovery of 2H-chromone-4-one based sulfonamide derivatives as potent retinoic acid receptor-related orphan receptor γt inverse agonists. European Journal of Medicinal Chemistry. 229. 114065–114065. 6 indexed citations
9.
Su, Mei, Jin Qiu, Wei Wang, et al.. (2021). Discovery of Chromane-6-Sulfonamide Derivative as a Potent, Selective, and Orally Available Novel Retinoic Acid Receptor-Related Orphan Receptor γt Inverse Agonist. Journal of Medicinal Chemistry. 64(21). 16106–16131. 8 indexed citations
10.
11.
Chen, Tao, Jin Qiu, Kai Guo, et al.. (2017). Pharmacokinetics, Metabolism and Disposition of [14C]XQ-1H After Intravenous Administration to Male Rats. Drug Metabolism Letters. 10(4). 228–239. 3 indexed citations
12.
Xin, Minhang, Jun Wen, Han Shen, et al.. (2016). Synthesis and pharmacological evaluation of trifluoromethyl containing 4-(2-pyrimidinylamino)benzamides as Hedgehog signaling pathway inhibitors. Bioorganic & Medicinal Chemistry. 24(5). 1079–1088. 9 indexed citations
13.
Xin, Minhang, et al.. (2016). Discovery of novel 4-(2-pyrimidinylamino)benzamide derivatives as highly potent and orally available hedgehog signaling pathway inhibitors. European Journal of Medicinal Chemistry. 110. 115–125. 10 indexed citations
14.
Xin, Minhang, Wei Huang, Jin Qiu, et al.. (2015). Synthesis and biological evaluation of novel 7-substituted 3-(4-phenoxyphenyl)thieno[3,2-c]pyridin-4-amines as potent Bruton’s tyrosine kinase (BTK) inhibitors. Bioorganic & Medicinal Chemistry. 23(19). 6250–6257. 10 indexed citations
15.
Qiu, Jin, et al.. (2015). The Epstein-Barr Virus Encoded BART miRNAs Potentiate Tumor Growth In Vivo. PLoS Pathogens. 11(1). e1004561–e1004561. 65 indexed citations
16.
Huang, Wei, Yazhou Wang, Minhang Xin, et al.. (2015). Pyrrolo[2,3-b]pyridine derivatives as potent Bruton’s tyrosine kinase inhibitors. Bioorganic & Medicinal Chemistry. 23(15). 4344–4353. 17 indexed citations
17.
Qiu, Jin, et al.. (2012). Construction and identification of recombinant lentivirus vector of rat Cdh1 gene. 33(3). 182–185. 3 indexed citations
18.
Deng, Kangwen, et al.. (2009). Increased Synthesis of Spermidine as a Result of Upregulation of Arginase I Promotes Axonal Regeneration in Culture andIn Vivo. Journal of Neuroscience. 29(30). 9545–9552. 60 indexed citations
19.
Cao, Zixuan, Jin Qiu, Marco Domeniconi, et al.. (2007). The Inhibition Site on Myelin-Associated Glycoprotein Is within Ig-Domain 5 and Is Distinct from the Sialic Acid Binding Site. Journal of Neuroscience. 27(34). 9146–9154. 26 indexed citations
20.
Qiu, Jin, Dongming Cai, Haining Dai, et al.. (2002). Spinal Axon Regeneration Induced by Elevation of Cyclic AMP. Neuron. 34(6). 895–903. 529 indexed citations breakdown →

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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