Haiping Que

404 total citations
24 papers, 323 citations indexed

About

Haiping Que is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Haiping Que has authored 24 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Haiping Que's work include Nerve injury and regeneration (6 papers), Signaling Pathways in Disease (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Haiping Que is often cited by papers focused on Nerve injury and regeneration (6 papers), Signaling Pathways in Disease (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Haiping Que collaborates with scholars based in China, Russia and United States. Haiping Que's co-authors include Shuguang Yang, Shaojun Liu, Qinxue Ding, Shaoxiang Xiong, Shaojun Liu, Shaojun Liu, Yanhong Ma, Lin Xiao, Shuqian Jing and Handong Wei and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Haiping Que

23 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiping Que China 12 181 83 61 36 33 24 323
Claire Didszun Germany 5 201 1.1× 104 1.3× 70 1.1× 26 0.7× 14 0.4× 6 306
Martin Billger Sweden 12 245 1.4× 91 1.1× 179 2.9× 19 0.5× 13 0.4× 22 449
Daniela Salas Chile 11 253 1.4× 66 0.8× 116 1.9× 29 0.8× 15 0.5× 17 384
Nicola Vajente Italy 9 87 0.5× 61 0.7× 23 0.4× 13 0.4× 26 0.8× 14 340
Kazuaki Takafuji Japan 9 276 1.5× 39 0.5× 31 0.5× 17 0.5× 17 0.5× 12 405
Franziska Rudolph Germany 8 218 1.2× 40 0.5× 89 1.5× 40 1.1× 9 0.3× 12 319
Radha Desai United States 12 386 2.1× 91 1.1× 82 1.3× 33 0.9× 36 1.1× 14 545
Kevin A. Glenn United States 10 280 1.5× 72 0.9× 74 1.2× 49 1.4× 7 0.2× 18 458
Henry B. Skinner United States 9 207 1.1× 28 0.3× 66 1.1× 22 0.6× 20 0.6× 12 378
Sindhu Saraswathy United States 16 260 1.4× 23 0.3× 82 1.3× 27 0.8× 25 0.8× 36 666

Countries citing papers authored by Haiping Que

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Que

This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Que. A scholar is included among the top collaborators of Haiping Que 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 Haiping Que. Haiping Que 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, Yang, Quan Li, Jian Hua, et al.. (2025). Causal relationship between gut microbiota and dental caries: a two-sample mendelian randomization study. BDJ Open. 11(1). 35–35.
2.
Dai, Zhenhua, Zhiqiang Liu, Xiqin Yang, et al.. (2017). A multiple-antigen detection assay for tuberculosis diagnosis based on broadly reactive polyclonal antibodies.. SHILAP Revista de lepidopterología. 20(4). 360–367. 14 indexed citations
3.
Liu, Yong, et al.. (2016). Identification of Novel SCIRR69-Interacting Proteins During ER Stress Using SILAC-Immunoprecipitation Quantitative Proteomics Approach. NeuroMolecular Medicine. 19(1). 81–93. 4 indexed citations
4.
Duan, Cuimi, Xiqin Yang, Xuhui Zhang, et al.. (2015). Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry. Scientific Reports. 5(1). 13073–13073. 3 indexed citations
5.
6.
Que, Haiping, Haiyan Huang, Yong Liu, et al.. (2012). Cloning and characterization of SCIRR69: a novel transcriptional factor belonging to the CREB/ATF family. Molecular Biology Reports. 39(7). 7665–7672. 5 indexed citations
7.
Yang, Shuguang, et al.. (2012). Elevated serum haptoglobin after traumatic brain injury is synthesized mainly in liver. Journal of Neuroscience Research. 91(2). 230–239. 14 indexed citations
8.
Liu, Yong, Shuguang Yang, Jingwen Yang, Haiping Que, & Shaojun Liu. (2012). Relative Expression of Type II MAGE Genes During Retinoic Acid-Induced Neural Differentiation of Mouse Embryonic Carcinoma P19 Cells: A Comparative Real-Time PCR Analysis. Cellular and Molecular Neurobiology. 32(6). 1059–1068. 6 indexed citations
9.
Yang, Shuguang, et al.. (2012). Arachidonic Acid: A Bridge between Traumatic Brain Injury and Fracture Healing. Journal of Neurotrauma. 29(17). 2696–2705. 29 indexed citations
10.
Que, Haiping, et al.. (2011). Establishment and assessment of a simple and easily reproducible incision model of spinal cord neuron cells in vitro. In Vitro Cellular & Developmental Biology - Animal. 47(8). 558–564. 15 indexed citations
11.
12.
Yan, Xiaodong, Tao Liu, Shuguang Yang, et al.. (2009). Proteomic Profiling of the Insoluble Pellets of the Transected Rat Spinal Cord. Journal of Neurotrauma. 26(2). 179–193. 12 indexed citations
13.
Li, Shengqing, Haowen Qi, Changgui Wu, et al.. (2007). Comparative proteomic study of acute pulmonary embolism in a rat model. PROTEOMICS. 7(13). 2287–2299. 8 indexed citations
14.
Liu, Tao, et al.. (2007). Identification and characterization of scirr1, a novel gene up-regulated after spinal cord injury. Experimental & Molecular Medicine. 39(3). 255–266. 2 indexed citations
15.
Liu, Tao, Xin Li, Tao Zhou, et al.. (2006). Identification of Up-Regulated Genes After Complete Spinal Cord Transection in Adult Rats. Cellular and Molecular Neurobiology. 26(3). 277–288. 9 indexed citations
16.
Zhou, Tao, et al.. (2006). Neurons derived from PC12 cells have the potential to develop synapses with primary neurons from rat cortex. Acta Neurobiologiae Experimentalis. 66(2). 105–112. 22 indexed citations
17.
Li, Shengqing, Jun Yun, Shuguang Yang, et al.. (2006). Comparative Proteome Analysis of Serum from Acute Pulmonary Embolism Rat Model for Biomarker Discovery. Journal of Proteome Research. 6(1). 150–159. 11 indexed citations
18.
Ding, Qinxue, et al.. (2003). Unmatched masses in peptide mass fingerprints caused by cross‐contamination: An updated statistical result. PROTEOMICS. 3(7). 1313–1317. 34 indexed citations
19.
Qu, Xianghu, Handong Wei, Yun Zhai, et al.. (2002). Identification, Characterization, and Functional Study of the Two Novel Human Members of the Semaphorin Gene Family. Journal of Biological Chemistry. 277(38). 35574–35585. 61 indexed citations
20.
Que, Haiping, Ximing Guo, Feng Zhang, & Standish K. Allen. (1997). Chromosome Segregation in Fertilized Eggs From Triploid Pacific Oysters, Crassostrea gigas (Thunberg), Following Inhibition of Polar Body 1. Biological Bulletin. 193(1). 14–19. 12 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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