Nannan Qian

527 total citations
17 papers, 390 citations indexed

About

Nannan Qian is a scholar working on Molecular Biology, Nutrition and Dietetics and Cell Biology. According to data from OpenAlex, Nannan Qian has authored 17 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Nutrition and Dietetics and 4 papers in Cell Biology. Recurrent topics in Nannan Qian's work include Trace Elements in Health (5 papers), Hair Growth and Disorders (2 papers) and Mitochondrial Function and Pathology (2 papers). Nannan Qian is often cited by papers focused on Trace Elements in Health (5 papers), Hair Growth and Disorders (2 papers) and Mitochondrial Function and Pathology (2 papers). Nannan Qian collaborates with scholars based in China, United States and Germany. Nannan Qian's co-authors include Zhiwei Lü, Junlin Teng, Pengli Zheng, Jianguo Chen, Qingzhou Chen, Fengchao Wang, Junjie Hu, Ting Chen, Wenbo Wu and Desheng Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Cell stem cell.

In The Last Decade

Nannan Qian

17 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nannan Qian China 8 211 123 56 48 45 17 390
Jotaro Nakanishi Japan 12 192 0.9× 140 1.1× 82 1.5× 25 0.5× 24 0.5× 19 515
A Sarasin France 11 430 2.0× 98 0.8× 33 0.6× 68 1.4× 36 0.8× 21 576
Monee K. Shamsher United Kingdom 9 285 1.4× 152 1.2× 37 0.7× 71 1.5× 22 0.5× 10 405
York Kamenisch Germany 15 435 2.1× 119 1.0× 115 2.1× 84 1.8× 83 1.8× 21 765
Aaron J. Thomas United States 8 255 1.2× 191 1.6× 17 0.3× 40 0.8× 10 0.2× 11 542
Ankit Dahal United States 7 128 0.6× 94 0.8× 12 0.2× 55 1.1× 32 0.7× 9 334
James T. Mahan United States 14 315 1.5× 306 2.5× 26 0.5× 37 0.8× 36 0.8× 26 796
Aaron J. Huebner United States 16 684 3.2× 111 0.9× 27 0.5× 108 2.3× 27 0.6× 21 894
Yahav Yosefzon Israel 14 415 2.0× 89 0.7× 48 0.9× 57 1.2× 34 0.8× 19 576
Kaiju Jiang China 5 137 0.6× 169 1.4× 114 2.0× 21 0.4× 8 0.2× 7 375

Countries citing papers authored by Nannan Qian

Since Specialization
Citations

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

Fields of papers citing papers by Nannan Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nannan Qian

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

All Works

17 of 17 papers shown
1.
Yang, Yue, Ting Cheng, Lulu Tang, et al.. (2023). Identification of lncRNA-miRNA-mRNA Networks in the Lenticular Nucleus Region of the Brain Contributes to Hepatolenticular Degeneration Pathogenesis and Therapy. Molecular Neurobiology. 61(3). 1673–1686. 5 indexed citations
2.
Duan, Jiang‐Jie, Nannan Qian, Rui Zhang, et al.. (2023). Repeated intra-articular injections of umbilical cord-derived mesenchymal stem cells for knee osteoarthritis: a phase I, single-arm study. BMC Musculoskeletal Disorders. 24(1). 488–488. 9 indexed citations
3.
Zhang, Shijie, et al.. (2022). Case Report: Identification of a De novo C19orf12 Variant in a Patient With Mitochondrial Membrane Protein–Associated Neurodegeneration. Frontiers in Genetics. 13. 852374–852374. 2 indexed citations
4.
Yang, Wenming, Sheng Hu, Hailin Jiang, et al.. (2022). Dysfunction of the Lenticular Nucleus Is Associated with Dystonia in Wilson’s Disease. Brain Sciences. 13(1). 7–7. 4 indexed citations
5.
Qian, Nannan, Jiuxiang Wang, Shijie Zhang, et al.. (2022). Case Report: Late-Onset Autosomal Recessive Cerebellar Ataxia Associated With SYNE1 Mutation in a Chinese Family. Frontiers in Genetics. 13. 795188–795188. 5 indexed citations
6.
Yang, Yue, et al.. (2022). Role of serum ceruloplasmin in the diagnosis of Wilson's disease: A large Chinese study. Frontiers in Neurology. 13. 1058642–1058642. 6 indexed citations
7.
Qian, Nannan, Yue Yang, Jie Liu, et al.. (2022). Construction of a Novel circRNA/miRNA/mRNA Regulatory Network to Explore the Potential Pathogenesis of Wilson’s Disease. Frontiers in Pharmacology. 13. 905513–905513. 5 indexed citations
8.
Wang, Jiuxiang, Lulu Tang, Anqi Xu, et al.. (2021). Identification of mutations in the ATP7B gene in 14 Wilson disease children. Medicine. 100(16). e25463–e25463. 4 indexed citations
9.
Yang, Wenming, Yue Yang, Ting Cheng, et al.. (2021). Effects of High-Frequency Repetitive Transcranial Magnetic Stimulation on Upper Limb Dystonia in Patients With Wilson's Disease: A Randomized Controlled Trial. Frontiers in Neurology. 12. 783365–783365. 8 indexed citations
10.
Tang, Lulu, Huan Wu, Shi Huang, et al.. (2021). Comprehensive RNA-Seq Analysis of Potential Therapeutic Targets of Gan–Dou–Fu–Mu Decoction for Treatment of Wilson Disease Using a Toxic Milk Mouse Model. Frontiers in Pharmacology. 12. 622268–622268. 7 indexed citations
11.
Chen, Daoming, Kaiju Jiang, Lifang Song, et al.. (2021). Hair shaft miniaturization causes stem cell depletion through mechanosensory signals mediated by a Piezo1-calcium-TNF-α axis. Cell stem cell. 29(1). 70–85.e6. 57 indexed citations
12.
Li, Fēi, Zhiwei Lü, Wenbo Wu, et al.. (2019). Optogenetic gene editing in regional skin. Cell Research. 29(10). 862–865. 9 indexed citations
13.
Zheng, Pengli, Nannan Qian, Qingzhou Chen, et al.. (2019). Calumenin-1 Interacts with Climp63 to Cooperatively Determine the Luminal Width and Distribution of Endoplasmic Reticulum Sheets. iScience. 22. 70–80. 22 indexed citations
14.
Zhou, Yu, Kaiju Jiang, Zijian Xu, et al.. (2018). Hoxc-Dependent Mesenchymal Niche Heterogeneity Drives Regional Hair Follicle Regeneration. Cell stem cell. 23(4). 487–500.e6. 54 indexed citations
15.
Zheng, Pengli, Qingzhou Chen, Xiaoyu Tian, et al.. (2018). DNA damage triggers tubular endoplasmic reticulum extension to promote apoptosis by facilitating ER-mitochondria signaling. Cell Research. 28(8). 833–854. 104 indexed citations
16.
Wu, Wenbo, Zhiwei Lü, Fei Li, et al.. (2017). Efficient in vivo gene editing using ribonucleoproteins in skin stem cells of recessive dystrophic epidermolysis bullosa mouse model. Proceedings of the National Academy of Sciences. 114(7). 1660–1665. 85 indexed citations
17.
Qian, Nannan, Pengli Zheng, Yu Wang, et al.. (2016). Characterization of actin and tubulin promoters from two sap-sucking pests, Nilaparvata lugens (Stål) and Nephotettix cincticeps (Uhler). Biochemical and Biophysical Research Communications. 470(4). 831–837. 4 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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