Dajiang Qin

5.7k total citations
76 papers, 2.3k citations indexed

About

Dajiang Qin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Dajiang Qin has authored 76 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Surgery. Recurrent topics in Dajiang Qin's work include Pluripotent Stem Cells Research (28 papers), CRISPR and Genetic Engineering (21 papers) and Mitochondrial Function and Pathology (6 papers). Dajiang Qin is often cited by papers focused on Pluripotent Stem Cells Research (28 papers), CRISPR and Genetic Engineering (21 papers) and Mitochondrial Function and Pathology (6 papers). Dajiang Qin collaborates with scholars based in China, Macao and Hong Kong. Dajiang Qin's co-authors include Duanqing Pei, Huanxing Su, Jiekai Chen, Jinglei Cai, Miguel A. Esteban, Wen Li, Guangjin Pan, Jianyong Xu, Linli Wang and Mei Zhong and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Dajiang Qin

72 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dajiang Qin China 23 1.5k 403 230 211 208 76 2.3k
Christina A. Pacak United States 21 1.6k 1.1× 337 0.8× 651 2.8× 123 0.6× 313 1.5× 68 2.4k
Heming Wu China 27 1.1k 0.7× 189 0.5× 103 0.4× 249 1.2× 103 0.5× 133 2.4k
Shin Aizawa Japan 30 985 0.6× 522 1.3× 138 0.6× 219 1.0× 268 1.3× 164 2.7k
Eun Mi Hur United States 12 748 0.5× 288 0.7× 126 0.5× 82 0.4× 116 0.6× 13 2.4k
Yasuhiro Takeshima Japan 31 2.7k 1.7× 388 1.0× 496 2.2× 99 0.5× 299 1.4× 194 3.5k
Lan Cheng United States 35 2.0k 1.3× 367 0.9× 260 1.1× 112 0.5× 353 1.7× 75 3.4k
Denis Calise France 31 1.2k 0.8× 1.0k 2.5× 217 0.9× 107 0.5× 268 1.3× 74 3.4k
Elizabeth O’Donnell United States 25 1.2k 0.8× 229 0.6× 116 0.5× 90 0.4× 147 0.7× 116 2.4k
Nicholas A. Lanson United States 17 1.6k 1.0× 333 0.8× 167 0.7× 116 0.5× 198 1.0× 22 2.7k
Stephana Carelli Italy 27 1.0k 0.7× 175 0.4× 64 0.3× 222 1.1× 282 1.4× 95 2.2k

Countries citing papers authored by Dajiang Qin

Since Specialization
Citations

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

Fields of papers citing papers by Dajiang Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dajiang Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Dajiang Qin. A scholar is included among the top collaborators of Dajiang Qin 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 Dajiang Qin. Dajiang Qin 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.
Sun, Zhenzhu, Xinyu Wu, Ding Liang, et al.. (2025). α‐Ketoglutarate inhibits the pluripotent‐to‐totipotent state transition in stem cells. FEBS Journal. 292(9). 2398–2409. 1 indexed citations
2.
Wei, Ziying, et al.. (2025). Krüppel‐like factor 4 transcription factor in blood–brain barrier endothelial cells: A potential role in Alzheimer's disease. Animal Models and Experimental Medicine. 8(5). 819–828. 2 indexed citations
3.
Li, Han, Senthil Kumaran Satyanarayanan, Sau Fong Leung, et al.. (2024). Advancements in Targeting Macrophage Senescence for Age-Associated Conditions. Aging and Disease. 16(4). 2201–2236. 6 indexed citations
4.
5.
Yang, Liang, Xiaobing Lin, Hao Wang, et al.. (2024). NAD+ dependent UPRmt activation underlies intestinal aging caused by mitochondrial DNA mutations. Nature Communications. 15(1). 546–546. 26 indexed citations
6.
Lv, Jiang, Jianzhong Zhang, Xinrui Zhang, et al.. (2023). c-Met is a chimeric antigen receptor T-cell target for treating recurrent nasopharyngeal carcinoma. Cytotherapy. 25(10). 1037–1047. 5 indexed citations
7.
Zhong, Hui, Ran Zhang, Guihuan Li, et al.. (2023). c-JUN is a barrier in hESC to cardiomyocyte transition. Life Science Alliance. 6(11). e202302121–e202302121. 12 indexed citations
8.
He, Yan, Jing Yang, Wei Xian, et al.. (2023). Blockade of NMT1 enzymatic activity inhibits N-myristoylation of VILIP3 protein and suppresses liver cancer progression. Signal Transduction and Targeted Therapy. 8(1). 14–14. 41 indexed citations
9.
Xu, Hongjie, et al.. (2023). Mesenchymal Stem Cells-based Cell-free Therapy Targeting Neuroinflammation. Aging and Disease. 15(3). 0–0. 9 indexed citations
10.
Liao, Rui, Yi Wu, Le Qin, et al.. (2023). BCL11B and the NuRD complex cooperatively guard T‐cell fate and inhibit OPA1 ‐mediated mitochondrial fusion in T cells. The EMBO Journal. 42(21). e113448–e113448. 12 indexed citations
11.
Zhang, Zhen, Esther González-Almela, Álvaro Castells-García, et al.. (2022). Static Magnetic Fields Regulate T-Type Calcium Ion Channels and Mediate Mesenchymal Stem Cells Proliferation. Cells. 11(15). 2460–2460. 26 indexed citations
12.
Chong, Cheong‐Meng, Yuan Tan, Ke Zhang, et al.. (2022). Presenilin-1 F105C mutation leads to tau accumulation in human neurons via the Akt/mTORC1 signaling pathway. Cell & Bioscience. 12(1). 131–131. 4 indexed citations
13.
Xu, Hongjie, Jingjing Wang, Di Wu, & Dajiang Qin. (2022). A hybrid hydrogel encapsulating human umbilical cord mesenchymal stem cells enhances diabetic wound healing. Journal of Materials Science Materials in Medicine. 33(8). 60–60. 22 indexed citations
14.
He, Songwei, Fuhui Wang, Yixin Zhang, et al.. (2019). Hemi-methylated CpG sites connect Dnmt1-knockdown-induced and Tet1-induced DNA demethylation during somatic cell reprogramming. Cell Discovery. 5(1). 11–11. 13 indexed citations
15.
Liu, Wenbo, Qi Long, Keshi Chen, et al.. (2013). Mitochondrial metabolism transition cooperates with nuclear reprogramming during induced pluripotent stem cell generation. Biochemical and Biophysical Research Communications. 431(4). 767–771. 22 indexed citations
16.
Zhang, Hui, Qi‐Sheng Feng, Manbo Cai, et al.. (2012). The propensity for tumorigenesis in human induced pluripotent stem cells is related with genomic instability. Chinese Journal of Cancer. 32(4). 205–212. 20 indexed citations
17.
Wang, Lihui, Linli Wang, Wenhao Huang, et al.. (2012). Generation of integration-free neural progenitor cells from cells in human urine. Nature Methods. 10(1). 84–89. 181 indexed citations
18.
Zhou, Gang, David Kung‐Chun Chiu, Dajiang Qin, et al.. (2012). Detection and Clinical Significance of CD44v6 and Integrin-β1 in Pancreatic Cancer Patients using a Triplex Real-Time RT-PCR Assay. Applied Biochemistry and Biotechnology. 167(8). 2257–2268. 19 indexed citations
19.
Chen, Jiekai, Jing Liu, Dajiang Qin, et al.. (2010). Towards an Optimized Culture Medium for the Generation of Mouse Induced Pluripotent Stem Cells. Journal of Biological Chemistry. 285(40). 31066–31072. 46 indexed citations
20.
Li, Keguo, Yun Wang, Yuefeng Tang, et al.. (2005). Improved performance of primary rat hepatocytes on blended natural polymers. Journal of Biomedical Materials Research Part A. 75A(2). 268–274. 10 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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