Nalin Qin

415 total citations
11 papers, 335 citations indexed

About

Nalin Qin is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Nalin Qin has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Nalin Qin's work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (5 papers) and RNA modifications and cancer (3 papers). Nalin Qin is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (5 papers) and RNA modifications and cancer (3 papers). Nalin Qin collaborates with scholars based in China and United States. Nalin Qin's co-authors include Lin Xu, Juanjuan Zhao, Ya Zhou, Yijing Tao, Chao Chen, Mengmeng Guo, Dan Tian, Wen Zheng, Jing Zheng and Yijin Tao and has published in prestigious journals such as Frontiers in Immunology, Journal of Leukocyte Biology and Breast Cancer Research and Treatment.

In The Last Decade

Nalin Qin

11 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nalin Qin China 7 230 210 87 32 24 11 335
Bowen Wang China 9 250 1.1× 143 0.7× 61 0.7× 22 0.7× 15 0.6× 17 303
Junyi Yin China 7 147 0.6× 90 0.4× 58 0.7× 50 1.6× 28 1.2× 8 254
Yue Du China 10 299 1.3× 153 0.7× 40 0.5× 59 1.8× 24 1.0× 15 355
Shaowen Jin China 7 253 1.1× 92 0.4× 52 0.6× 57 1.8× 24 1.0× 9 323
Yunping Luo China 10 313 1.4× 265 1.3× 109 1.3× 114 3.6× 31 1.3× 12 474
Ross Wanner United States 6 266 1.2× 197 0.9× 63 0.7× 89 2.8× 18 0.8× 13 365
Yue‐Ju Li Taiwan 9 243 1.1× 174 0.8× 29 0.3× 71 2.2× 21 0.9× 11 326
Ana Inés Landoni Uruguay 10 198 0.9× 80 0.4× 123 1.4× 29 0.9× 14 0.6× 17 334
Hui‐Lung Sun Taiwan 5 285 1.2× 93 0.4× 60 0.7× 92 2.9× 30 1.3× 5 393
Ross A. Cordiner United Kingdom 7 326 1.4× 159 0.8× 25 0.3× 58 1.8× 23 1.0× 9 383

Countries citing papers authored by Nalin Qin

Since Specialization
Citations

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

Fields of papers citing papers by Nalin Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nalin Qin

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

All Works

11 of 11 papers shown
1.
Zhang, Wenxin, Rong Ding, Wenwen Wei, et al.. (2024). Unraveling susceptibility genes: A contemporary overview of autoimmune thyroid diseases. International Immunopharmacology. 136. 112313–112313. 2 indexed citations
2.
Zheng, Wen, Juanjuan Zhao, Yijing Tao, et al.. (2018). MicroRNA‑21: A promising biomarker for the prognosis and diagnosis of non‑small cell lung cancer (Review). Oncology Letters. 16(3). 2777–2782. 47 indexed citations
3.
Zhao, Juanjuan, Chao Chen, Mengmeng Guo, et al.. (2016). MicroRNA-7 Deficiency Ameliorates the Pathologies of Acute Lung Injury through Elevating KLF4. Frontiers in Immunology. 7. 389–389. 39 indexed citations
4.
Zhao, Juanjuan, Yijing Tao, Ya Zhou, et al.. (2015). MicroRNA-7: a promising new target in cancer therapy. Cancer Cell International. 15(1). 103–103. 90 indexed citations
5.
Tao, Yijing, Wen Zheng, Juanjuan Zhao, et al.. (2015). Antisense oligonucleotides against microRNA-21 reduced the proliferation and migration of human colon carcinoma cells. Cancer Cell International. 15(1). 77–77. 31 indexed citations
6.
Hu, Yan, Chunhong Wang, Juanjuan Zhao, et al.. (2015). MiR‐21 controls in situ expansion of CCR6+ regulatory T cells through PTEN/AKT pathway in breast cancer. Immunology and Cell Biology. 93(8). 753–764. 32 indexed citations
7.
Hu, Yan, Chao Chen, Mengmeng Guo, et al.. (2015). [Identification of miR-126 knockdown mouse and the change of blood glucose].. PubMed. 40(1). 12–7. 2 indexed citations
8.
Zhao, Juanjuan, Yan Hu, Chao Chen, et al.. (2014). MicroRNAs expression profile in CCR6 + regulatory T cells. PeerJ. 2. e575–e575. 4 indexed citations
9.
Hu, Yan, Chao Chen, Nalin Qin, et al.. (2014). [Over-expressed microRNA-7 inhibits the growth of human lung cancer cells via suppressing CGGBP1 expression].. PubMed. 30(2). 125–30. 6 indexed citations
10.
Yan, Dan, Nalin Qin, Hailong Zhang, et al.. (2008). Expression of TNF-α leader sequence renders MCF-7 tumor cells resistant to the cytotoxicity of soluble TNF-α. Breast Cancer Research and Treatment. 116(1). 91–102. 24 indexed citations
11.
Zhang, Hailong, Dan Yan, Xu Shi, et al.. (2008). Transmembrane TNF-α mediates “forward” and “reverse” signaling, inducing cell death or survival via the NF-κB pathway in Raji Burkitt lymphoma cells. Journal of Leukocyte Biology. 84(3). 789–797. 58 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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