Kuan Ning

439 total citations
10 papers, 382 citations indexed

About

Kuan Ning is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Kuan Ning has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cancer Research. Recurrent topics in Kuan Ning's work include Extracellular vesicles in disease (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuropeptides and Animal Physiology (2 papers). Kuan Ning is often cited by papers focused on Extracellular vesicles in disease (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuropeptides and Animal Physiology (2 papers). Kuan Ning collaborates with scholars based in China and United States. Kuan Ning's co-authors include Jian Jin, Teng Wang, Dong Hua, Tingxun Lu, Linfang Jin, Pengfei Zhang, Hua Dong, Yun Chen, Dong Hua and Chun Zhang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Journal of Pharmacology and European Journal of Medicinal Chemistry.

In The Last Decade

Kuan Ning

10 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuan Ning China	8	300	207	80	56	30	10	382
Evangelia Pantazaka Greece	13	253 0.8×	85 0.4×	89 1.1×	28 0.5×	29 1.0×	22	402
Lingjie Sang United States	11	434 1.4×	263 1.3×	48 0.6×	29 0.5×	13 0.4×	15	569
Michael J. G. Milevskiy Australia	13	386 1.3×	167 0.8×	98 1.2×	30 0.5×	139 4.6×	26	541
Andrea Schweitzer Germany	8	266 0.9×	54 0.3×	91 1.1×	22 0.4×	10 0.3×	9	397
Yongfeng Jia China	6	332 1.1×	261 1.3×	39 0.5×	19 0.3×	7 0.2×	7	409
Laurent Beuret France	8	238 0.8×	48 0.2×	73 0.9×	82 1.5×	19 0.6×	10	434
Noah Jenkins United States	8	223 0.7×	48 0.2×	66 0.8×	23 0.4×	12 0.4×	8	445
Bo‐Syong Pan United States	12	355 1.2×	108 0.5×	94 1.2×	56 1.0×	4 0.1×	21	488
Xiafei Yu China	11	131 0.4×	63 0.3×	45 0.6×	19 0.3×	61 2.0×	23	311
Chengfu Cai China	11	229 0.8×	123 0.6×	38 0.5×	22 0.4×	66 2.2×	28	364

Countries citing papers authored by Kuan Ning

Since Specialization

Citations

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

Fields of papers citing papers by Kuan Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Ning

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

All Works

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10 of 10 papers shown

Liu, Jing, et al.. (2024). Glutamatergic neurons in ventral pallidum modulate heroin addiction via epithalamic innervation in rats. Acta Pharmacologica Sinica. 45(5). 945–958. 2 indexed citations

Ning, Kuan, Xiao Liu, Zixiang Li, et al.. (2023). Reversal of subtype-selectivity and function by the introduction of a para-benzamidyl substituent to N-cyclopropylmethyl nornepenthone. European Journal of Medicinal Chemistry. 258. 115589–115589. 1 indexed citations

Wu, Shuo, et al.. (2023). Up-regulation of BDNF/TrkB signaling by δ opioid receptor agonist SNC80 modulates depressive-like behaviors in chronic restraint-stressed mice. European Journal of Pharmacology. 942. 175532–175532. 12 indexed citations

Wang, Teng, et al.. (2018). Glycolysis is essential for chemoresistance induced by transient receptor potential channel C5 in colorectal cancer. BMC Cancer. 18(1). 207–207. 45 indexed citations

Zhang, Pengfei, Zhen Chen, Kuan Ning, Jian Jin, & Xiaofeng Han. (2017). Inhibition of B7-H3 reverses oxaliplatin resistance in human colorectal cancer cells. Biochemical and Biophysical Research Communications. 490(3). 1132–1138. 36 indexed citations

Ning, Kuan, Teng Wang, Pengfei Zhang, et al.. (2017). UCH‐L1‐containing exosomes mediate chemotherapeutic resistance transfer in breast cancer. Journal of Surgical Oncology. 115(8). 932–940. 109 indexed citations

Wang, Teng, et al.. (2017). S100A16 is a prognostic marker for colorectal cancer. Journal of Surgical Oncology. 117(2). 275–283. 38 indexed citations

Zhang, Ting, Kuan Ning, Fen Liu, et al.. (2016). B7-H3 upregulates BRCC3 expression, antagonizing DNA damage caused by 5-Fu. Oncology Reports. 36(1). 231–238. 20 indexed citations

Wang, Teng, Kuan Ning, Tingxun Lu, & Dong Hua. (2016). Elevated expression of TrpC5 and GLUT1 is associated with chemoresistance in colorectal cancer. Oncology Reports. 37(2). 1059–1065. 41 indexed citations

10.

Wang, Teng, Kuan Ning, Tingxun Lu, et al.. (2016). Increasing circulating exosomes‐carrying TRPC5 predicts chemoresistance in metastatic breast cancer patients. Cancer Science. 108(3). 448–454. 78 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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