Kejun Nan

1.0k total citations
37 papers, 833 citations indexed

About

Kejun Nan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kejun Nan has authored 37 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kejun Nan's work include Autophagy in Disease and Therapy (6 papers), Cancer-related Molecular Pathways (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Kejun Nan is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Cancer-related Molecular Pathways (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Kejun Nan collaborates with scholars based in China, United States and Sweden. Kejun Nan's co-authors include Xuan Liang, Yongchang Wei, Tao Tian, Lili Jiang, Fuling Zhou, Hui Guo, Zhiping Ruan, Tianli Fan, Shanyong Yi and Mengjie Liu and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Annals of Oncology.

In The Last Decade

Kejun Nan

37 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kejun Nan China 17 438 273 192 117 101 37 833
Daya Luo China 15 513 1.2× 225 0.8× 318 1.7× 112 1.0× 61 0.6× 48 907
Ji Youn Han South Korea 12 735 1.7× 284 1.0× 241 1.3× 159 1.4× 71 0.7× 27 1.1k
Erin C. Connolly United States 9 753 1.7× 336 1.2× 393 2.0× 77 0.7× 75 0.7× 14 1.1k
Ángela Sanguino United States 15 642 1.5× 358 1.3× 206 1.1× 141 1.2× 190 1.9× 33 1.3k
Karolina Jabłońska Poland 18 290 0.7× 265 1.0× 138 0.7× 182 1.6× 84 0.8× 50 890
Danfeng Lin China 12 400 0.9× 362 1.3× 352 1.8× 219 1.9× 79 0.8× 18 1.1k
Li-Ching Lin Taiwan 20 393 0.9× 315 1.2× 204 1.1× 153 1.3× 97 1.0× 27 890
Pravin Kesarwani United States 21 477 1.1× 266 1.0× 291 1.5× 101 0.9× 73 0.7× 44 1.1k
Minghua Yu China 18 353 0.8× 109 0.4× 218 1.1× 76 0.6× 85 0.8× 47 811

Countries citing papers authored by Kejun Nan

Since Specialization
Citations

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

Fields of papers citing papers by Kejun Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejun Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Kejun Nan. A scholar is included among the top collaborators of Kejun Nan 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 Kejun Nan. Kejun Nan 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.
Jia, Xiaohui, Panpan Jiang, Hongxia Xu, et al.. (2020). The biomarkers related to immune related adverse events caused by immune checkpoint inhibitors. Journal of Experimental & Clinical Cancer Research. 39(1). 284–284. 82 indexed citations
2.
Wang, Xiao, Xuan Liang, Zhiping Ruan, et al.. (2020). Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients. Frontiers in Genetics. 11. 899–899. 9 indexed citations
3.
Huang, Tianhe, Fuling Zhou, Xiaohan Yuan, et al.. (2019). Reactive Oxygen Species Are Involved in the Development of Gastric Cancer and Gastric Cancer-Related Depression through ABL1-Mediated Inflammation Signaling Pathway. Oxidative Medicine and Cellular Longevity. 2019. 1–12. 34 indexed citations
4.
Fu, Xiao, Tao Tian, Zhiping Ruan, et al.. (2019). EP1.12-22 The Expression and Prognostic Roles of PD-L1, PAPR1 and DLL3 in Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S1024–S1025. 1 indexed citations
5.
Cui, Jie, Mincong Wang, Yamin Zhang, et al.. (2018). Combination of S-1 and gefitinib increases the sensitivity to radiotherapy in lung cancer cells. Cancer Chemotherapy and Pharmacology. 81(4). 717–726. 6 indexed citations
6.
Wang, Jing, Zhiyan Liu, Tinghua Hu, et al.. (2017). Nrf2 promotes progression of non-small cell lung cancer through activating autophagy. Cell Cycle. 16(11). 1053–1062. 36 indexed citations
7.
Huang, Tianhe, Jie Lian, Fuling Zhou, et al.. (2017). Potential prognostic value of clinical characteristics, hormone status and major depressive disorder in breast cancer. Future Oncology. 13(17). 1493–1503. 5 indexed citations
8.
Zhang, Yanjun, et al.. (2017). Reduced expression levels of PTEN are associated with decreased sensitivity of HCC827 cells to icotinib. Oncology Letters. 13(5). 3233–3238. 7 indexed citations
9.
Li, Jing, Tianyu Wu, Yarong Wang, et al.. (2017). P57-mediated autophagy promotes the efficacy of EGFR inhibitors in hepatocellular carcinoma. Annals of Oncology. 28. vii18–vii18. 4 indexed citations
10.
Guo, Qianqian, Zhiyan Liu, Lili Jiang, et al.. (2016). Metformin inhibits growth of human non-small cell lung cancer cells via liver kinase B-1-independent activation of adenosine monophosphate-activated protein kinase. Molecular Medicine Reports. 13(3). 2590–2596. 46 indexed citations
11.
Guo, Hui, Yi Li, Tao Tian, et al.. (2015). The role of cytoplasmic p57 in invasion of hepatocellular carcinoma. BMC Gastroenterology. 15(1). 104–104. 8 indexed citations
12.
Cui, Jie, Yunfeng Hu, Tao Tian, et al.. (2014). EGFR inhibitors and autophagy in cancer treatment. Tumor Biology. 35(12). 11701–11709. 36 indexed citations
13.
Sun, Hong, et al.. (2012). Expression of the Newly Identified Gene CAC1 in the Hippocampus of Alzheimer’s Disease Patients. Journal of Molecular Neuroscience. 47(2). 207–218. 12 indexed citations
14.
Yi, Shanyong, et al.. (2012). Cancer stem cells niche: A target for novel cancer therapeutics. Cancer Treatment Reviews. 39(3). 290–296. 65 indexed citations
15.
Tian, Tao, Kejun Nan, Shuhong Wang, et al.. (2010). PTEN regulates angiogenesis and VEGF expression through phosphatase-dependent and -independent mechanisms in HepG2 cells. Carcinogenesis. 31(7). 1211–1219. 69 indexed citations
16.
Nan, Kejun, et al.. (2009). Identification and characterization of CAC1 as a novel CDK2-associated cullin. Cell Cycle. 8(21). 3552–3561. 24 indexed citations
17.
Wei, Yongchang, et al.. (2009). Oxidative stress in depressive patients with gastric adenocarcinoma. The International Journal of Neuropsychopharmacology. 12(8). 1089–1089. 49 indexed citations
18.
Wei, Yongchang, Fuling Zhou, Dalin He, et al.. (2008). The level of oxidative stress and the expression of genes involved in DNA-damage signaling pathways in depressive patients with colorectal carcinoma. Journal of Psychosomatic Research. 66(3). 259–266. 41 indexed citations
19.
Liang, Xuan, Kejun Nan, & Qin‐Zhi Xu. (2007). [Effect of small interfering RNA-induced LKB1 gene silencing on the biological behavior of lung carcinoma cells].. PubMed. 27(9). 1303–6. 1 indexed citations
20.
Nan, Kejun, et al.. (2004). Effects of depression on parameters of cell-mediated immunity in patients with digestive tract cancers. World Journal of Gastroenterology. 10(2). 268–268. 24 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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