Feng Jiang

2.6k total citations
70 papers, 1.7k citations indexed

About

Feng Jiang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Feng Jiang has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 19 papers in Cancer Research and 16 papers in Immunology. Recurrent topics in Feng Jiang's work include MicroRNA in disease regulation (11 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (8 papers). Feng Jiang is often cited by papers focused on MicroRNA in disease regulation (11 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (8 papers). Feng Jiang collaborates with scholars based in China, United States and Canada. Feng Jiang's co-authors include Mingbing Xiao, Runzhou Ni, Cuihua Lu, Wenkai Ni, Jinxia Liu, Lishuai Qu, Jing Zhu, Lili Yu, Yi‐Fei Ji and Buyou Chen and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Hypertension.

In The Last Decade

Feng Jiang

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Jiang China 25 1.2k 597 244 198 123 70 1.7k
Lan Yang China 20 1.0k 0.9× 435 0.7× 230 0.9× 270 1.4× 101 0.8× 57 1.6k
Xia Yang China 28 1.4k 1.2× 795 1.3× 185 0.8× 272 1.4× 110 0.9× 75 2.1k
Vivi Kasim China 24 1.3k 1.1× 528 0.9× 153 0.6× 253 1.3× 161 1.3× 62 1.9k
Jiangchao Li China 22 963 0.8× 553 0.9× 165 0.7× 368 1.9× 130 1.1× 72 1.6k
Dongming Su China 22 969 0.8× 555 0.9× 299 1.2× 299 1.5× 101 0.8× 34 1.6k
Wen-Jia Chen China 23 996 0.8× 523 0.9× 165 0.7× 345 1.7× 154 1.3× 101 1.6k
Tao Huang China 24 1.0k 0.9× 560 0.9× 140 0.6× 133 0.7× 88 0.7× 115 1.8k
Adriane Feijó Evangelista Brazil 22 834 0.7× 622 1.0× 148 0.6× 265 1.3× 90 0.7× 75 1.4k

Countries citing papers authored by Feng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jiang. A scholar is included among the top collaborators of Feng Jiang 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 Feng Jiang. Feng Jiang 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.
Wu, Wenjing, et al.. (2025). The FOXD1/NAT10 positive feedback loop drives nasopharyngeal carcinoma progression. Hereditas. 162(1). 186–186.
2.
Geng, Zixiang, Gang Zou, Zeyu Cui, et al.. (2024). Alpha-Synuclein Inhibition Promotes Erythropoiesis by Affecting Methylation Modifications of Fructose and Mannose Metabolism. Stem Cells and Development. 34(3-4). 85–98. 1 indexed citations
3.
Xu, Xuebing, Shengze Zhu, Jie Ji, et al.. (2023). Differences between migrasome, a ‘new organelle’, and exosome. Journal of Cellular and Molecular Medicine. 27(23). 3672–3680. 14 indexed citations
4.
Liu, Jinxia, Lishuai Qu, Chunhua Wan, et al.. (2020). A novel β2-AR/YB-1/β-catenin axis mediates chronic stress-associated metastasis in hepatocellular carcinoma. Oncogenesis. 9(9). 84–84. 26 indexed citations
5.
Yi, Nan, et al.. (2020). Serum galectin‐3 as a biomarker for screening, early diagnosis, prognosis and therapeutic effect evaluation of pancreatic cancer. Journal of Cellular and Molecular Medicine. 24(19). 11583–11591. 20 indexed citations
6.
Zhang, Wei, Jingxin Zhang, Shiqing Zhang, et al.. (2020). Ubiquitin-specific protease 7 is a drug-able target that promotes hepatocellular carcinoma and chemoresistance. Cancer Cell International. 20(1). 28–28. 33 indexed citations
7.
Zhang, Dapeng, Li Xu, Lefeng Wang, Hong-Jiang Wang, & Feng Jiang. (2020). Effects of antidiabetic drugs on left ventricular function/dysfunction: a systematic review and network meta-analysis. Cardiovascular Diabetology. 19(1). 10–10. 33 indexed citations
8.
Xiao, Mingbing, Dandan Jin, Wenkai Ni, et al.. (2018). β2-AR regulates the expression of AKR1B1 in human pancreatic cancer cells and promotes their proliferation via the ERK1/2 pathway. Molecular Biology Reports. 45(6). 1863–1871. 18 indexed citations
9.
Liu, Jinxia, Hui Xu, Xuening Zhang, et al.. (2018). ARP3 promotes tumor metastasis and predicts a poor prognosis in hepatocellular carcinoma. Pathology - Research and Practice. 214(9). 1356–1361. 6 indexed citations
10.
11.
Huang, Hua, Mingbing Xiao, Feng Jiang, et al.. (2017). Sex comb on midleg like-2 is a novel specific marker for the diagnosis of gastroenteropancreatic neuroendocrine tumors. Experimental and Therapeutic Medicine. 14(2). 1749–1755. 2 indexed citations
12.
Liu, Jinxia, et al.. (2017). Long non-coding RNA SNHG20 predicts a poor prognosis for HCC and promotes cell invasion by regulating the epithelial-to-mesenchymal transition. Biomedicine & Pharmacotherapy. 89. 857–863. 79 indexed citations
13.
Zhao, Ying, Yanbo Yu, Xiao‐Li Tian, et al.. (2014). Association Study to Evaluate FoxO1 and FoxO3 Gene in CHD in Han Chinese. PLoS ONE. 9(1). e86252–e86252. 13 indexed citations
14.
Wu, Chong, Han Yan, Jing Zhi Sun, et al.. (2013). NEXN Is a Novel Susceptibility Gene for Coronary Artery Disease in Han Chinese. PLoS ONE. 8(12). e82135–e82135. 17 indexed citations
15.
Xiao, Mingbing, Runzhou Ni, Wenkai Ni, et al.. (2013). Serum GP73 is complementary to AFP and GGT-II for the diagnosis of hepatocellular carcinoma. Oncology Letters. 6(4). 1152–1158. 28 indexed citations
16.
Xiao, Mingbing, Feng Jiang, Wenkai Ni, et al.. (2011). High expression of S100A11 in pancreatic adenocarcinoma is an unfavorable prognostic marker. Medical Oncology. 29(3). 1886–1891. 41 indexed citations
17.
Li, Yuhua, et al.. (2010). Correlation of survivin gene with hepatocellular carcinoma in Han nationality in east China.. Academic Journal of Second Military Medical University. 31(12). 1314–1318. 1 indexed citations
18.
Chen, Liyan, Jian Guo, Feng Jiang, et al.. (2010). STK39 is an independent risk factor for male hypertension in Han Chinese. International Journal of Cardiology. 154(2). 122–127. 25 indexed citations
19.
Bian, Jianchao, et al.. (2005). The null genotypes of GSTM1 and GSTT1 and the genetic susceptibility of primary liver cancer in Luoyang, China. Tumori. 25(1). 58–61. 9 indexed citations
20.
Wei, Meng, et al.. (2003). Segregation analysis of hepatocellular carcinoma in a moderately high-incidence area of East China. World Journal of Gastroenterology. 9(11). 2428–2428. 31 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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