Faping Yi

506 total citations
35 papers, 381 citations indexed

About

Faping Yi is a scholar working on Molecular Biology, Cancer Research and Behavioral Neuroscience. According to data from OpenAlex, Faping Yi has authored 35 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Behavioral Neuroscience. Recurrent topics in Faping Yi's work include Stress Responses and Cortisol (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Tryptophan and brain disorders (5 papers). Faping Yi is often cited by papers focused on Stress Responses and Cortisol (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Tryptophan and brain disorders (5 papers). Faping Yi collaborates with scholars based in China, United States and Canada. Faping Yi's co-authors include Youquan Bu, Geli Liu, Chengfu Yuan, Changdong Wang, Fangzhou Song, Fangzhou Song, Rongzhong Huang, Jian Zhou, Li Cheng and Xiangmei Wu and has published in prestigious journals such as Chemistry of Materials, Food Chemistry and Neuroscience.

In The Last Decade

Faping Yi

32 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faping Yi China	13	179	62	52	40	39	35	381
Xueying Zhao China	13	231 1.3×	82 1.3×	97 1.9×	38 0.9×	24 0.6×	31	498
Tingting Duan China	11	204 1.1×	40 0.6×	63 1.2×	38 0.9×	17 0.4×	19	453
Hongwei Yi China	13	140 0.8×	21 0.3×	25 0.5×	67 1.7×	45 1.2×	26	406
Rabih El‐Merahbi Germany	10	198 1.1×	43 0.7×	35 0.7×	16 0.4×	37 0.9×	11	416
Shimeng Zhou China	12	161 0.9×	39 0.6×	41 0.8×	26 0.7×	20 0.5×	22	367
Jia‐Shing Chen Taiwan	12	274 1.5×	81 1.3×	84 1.6×	19 0.5×	28 0.7×	21	525
Xuejing Lin China	13	237 1.3×	58 0.9×	120 2.3×	46 1.1×	42 1.1×	28	565
Pongali B. Raghavendra India	11	159 0.9×	30 0.5×	21 0.4×	45 1.1×	21 0.5×	24	345
Shuyun Yang China	14	292 1.6×	113 1.8×	102 2.0×	20 0.5×	68 1.7×	24	598

Countries citing papers authored by Faping Yi

Since Specialization

Citations

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

Fields of papers citing papers by Faping Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faping Yi

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

All Works

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20 of 20 papers shown

Wang, Lili, Xiaopeng Ji, Fengmei Lu, et al.. (2025). Sex shapes phenotype-linked metabolic signatures of stress exposure in the mouse hypothalamus and pituitary. Neurobiology of Disease. 209. 106898–106898.

Huang, Haojun, Tingting Wang, Xiong Zhang, et al.. (2024). Cross-Linking Proteomics Strategy to Provide Insights into the Direct Corona Bound to Amino-Free Ligands on Gold Nanoparticles. Chemistry of Materials. 1 indexed citations

Liu, Yanchen, Mingming Zhang, Zhao Liu, et al.. (2022). A strategy can be used to analyze intracellular interaction proteomics of cell-surface receptors. Amino Acids. 55(2). 263–273. 2 indexed citations

Yang, Chen, Mingming Zhang, Shuiming Li, et al.. (2022). Effects of Camk2b Overexpression and Underexpression on the Proteome of Rat Hippocampal Neurons. Neuroscience. 503. 58–68. 3 indexed citations

Liu, Yanchen, Lixiang Wang, Hong Xie, et al.. (2021). Chronic mild stress-induced protein dysregulations correlated with susceptibility and resiliency to depression or anxiety revealed by quantitative proteomics of the rat prefrontal cortex. Translational Psychiatry. 11(1). 143–143. 37 indexed citations

Liu, Dan, Lixiang Wang, Faping Yi, et al.. (2021). Comparative Proteomics of Rat Olfactory Bulb Reveal Insights into Susceptibility and Resiliency to Chronic-stress-induced Depression or Anxiety. Neuroscience. 473. 29–43. 8 indexed citations

Yang, Chen, et al.. (2021). Proteomic Insights Into Susceptibility and Resistance to Chronic-Stress-Induced Depression or Anxiety in the Rat Striatum. Frontiers in Molecular Biosciences. 8. 730473–730473. 9 indexed citations

Liu, Yanchen, Shuiming Li, Wei Chen, et al.. (2021). Global effects of RAB3GAP1 dysexpression on the proteome of mouse cortical neurons. Amino Acids. 53(9). 1339–1350. 2 indexed citations

Liu, Dan, et al.. (2021). Proteomic Response of Rat Pituitary Under Chronic Mild Stress Reveals Insights Into Vulnerability and Resistance to Anxiety or Depression. Frontiers in Genetics. 12. 751999–751999. 12 indexed citations

10.

Liu, Yanchen, Haojun Huang, Hong Xie, et al.. (2021). Intersectional analysis of chronic mild stress-induced lncRNA-mRNA interaction networks in rat hippocampus reveals potential anti-depression/anxiety drug targets. Neurobiology of Stress. 15. 100347–100347. 15 indexed citations

11.

Peng, Yan, et al.. (2018). Influence of glucose transporter 1 activity inhibition on neuroblastoma in vitro. Gene. 689. 11–17. 24 indexed citations

12.

Yi, Faping, Xiaoyan Gou, Ji Zhang, et al.. (2014). The overexpression of MCPH1 inhibits cell growth through regulating cell cycle-related proteins and activating cytochrome c-caspase 3 signaling in cervical cancer. Molecular and Cellular Biochemistry. 392(1-2). 95–107. 16 indexed citations

13.

Wu, Xiangmei, Xing Liu, Qing-fang Jiao, et al.. (2014). Cytotoxic T Lymphocytes Elicited by Dendritic Cell-Targeted Delivery of Human Papillomavirus Type-16 E6/E7 Fusion Gene Exert Lethal Effects on CaSki Cells. Asian Pacific Journal of Cancer Prevention. 15(6). 2447–2451. 7 indexed citations

14.

Liu, Xiaoqi, Siqi Li, & Faping Yi. (2014). Trop2 gene: a novel target for cervical cancer treatment. Journal of Cancer Research and Clinical Oncology. 140(8). 1331–1341. 14 indexed citations

15.

Pan, Weiwei, Faping Yi, Xiaoman Liu, et al.. (2013). DAXX silencing suppresses mouse ovarian surface epithelial cell growth by inducing senescence and DNA damage. Gene. 526(2). 287–294. 17 indexed citations

16.

Yuan, Chengfu, Youquan Bu, Changdong Wang, et al.. (2011). NFBD1/MDC1 is a protein of oncogenic potential in human cervical cancer. Molecular and Cellular Biochemistry. 359(1-2). 333–346. 27 indexed citations

17.

Yuan, Chengfu, et al.. (2009). Melanin-concentrating hormone receptor 2 affects 3T3-L1 preadipocyte differentiation. Molecular and Cellular Endocrinology. 311(1-2). 11–17. 7 indexed citations

18.

Wei, Lili, Zhongtang Wang, Tao Cui, et al.. (2008). Proteomic analysis of cervical cancer cells treated with adenovirus-mediated MDA-7. Cancer Biology & Therapy. 7(4). 510–516. 13 indexed citations

19.

H, Shi, Lili Wei, Chengfu Yuan, et al.. (2007). Melanoma differentiation-associated gene-7/interleukin 24 inhibits invasion and migration of human cervical cancer cells in vitro.. PubMed. 28(11). 1671–5. 13 indexed citations

20.

Song, Fangzhou, Pingbo Zhang, Faping Yi, et al.. (2002). Study on fibroin heavy chain of the silkwormBombyx mori by fluorescencein situ hybridization (FISH). Science in China Series C Life Sciences. 45(6). 663–668. 3 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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