Yeye Guo

791 total citations
21 papers, 529 citations indexed

About

Yeye Guo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yeye Guo has authored 21 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Yeye Guo's work include Signaling Pathways in Disease (5 papers), Extracellular vesicles in disease (3 papers) and Cell Adhesion Molecules Research (3 papers). Yeye Guo is often cited by papers focused on Signaling Pathways in Disease (5 papers), Extracellular vesicles in disease (3 papers) and Cell Adhesion Molecules Research (3 papers). Yeye Guo collaborates with scholars based in China, United States and Canada. Yeye Guo's co-authors include Xiang Chen, Mingzhu Yin, Xu Zhang, Hong Liu, Xu Zhang, Cong Peng, Jianglin Zhang, Juan Su, Juan Tao and Shuang Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Journal of Controlled Release.

In The Last Decade

Yeye Guo

21 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yeye Guo China	13	328	183	145	116	59	21	529
Ying Jin China	15	379 1.2×	154 0.8×	80 0.6×	196 1.7×	55 0.9×	37	706
Zhihui Song China	14	239 0.7×	78 0.4×	182 1.3×	88 0.8×	33 0.6×	22	518
George Baltatzis Greece	11	268 0.8×	134 0.7×	60 0.4×	69 0.6×	33 0.6×	23	444
Lindsay Wilde United States	7	247 0.8×	186 1.0×	54 0.4×	125 1.1×	56 0.9×	42	455
Marketta Kähkönen Finland	8	407 1.2×	125 0.7×	39 0.3×	120 1.0×	37 0.6×	16	645
Bastian Czogalla Germany	15	237 0.7×	103 0.6×	141 1.0×	176 1.5×	41 0.7×	64	620
Luv Patel United States	12	459 1.4×	77 0.4×	92 0.6×	221 1.9×	77 1.3×	33	877
Rezina Arju United States	11	617 1.9×	168 0.9×	136 0.9×	254 2.2×	37 0.6×	16	933
Kaili Zhang China	15	398 1.2×	257 1.4×	68 0.5×	104 0.9×	40 0.7×	24	620
D. Bae United States	11	238 0.7×	190 1.0×	325 2.2×	132 1.1×	67 1.1×	24	653

Countries citing papers authored by Yeye Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yeye Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeye Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yeye Guo. A scholar is included among the top collaborators of Yeye Guo 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 Yeye Guo. Yeye Guo 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

Sun, Qi, et al.. (2025). Size-specific clonidine-loaded liposomes: Advancing melanoma microenvironment suppression with safety and precision. Journal of Controlled Release. 379. 120–134. 1 indexed citations

Guo, Yeye, et al.. (2024). Association between alopecia areata, anxiety, and depression: Insights from a bidirectional two-sample Mendelian randomization study. Journal of Affective Disorders. 350. 328–331. 4 indexed citations

Yi, Yan, Danrong Jing, Yeye Guo, et al.. (2023). Age at Natural Menopause, Reproductive Lifespan, and the Risk of Late-Onset Psoriasis and Psoriatic Arthritis in Women: A Prospective Cohort Study. Journal of Investigative Dermatology. 144(6). 1273–1281.e5. 11 indexed citations

Guo, Yeye, et al.. (2023). TRAF6 regulates autophagy and apoptosis of melanoma cells through c‐Jun/ATG16L2 signaling pathway. SHILAP Revista de lepidopterología. 4(4). e309–e309. 7 indexed citations

Guo, Yeye, Lisha Wu, Juan Su, et al.. (2023). Associations between rheumatoid arthritis and skin cancer: A bidirectional two-sample Mendelian randomization study. Journal of the American Academy of Dermatology. 90(1). 198–200. 9 indexed citations

Zhang, Xu, Yeye Guo, Ling Tang, et al.. (2023). NETO2 promotes melanoma progression via activation of the Ca2+/CaMKII signaling pathway. Frontiers of Medicine. 17(2). 263–274. 2 indexed citations

Liu, Yuancheng, et al.. (2023). Multivariate Mendelian randomization provides no evidence for causal associations among both psoriasis and psoriatic arthritis, and skin cancer. Frontiers in Immunology. 14. 1252720–1252720. 1 indexed citations

Zhang, Xu, Yeye Guo, Ta Xiao, et al.. (2022). CD147 mediates epidermal malignant transformation through the RSK2/AP-1 pathway. Journal of Experimental & Clinical Cancer Research. 41(1). 246–246. 13 indexed citations

Zhang, Xu, Zunnan Huang, Yeye Guo, et al.. (2021). Correction to: The phosphorylation of CD147 by Fyn plays a critical role for melanoma cells growth and metastasis. Oncogene. 40(10). 1925–1925. 1 indexed citations

10.

Guo, Yeye, Xu Zhang, Min Li, et al.. (2021). The plasma exosomal miR-1180-3p serves as a novel potential diagnostic marker for cutaneous melanoma. Cancer Cell International. 21(1). 487–487. 38 indexed citations

11.

Guo, Yeye, Minxue Shen, Xu Zhang, et al.. (2021). Unemployment and Health-Related Quality of Life in Melanoma Patients During the COVID-19 Pandemic. Frontiers in Public Health. 9. 630620–630620. 17 indexed citations

12.

Liu, Nian, Jianglin Zhang, Mingzhu Yin, et al.. (2021). Inhibition of xCT suppresses the efficacy of anti-PD-1/L1 melanoma treatment through exosomal PD-L1-induced macrophage M2 polarization. Molecular Therapy. 29(7). 2321–2334. 87 indexed citations

13.

Guo, Yeye, Xu Zhang, Weiqi Zeng, et al.. (2020). TRAF6 Activates Fibroblasts to Cancer-Associated Fibroblasts through FGF19 in Tumor Microenvironment to Benefit the Malignant Phenotype of Melanoma Cells. Journal of Investigative Dermatology. 140(11). 2268–2279.e11. 20 indexed citations

14.

Guo, Yeye, et al.. (2020). Pyruvate kinase M2 (PKM2) in cancer and cancer therapeutics. Cancer Letters. 503. 240–248. 165 indexed citations

15.

Guo, Yeye, Minxue Shen, Xu Zhang, et al.. (2020). Association of Socioeconomic Changes due to the COVID-19 Pandemic With Health Outcomes in Patients With Skin Diseases: Cross-Sectional Survey Study. Journal of Medical Internet Research. 22(9). e22288–e22288. 15 indexed citations

16.

Zhang, Xu, Zunnan Huang, Yeye Guo, et al.. (2020). The phosphorylation of CD147 by Fyn plays a critical role for melanoma cells growth and metastasis. Oncogene. 39(21). 4183–4197. 18 indexed citations

17.

Tang, Ling, Xiaoping Chen, Xu Zhang, et al.. (2019). N-Glycosylation in progression of skin cancer. Medical Oncology. 36(6). 50–50. 22 indexed citations

18.

Guo, Yeye, et al.. (2019). Autophagy in Skin Diseases. Dermatology. 235(5). 380–389. 44 indexed citations

19.

Zhang, Xu, Lisha Wu, Ta Xiao, et al.. (2018). TRAF6 regulates EGF-induced cell transformation and cSCC malignant phenotype through CD147/EGFR. Oncogenesis. 7(2). 17–17. 23 indexed citations

20.

Lian, Cheng, Yeye Guo, Jianglin Zhang, Xiang Chen, & Cong Peng. (2017). Targeting CD147 is a Novel Strategy for Antitumor Therapy. Current Pharmaceutical Design. 23(29). 4410–4421. 19 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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