Ya-Wei Guo

847 total citations
19 papers, 622 citations indexed

About

Ya-Wei Guo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ya-Wei Guo has authored 19 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Immunology and 5 papers in Oncology. Recurrent topics in Ya-Wei Guo's work include Immune cells in cancer (7 papers), Extracellular vesicles in disease (4 papers) and Research in Cotton Cultivation (3 papers). Ya-Wei Guo is often cited by papers focused on Immune cells in cancer (7 papers), Extracellular vesicles in disease (4 papers) and Research in Cotton Cultivation (3 papers). Ya-Wei Guo collaborates with scholars based in China, United Kingdom and Australia. Ya-Wei Guo's co-authors include Wei Wei, Jiajie Tu, Wenming Hong, Xinming Wang, Pengying Zhang, Heinrich Körner, Yilong Fang, Wei Gao, Lu Long and Dafei Han and has published in prestigious journals such as Frontiers in Immunology, Gene and Journal of Ethnopharmacology.

In The Last Decade

Ya-Wei Guo

19 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya-Wei Guo China	12	303	178	138	94	74	19	622
Tao Liang China	14	278 0.9×	70 0.4×	90 0.7×	121 1.3×	76 1.0×	38	610
Yi Xiong China	22	590 1.9×	69 0.4×	228 1.7×	93 1.0×	39 0.5×	37	958
Gerben Schaaf Netherlands	15	474 1.6×	171 1.0×	154 1.1×	44 0.5×	62 0.8×	26	877
Gregory Harrison United Kingdom	10	240 0.8×	54 0.3×	72 0.5×	56 0.6×	99 1.3×	14	566
Zhaohui Geng United States	10	341 1.1×	156 0.9×	54 0.4×	80 0.9×	20 0.3×	17	628
Zhiwei Feng China	15	242 0.8×	33 0.2×	84 0.6×	64 0.7×	94 1.3×	29	531
Yong Peng China	14	364 1.2×	37 0.2×	45 0.3×	192 2.0×	34 0.5×	36	973
Jinzhu Fan China	11	321 1.1×	33 0.2×	142 1.0×	36 0.4×	82 1.1×	16	475
Sha Yan China	10	181 0.6×	76 0.4×	69 0.5×	78 0.8×	42 0.6×	19	445

Countries citing papers authored by Ya-Wei Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ya-Wei Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya-Wei Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Wei Guo. A scholar is included among the top collaborators of Ya-Wei 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 Ya-Wei Guo. Ya-Wei 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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19 of 19 papers shown

Zhang, Yumin, Qi Luo, Lu Meng, et al.. (2025). Pharmacological effects and mechanism of Ilexsaponin A1 in modulating platelet function. Journal of Ethnopharmacology. 344. 119564–119564. 2 indexed citations

Guo, Ya-Wei, Lu Meng, Xiangbin Zeng, et al.. (2025). Platelet glycoprotein VI promotes folic acid-induced acute kidney injury through interaction with tubular epithelial cell-derived galectin-3. Cell Communication and Signaling. 23(1). 148–148. 1 indexed citations

Lu, Meng, Yumin Zhang, Ya-Wei Guo, et al.. (2024). Platelets promote primary hepatocellular carcinoma metastasis through TGF-β1-mediated cancer cell autophagy. Cancer Letters. 600. 217161–217161. 12 indexed citations

Gao, Jiahui, Aodi He, Yajun Zhou, et al.. (2024). Direct interaction of platelet with tumor cell aggravates hepatocellular carcinoma metastasis by activating TLR4/ADAM10/CX3CL1 axis. Cancer Letters. 585. 216674–216674. 8 indexed citations

Xu, Fuchun, Meijuan Wang, Ya-Wei Guo, et al.. (2023). The Na+/H+ antiporter GbSOS1 interacts with SIP5 and regulates salt tolerance in Gossypium barbadense. Plant Science. 330. 111658–111658. 10 indexed citations

Luo, Liping, et al.. (2023). Role of activating the nuclear factor kappa B signaling pathway in the development of septic cardiomyopathy in rats with sepsis. Technology and Health Care. 31(5). 1671–1681. 2 indexed citations

Tan, Xuewen, Haifeng Jiang, Yilong Fang, et al.. (2020). The essential role of long non-coding RNA GAS5 in glioma: interaction with microRNAs, chemosensitivity and potential as a biomarker. Journal of Cancer. 12(1). 224–231. 14 indexed citations

Tu, Jiajie, Xun Gong, Wenming Hong, et al.. (2020). Synovial Macrophages in Rheumatoid Arthritis: The Past, Present, and Future. Mediators of Inflammation. 2020. 1–8. 39 indexed citations

Guo, Ya-Wei, Wenming Hong, Pengying Zhang, et al.. (2020). Abnormal polarization of macrophage‑like cells in the peripheral blood of patients with glioma. Oncology Letters. 20(1). 947–954. 5 indexed citations

10.

Tu, Jiajie, Wenming Hong, Ya-Wei Guo, et al.. (2019). Ontogeny of Synovial Macrophages and the Roles of Synovial Macrophages From Different Origins in Arthritis. Frontiers in Immunology. 10. 1146–1146. 44 indexed citations

11.

Tu, Jiajie, Ya-Wei Guo, Wenming Hong, et al.. (2019). The Regulatory Effects of Paeoniflorin and Its Derivative Paeoniflorin-6′-O-Benzene Sulfonate CP-25 on Inflammation and Immune Diseases. Frontiers in Pharmacology. 10. 57–57. 74 indexed citations

12.

Han, Dafei, Yilong Fang, Ya-Wei Guo, et al.. (2019). The emerging role of long non-coding RNAs in tumor-associated macrophages. Journal of Cancer. 10(26). 6738–6746. 23 indexed citations

13.

Guo, Ya-Wei, Wenming Hong, Xinming Wang, et al.. (2019). MicroRNAs in Microglia: How do MicroRNAs Affect Activation, Inflammation, Polarization of Microglia and Mediate the Interaction Between Microglia and Glioma?. Frontiers in Molecular Neuroscience. 12. 125–125. 128 indexed citations

14.

Fang, Yilong, Jiajie Tu, Dafei Han, et al.. (2019). The effects of long non-coding ribonucleic acids on various cellular components in rheumatoid arthritis. Lara D. Veeken. 59(1). 46–56. 9 indexed citations

15.

Long, Lu, et al.. (2019). Transcriptome analysis reveals differentially expressed ERF transcription factors associated with salt response in cotton. Plant Science. 281. 72–81. 73 indexed citations

16.

Gao, Wei, Fuchun Xu, Dandan Guo, et al.. (2018). Calcium-dependent protein kinases in cotton: insights into early plant responses to salt stress. BMC Plant Biology. 18(1). 15–15. 73 indexed citations

17.

Wang, Xinming, Xiaoyun Chen, Wei Huang, et al.. (2018). Losartan suppresses the inflammatory response in collagen-induced arthritis by inhibiting the MAPK and NF-κB pathways in B and T cells. Inflammopharmacology. 27(3). 487–502. 27 indexed citations

18.

Xu, Fuchun, Huili Liu, Yunyun Xu, et al.. (2017). Heterogeneous expression of the cotton R2R3-MYB transcription factor GbMYB60 increases salt sensitivity in transgenic Arabidopsis. Plant Cell Tissue and Organ Culture (PCTOC). 133(1). 15–25. 32 indexed citations

19.

Wu, Chen, Yuanyuan Xie, Feng Gao, et al.. (2013). Lgr5 expression as stem cell marker in human gastric gland and its relatedness with other putative cancer stem cell markers. Gene. 525(1). 18–25. 46 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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