Ruiming Guo

583 total citations
15 papers, 457 citations indexed

About

Ruiming Guo is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Neurology. According to data from OpenAlex, Ruiming Guo has authored 15 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 3 papers in Neurology. Recurrent topics in Ruiming Guo's work include Toxic Organic Pollutants Impact (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ruiming Guo is often cited by papers focused on Toxic Organic Pollutants Impact (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ruiming Guo collaborates with scholars based in China and United States. Ruiming Guo's co-authors include Luqing Pan, Feng Zhang, Tuo Yang, Lei Zheng, Pengfei Lin, Hongwei Li, Chengbin Zhao, Jingjing Miao, Zhengfang Lu and Linlin Yao and has published in prestigious journals such as Scientific Reports, Marine Pollution Bulletin and International Journal of Biological Macromolecules.

In The Last Decade

Ruiming Guo

15 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruiming Guo China	12	157	155	97	73	63	15	457
Eric E. Beier United States	10	118 0.8×	171 1.1×	103 1.1×	24 0.3×	21 0.3×	12	502
Lingling Xie China	15	57 0.4×	366 2.4×	64 0.7×	40 0.5×	108 1.7×	66	784
Yikai Shou China	9	266 1.7×	232 1.5×	47 0.5×	58 0.8×	35 0.6×	14	627
Chenchen Cai China	15	100 0.6×	315 2.0×	33 0.3×	18 0.2×	198 3.1×	21	672
Chong Huang China	14	256 1.6×	236 1.5×	14 0.1×	95 1.3×	145 2.3×	31	678
Ruchi Gera India	11	118 0.8×	72 0.5×	72 0.7×	12 0.2×	11 0.2×	17	360
Audrey Toulotte Switzerland	11	330 2.1×	88 0.6×	20 0.2×	43 0.6×	33 0.5×	15	683
Jingli Liu China	11	289 1.8×	63 0.4×	49 0.5×	94 1.3×	47 0.7×	18	463
JoAnn Lucero United States	10	397 2.5×	64 0.4×	50 0.5×	83 1.1×	21 0.3×	13	533
Xiaozheng Zhu China	8	268 1.7×	120 0.8×	35 0.4×	58 0.8×	57 0.9×	15	457

Countries citing papers authored by Ruiming Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ruiming Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiming Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiming Guo. A scholar is included among the top collaborators of Ruiming 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 Ruiming Guo. Ruiming 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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15 of 15 papers shown

Hou, Yuanjing, Li Fang, Ruiming Guo, et al.. (2024). Unraveling the role of integrating signal peptides into natural collagen on modulating cancer cell adhesion. International Journal of Biological Macromolecules. 283(Pt 3). 137808–137808. 1 indexed citations

Ma, Ning, Hao Xu, Weihua Zhang, et al.. (2023). Genome-wide analysis revealed the dysregulation of RNA binding protein-correlated alternative splicing events in myocardial ischemia reperfusion injury. BMC Medical Genomics. 16(1). 251–251. 5 indexed citations

Zhang, Liang, Zhuang Tong, Ruiming Guo, et al.. (2023). Global, Regional, and National Burdens of Ischemic Heart Disease Attributable to Smoking From 1990 to 2019. Journal of the American Heart Association. 12(3). e028193–e028193. 37 indexed citations

Guo, Ruiming, Liang Zhang, Ning Ma, et al.. (2022). The diagnostic significance of integrating m6A modification and immune microenvironment features based on bioinformatic investigation in aortic dissection. Frontiers in Cardiovascular Medicine. 9. 948002–948002. 5 indexed citations

Pan, Luqing, et al.. (2020). A verification of correlation between chemical monitoring and multi-biomarker approach using clam Ruditapes philippinarum and scallop Chlamys farreri to assess the impact of pollution in Shandong coastal area of China. Marine Pollution Bulletin. 155. 111155–111155. 20 indexed citations

Zhao, Chengbin, Ruiming Guo, Fangxia Guan, et al.. (2020). MicroRNA-128-3p Enhances the Chemosensitivity of Temozolomide in Glioblastoma by Targeting c-Met and EMT. Scientific Reports. 10(1). 9471–9471. 45 indexed citations

Zhang, Di, Zhengfang Lu, Man Jiang, et al.. (2019). A likely protective effect of dimethyl itaconate on cerebral ischemia/reperfusion injury. International Immunopharmacology. 77. 105924–105924. 23 indexed citations

Zhao, Chengbin, et al.. (2019). Microarray expression profiles and bioinformatics analysis of mRNAs, lncRNAs, and circRNAs in the secondary temozolomide-resistant glioblastoma. Investigational New Drugs. 38(5). 1227–1235. 22 indexed citations

Zhang, Di, Zhengfang Lu, Man Jiang, et al.. (2019). Wnt-3a alleviates neuroinflammation after ischemic stroke by modulating the responses of microglia/macrophages and astrocytes. International Immunopharmacology. 75. 105760–105760. 63 indexed citations

10.

Pan, Luqing, et al.. (2019). Using multi-integrated biomarker indexes approach to assess marine quality and health status of marine organism: a case study of Ruditapes philippinarum in Laizhou Bay, China. Environmental Science and Pollution Research. 26(10). 9916–9930. 31 indexed citations

11.

Yang, Tuo, Ruiming Guo, & Feng Zhang. (2019). Brain perivascular macrophages: Recent advances and implications in health and diseases. CNS Neuroscience & Therapeutics. 25(12). 1318–1328. 74 indexed citations

12.

Guo, Ruiming, et al.. (2017). A multi-biomarker approach in scallop Chlamys farreri to assess the impact of contaminants in Qingdao coastal area of China. Ecotoxicology and Environmental Safety. 142. 399–409. 29 indexed citations

13.

Pan, Luqing, et al.. (2017). Assessing PAHs pollution in Shandong coastal area (China) by combination of chemical analysis and responses of reproductive toxicity in crab Portunus trituberculatus. Environmental Science and Pollution Research. 24(16). 14291–14303. 16 indexed citations

14.

Yao, Linlin, Luqing Pan, Ruiming Guo, & Jingjing Miao. (2017). Expression profiles of different glutathione S-transferase isoforms in scallop Chlamys farreri exposed to benzo[a]pyrene and chrysene in combination and alone. Ecotoxicology and Environmental Safety. 142. 480–488. 28 indexed citations

15.

Guo, Ruiming, Luqing Pan, Pengfei Lin, & Lei Zheng. (2016). The detoxification responses, damage effects and bioaccumulation in the scallop Chlamys farreri exposed to single and mixtures of benzo[a]pyrene and chrysene. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 191. 36–51. 58 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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