Yong Guo

6.3k total citations · 1 hit paper
145 papers, 4.4k citations indexed

About

Yong Guo is a scholar working on Molecular Biology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Yong Guo has authored 145 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 27 papers in Neurology and 23 papers in Pathology and Forensic Medicine. Recurrent topics in Yong Guo's work include Multiple Sclerosis Research Studies (20 papers), Peripheral Neuropathies and Disorders (13 papers) and Tissue Engineering and Regenerative Medicine (9 papers). Yong Guo is often cited by papers focused on Multiple Sclerosis Research Studies (20 papers), Peripheral Neuropathies and Disorders (13 papers) and Tissue Engineering and Regenerative Medicine (9 papers). Yong Guo collaborates with scholars based in China, United States and Canada. Yong Guo's co-authors include Claudia F. Lucchinetti, Joseph E. Parisi, Hans Lassmann, Sudhansu K. Dey, Jiang Gu, Sean J. Pittock, Stephen D. Weigand, Bogdan F. Gh. Popescu, Wolfgang Brück and Imke Metz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Yong Guo

133 papers receiving 4.3k citations

Hit Papers

Clinical and pathological... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Guo China 33 1.4k 1.4k 981 634 532 145 4.4k
Kathryn C. Fitzgerald United States 38 1.7k 1.3× 878 0.6× 715 0.7× 449 0.7× 498 0.9× 161 4.2k
Wei Qiu China 36 2.2k 1.6× 2.0k 1.4× 1.3k 1.3× 1.1k 1.8× 736 1.4× 287 5.4k
Filippo Martinelli Boneschi Italy 39 1.1k 0.8× 972 0.7× 1.6k 1.7× 453 0.7× 397 0.7× 132 4.4k
Nikolaos Grigoriadis Greece 43 1.6k 1.2× 1.1k 0.8× 1.9k 1.9× 665 1.0× 1.5k 2.7× 221 7.0k
Zhengqi Lu China 34 1.2k 0.9× 1.2k 0.9× 1.1k 1.1× 1.1k 1.8× 1.1k 2.0× 189 4.5k
Tobias Ruck Germany 34 1.1k 0.8× 1000 0.7× 833 0.8× 819 1.3× 546 1.0× 184 4.0k
Pamela McCombe Australia 45 922 0.7× 2.8k 2.1× 1.3k 1.3× 1.5k 2.4× 964 1.8× 231 6.5k
Cristoforo Comi Italy 42 1.9k 1.4× 2.3k 1.7× 1.4k 1.4× 938 1.5× 843 1.6× 205 6.0k
Eleonora Cocco Italy 32 2.1k 1.5× 746 0.6× 726 0.7× 641 1.0× 277 0.5× 238 4.1k
Jennifer Graves United States 31 1.8k 1.3× 714 0.5× 970 1.0× 403 0.6× 226 0.4× 119 3.4k

Countries citing papers authored by Yong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Guo. A scholar is included among the top collaborators of Yong 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 Yong Guo. Yong Guo 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.
Xu, Xiaoyuan, Zhenyu Xie, Huiyong Wang, et al.. (2025). Highly sensitive ratiometric pH nanoprobe based on CuNCs–Rh6G for monitoring intracellular pH and meat freshness. Analytica Chimica Acta. 1377. 344650–344650.
2.
Yan, Qing‐Shan, et al.. (2025). The influence of maternal gestational weight gain on adverse perinatal outcomes. Frontiers in Endocrinology. 16. 1513344–1513344. 1 indexed citations
3.
Chen, Xiang, et al.. (2025). Numerical simulation of CO2 sequestration stability in carbonate-bearing saline aquifers: Effects of mineral dissolution. Energy. 335. 138273–138273. 3 indexed citations
5.
Li, Yan, Chen Chao, Xinrong Li, et al.. (2024). Traditional medicine Xianglian pill suppresses high-fat diet-related colorectal cancer via inactivating TLR4/MyD88 by remodeling gut microbiota composition and bile acid metabolism. Journal of Ethnopharmacology. 333. 118411–118411. 13 indexed citations
6.
Gakh, Oleksandr, Jordan Wilkins, Yong Guo, et al.. (2024). Infrared spectral profiling of demyelinating activity in multiple sclerosis brain tissue. Acta Neuropathologica Communications. 12(1). 146–146.
7.
Gong, Xun, et al.. (2024). Chromosome‐level genome assembly of Iodes seguinii and its metabonomic implications for rheumatoid arthritis treatment. The Plant Genome. 18(1). e20534–e20534. 3 indexed citations
8.
Chen, Michelle, et al.. (2024). Pearls & Oy-sters: KLHL11 IgG Paraneoplastic–Associated Hearing Loss and Rhombencephalitis in a Woman With Metastatic Müllerian Tumor. Neurology. 102(7). e209187–e209187. 1 indexed citations
9.
Pinto, Marcus Vinícius, et al.. (2024). Immune Checkpoint Inhibitor-Associated Kelch-Like Protein-11 IgG Brainstem Encephalitis. Neurology Neuroimmunology & Neuroinflammation. 11(3). e200218–e200218. 3 indexed citations
10.
Yu, Lili, et al.. (2023). Genome-Wide Tissue-Specific Genes Identification for Novel Tissue-Specific Promoters Discovery in Soybean. Genes. 14(6). 1150–1150. 2 indexed citations
11.
Guo, Yong, Ma Li, & Zhuo Zhang. (2023). circ_0013613 Promotes the recovery of spinal cord injury by regulating mir-370-3p/caspase1 to regulate neuronal pyroptosis. Acta Biochimica Polonica. 70(1). 91–97. 4 indexed citations
12.
Guo, Yong, et al.. (2023). <i>Polygonatum sibiricum</i> Polysaccharide Inhibited Liver Cancer in a Simulated Tumor Microenvironment by Eliminating TLR4/STAT3 Pathway. Biological and Pharmaceutical Bulletin. 46(9). 1249–1259. 10 indexed citations
13.
14.
Chen, Haitao, Jiali Zhang, Lu Xu, et al.. (2023). Berberine inhibits high fat diet-associated colorectal cancer through modulation of the gut microbiota-mediated lysophosphatidylcholine. International Journal of Biological Sciences. 19(7). 2097–2113. 36 indexed citations
15.
Obaid, Abeer, Joshua M. Thurman, Naila Makhani, et al.. (2023). MOGAD patient autoantibodies induce complement, phagocytosis, and cellular cytotoxicity. JCI Insight. 8(11). 24 indexed citations
16.
Liu, Yan‐Fei, Yuxia Jia, Na Zhang, et al.. (2022). Pathological prognosis classification of patients with neuroblastoma using computational pathology analysis. Computers in Biology and Medicine. 149. 105980–105980. 13 indexed citations
17.
Tang, Hua, Xin Wang, Hong Li, et al.. (2021). Effects of Different Plant Growth Regulators on Agronomic Traits and Photosynthetic Performance of Mung Bean. 6(3). 39–39. 1 indexed citations
18.
Guo, Yong, Liang Shen, Lu Liu, et al.. (2013). Proliferative effect and osteoinductive potential of extracellular matrix coated on cell culture plates. SpringerPlus. 2(1). 303–303. 8 indexed citations
19.
Popescu, Bogdan, Reem F. Bunyan, Yong Guo, et al.. (2013). Evidence of aquaporin involvement in human central pontine myelinolysis. Acta Neuropathologica Communications. 1(1). 40–40. 37 indexed citations
20.
Zhang, Peiming, et al.. (2004). Effects of human umbilical cord serum on proliferation and insulin content of human fetal islet-like cell clusters.. PubMed. 3(1). 144–8. 5 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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