Shaobo Su

1.8k total citations
32 papers, 1.5k citations indexed

About

Shaobo Su is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Shaobo Su has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Shaobo Su's work include Systemic Lupus Erythematosus Research (5 papers), Chemokine receptors and signaling (5 papers) and Immune Cell Function and Interaction (4 papers). Shaobo Su is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Chemokine receptors and signaling (5 papers) and Immune Cell Function and Interaction (4 papers). Shaobo Su collaborates with scholars based in China, United States and Japan. Shaobo Su's co-authors include Naofumi Mukaida, Ji Ming Wang, Kouji Matsushima, Wanghua Gong, Xiyun Deng, Kengo Furuichi, K. Kobayashi, Hitoshi Yokoyama, Takashi Wada and Jianbin Wang and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Circulation Research.

In The Last Decade

Shaobo Su

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaobo Su China 19 719 549 318 177 173 32 1.5k
Ming-Shi Chang Taiwan 26 893 1.2× 588 1.1× 456 1.4× 201 1.1× 65 0.4× 42 1.8k
Paul Friese United States 22 770 1.1× 345 0.6× 487 1.5× 86 0.5× 56 0.3× 35 2.6k
K. Lea Sewell United States 16 588 0.8× 415 0.8× 564 1.8× 483 2.7× 111 0.6× 31 1.9k
Ricardo Giscombe Sweden 23 1.1k 1.5× 415 0.8× 202 0.6× 231 1.3× 44 0.3× 41 1.7k
Sibylle von Vietinghoff Germany 27 1.1k 1.5× 208 0.4× 445 1.4× 135 0.8× 254 1.5× 68 1.9k
Elliott B. Grossbard United States 22 823 1.1× 288 0.5× 337 1.1× 465 2.6× 50 0.3× 32 2.1k
Hirofumi Shoda Japan 23 1.1k 1.5× 432 0.8× 450 1.4× 515 2.9× 35 0.2× 100 2.0k
Grzegorz Dworacki Poland 23 1.3k 1.7× 885 1.6× 765 2.4× 89 0.5× 138 0.8× 99 2.6k
Liudmila Kulik United States 21 857 1.2× 95 0.2× 335 1.1× 143 0.8× 279 1.6× 42 1.6k
Satoko Arai Japan 27 900 1.3× 210 0.4× 547 1.7× 301 1.7× 144 0.8× 82 2.1k

Countries citing papers authored by Shaobo Su

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shaobo Su. A scholar is included among the top collaborators of Shaobo Su 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 Shaobo Su. Shaobo Su 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.
Su, Shaobo, et al.. (2025). The oral-gut microbiota axis in cardiovascular diseases: mechanisms, therapeutic targets, and translational challenges. Frontiers in Cellular and Infection Microbiology. 15. 1658502–1658502.
2.
Yuan, Xinxin, Xiaopeng Li, Shaobo Su, et al.. (2024). Enhancing Gpx1 palmitoylation to inhibit angiogenesis by targeting PPT1. Redox Biology. 77. 103376–103376. 6 indexed citations
3.
Wang, Yi, et al.. (2018). Facial nerve function and influencing factors after excision of Koos grade 3 and 4 vestibular schwannomas. Zhonghua shenjing waike zazhi. 34(1). 26–29. 1 indexed citations
4.
Yu, Ying, Zhiyao Bao, Xiaofei Wang, et al.. (2017). The G-Protein-Coupled Chemoattractant Receptor Fpr2 Exacerbates High Glucose-Mediated Proinflammatory Responses of Müller Glial Cells. Frontiers in Immunology. 8. 1852–1852. 18 indexed citations
5.
Song, Jiepeng, Zhuoli Zhang, Xu Ji, et al.. (2016). Lack of evidence of hepatitis in patients with oral lichen planus in China: A case control study. Medicina oral, patología oral y cirugía bucal. 21(2). e161–e168. 17 indexed citations
6.
Chen, Keqiang, Jiming Wang, Ruoxi Yuan, et al.. (2016). Tissue-resident dendritic cells and diseases involving dendritic cell malfunction. International Immunopharmacology. 34. 1–15. 31 indexed citations
7.
Yang, Tianshu, et al.. (2016). 2-Methoxyestradiol Alleviates Experimental Autoimmune Uveitis by Inhibiting Lymphocytes Proliferation and T Cell Differentiation. BioMed Research International. 2016. 1–8. 5 indexed citations
8.
Su, Shaobo, et al.. (2015). Preoperative visualization of cranial nerves in skull base tumor surgery using diffusion tensor imaging technology. Turkish Neurosurgery. 26(6). 805–812. 32 indexed citations
9.
Li, Liangzhu, Keqiang Chen, Yi Xiang, et al.. (2015). New development in studies of formyl-peptide receptors: critical roles in host defense. Journal of Leukocyte Biology. 99(3). 425–435. 61 indexed citations
10.
Hao, Mu, Li Liu, Jing‐fei Dong, et al.. (2012). Prognostic relevance of circulating endothelial progenitor cells for severe traumatic brain injury. Brain Injury. 26(3). 291–297. 18 indexed citations
11.
12.
Li, Shuhui, Ronghua Zhang, Weijing Yi, et al.. (2008). Development of a novel method to measure macrophage migration inhibitory factor (MIF) in sera of patients with rheumatoid arthritis by combined electrochemical immunosensor. International Immunopharmacology. 8(6). 859–865. 18 indexed citations
13.
Le, Yingying, Jinyue Hu, Wanghua Gong, et al.. (2000). N36, a Synthetic N-Terminal Heptad Repeat Domain of the HIV-1 Envelope Protein gp41, Is an Activator of Human Phagocytes. Clinical Immunology. 96(3). 236–242. 37 indexed citations
14.
Shimoya, Koichiro, Noboru Matsuzaki, Keisuke Sawai, et al.. (1998). Regulation of placental monocyte chemotactic and activating factor during pregnancy and chorioamnionitis. Molecular Human Reproduction. 4(4). 393–400. 12 indexed citations
15.
Ueda, Hirotsugu, O. M. Zack Howard, Michael Grimm, et al.. (1998). HIV-1 envelope gp41 is a potent inhibitor of chemoattractant receptor expression and function in monocytes.. Journal of Clinical Investigation. 102(4). 804–812. 27 indexed citations
16.
Wang, Ji Ming, et al.. (1998). Chemokines and Their Role in Cardiovascular Diseases. Trends in Cardiovascular Medicine. 8(4). 169–174. 14 indexed citations
17.
Wang, Ji Ming, Xiyun Deng, Wanghua Gong, & Shaobo Su. (1998). Chemokines and their role in tumor growth and metastasis. Journal of Immunological Methods. 220(1-2). 1–17. 266 indexed citations
18.
Wada, Takashi, Hitoshi Yokoyama, Shaobo Su, et al.. (1996). Monitoring urinary levels of monocyte chemotactic and activating factor reflects disease activity of lupus nephritis. Kidney International. 49(3). 761–767. 173 indexed citations
19.
Wada, Takashi, Hitoshi Yokoyama, Kengo Furuichi, et al.. (1996). Intervention of crescentic glomerulonephritis by antibodies to monocyte chemotactic and activating factor (MCAF/MCP‐1). The FASEB Journal. 10(12). 1418–1425. 174 indexed citations
20.
Kasahara, Keita, Takashi Tobe, Naofumi Mukaida, et al.. (1994). Selective Expression Of Monocyte Chemotactic And Activating Factor/Monocyte Chemoattractant Protein 1 In Human Blood Monocytes By Mycobacterium Tuberculosis. The Journal of Infectious Diseases. 170(5). 1238–1247. 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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