Xiaomin Su

1.9k total citations
30 papers, 1.4k citations indexed

About

Xiaomin Su is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Xiaomin Su has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Neurology. Recurrent topics in Xiaomin Su's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Nerve injury and regeneration (4 papers). Xiaomin Su is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Nerve injury and regeneration (4 papers). Xiaomin Su collaborates with scholars based in China, United States and Poland. Xiaomin Su's co-authors include Howard J. Federoff, Kathleen A. Maguire‐Zeiss, Rita Giuliano, Landa Prifti, Karthik Venkatesh, Rongcun Yang, Yugang Huang, Yuan Zhang, Zhiqian Zhang and Piotr Hadaczek and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Xiaomin Su

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomin Su China 16 547 496 398 393 253 30 1.4k
Jorge Marcondes de Souza Brazil 21 481 0.9× 414 0.8× 411 1.0× 322 0.8× 102 0.4× 70 1.8k
Iryna Prots Germany 22 487 0.9× 806 1.6× 461 1.2× 629 1.6× 173 0.7× 36 1.8k
Zhaoqi Yan United States 16 479 0.9× 278 0.6× 389 1.0× 159 0.4× 357 1.4× 47 1.3k
Jian Shi China 17 620 1.1× 158 0.3× 238 0.6× 337 0.9× 123 0.5× 42 1.4k
Laura A. N. Peferoen Netherlands 15 657 1.2× 171 0.3× 814 2.0× 222 0.6× 460 1.8× 31 1.8k
Xiangyu Zheng China 16 318 0.6× 263 0.5× 219 0.6× 210 0.5× 197 0.8× 42 1.1k
Arne Wrede Germany 21 746 1.4× 380 0.8× 489 1.2× 168 0.4× 161 0.6× 40 1.7k
Sara Wojciechowski Finland 21 547 1.0× 222 0.4× 371 0.9× 192 0.5× 699 2.8× 31 1.7k
Fiona M. Menzies United Kingdom 16 764 1.4× 549 1.1× 177 0.4× 229 0.6× 273 1.1× 25 1.8k
Nunzio Vicario Italy 27 887 1.6× 136 0.3× 176 0.4× 227 0.6× 191 0.8× 70 1.8k

Countries citing papers authored by Xiaomin Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomin Su. A scholar is included among the top collaborators of Xiaomin 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 Xiaomin Su. Xiaomin 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.
Zhang, Kun, Kan He, Shuangshuang Xie, et al.. (2025). Gadoxetic Acid–enhanced MRI Scoring Model to Predict Pathologic Features of Hepatocellular Carcinoma. Radiology. 314(2). e233229–e233229. 3 indexed citations
2.
Xie, Runxiang, Yu Gu, Mengfan Li, et al.. (2024). Desulfovibrio vulgaris interacts with novel gut epithelial immune receptor LRRC19 and exacerbates colitis. Microbiome. 12(1). 4–4. 33 indexed citations
3.
4.
Bai, Juan, Haotian Li, Lu Wang, et al.. (2023). Effect of silk fibroin scaffold loaded with 17-β estradiol on the proliferation and differentiation of BMSCs. Regenerative Therapy. 23. 76–83. 2 indexed citations
5.
Jia, Yuxi, et al.. (2022). Myotonic dystrophy type 1 presenting with dyspnea: A case report. World Journal of Clinical Cases. 10(20). 7060–7067. 1 indexed citations
6.
Huang, Yugang, et al.. (2022). CENPF/CDK1 signaling pathway enhances the progression of adrenocortical carcinoma by regulating the G2/M-phase cell cycle. Journal of Translational Medicine. 20(1). 78–78. 36 indexed citations
7.
Huang, Yugang, et al.. (2021). Centromere Protein F (CENPF) Serves as a Potential Prognostic Biomarker and Target for Human Hepatocellular Carcinoma. Journal of Cancer. 12(10). 2933–2951. 30 indexed citations
8.
Su, Xiaomin, et al.. (2020). TRIM59 suppresses NO production by promoting the binding of PIAS1 and STAT1 in macrophages. International Immunopharmacology. 89(Pt A). 107030–107030. 15 indexed citations
9.
10.
Chen, Xiuwen, et al.. (2020). Identification of potential target genes and crucial pathways in small cell lung cancer based on bioinformatic strategy and human samples. PLoS ONE. 15(11). e0242194–e0242194. 15 indexed citations
11.
Qi, Houbao, Yuanyuan Li, Tong Zhang, et al.. (2019). Lactobacillus maintains healthy gut mucosa by producing L-Ornithine. Communications Biology. 2(1). 171–171. 102 indexed citations
12.
Su, Xiaomin, Xiaoying Ye, Ming Zeng, et al.. (2018). Embryonic lethality in mice lacking Trim59 due to impaired gastrulation development. Cell Death and Disease. 9(3). 302–302. 15 indexed citations
13.
Su, Xiaomin & Howard J. Federoff. (2014). Immune Responses in Parkinson’s Disease: Interplay between Central and Peripheral Immune Systems. BioMed Research International. 2014. 1–9. 70 indexed citations
14.
Su, Xiaomin, Hui Yan, Yining Zhao, et al.. (2014). LRRC19 expressed in the kidney induces TRAF2/6-mediated signals to prevent infection by uropathogenic bacteria. Nature Communications. 5(1). 4434–4434. 31 indexed citations
15.
Huang, Liang, Mika Shimoji, Juan Wang, et al.. (2013). Development of Inducible Leucine-rich Repeat Kinase 2 (LRRK2) Cell Lines for Therapeutics Development in Parkinson's Disease. Neurotherapeutics. 10(4). 840–851. 3 indexed citations
16.
Zhang, Miaomiao, Qiaofei Liu, Xue Liang, et al.. (2011). Both miR-17-5p and miR-20a Alleviate Suppressive Potential of Myeloid-Derived Suppressor Cells by Modulating STAT3 Expression. The Journal of Immunology. 186(8). 4716–4724. 136 indexed citations
17.
Su, Xiaomin, Howard J. Federoff, & Kathleen A. Maguire‐Zeiss. (2009). Mutant α-Synuclein Overexpression Mediates Early Proinflammatory Activity. Neurotoxicity Research. 16(3). 238–254. 122 indexed citations
18.
Johnston, Louisa C., Xiaomin Su, Kathleen A. Maguire‐Zeiss, et al.. (2008). Human Interleukin-10 Gene Transfer Is Protective in a Rat Model of Parkinson's Disease. Molecular Therapy. 16(8). 1392–1399. 68 indexed citations
19.
Su, Xiaomin, Kathleen A. Maguire‐Zeiss, Rita Giuliano, et al.. (2007). Synuclein activates microglia in a model of Parkinson's disease. Neurobiology of Aging. 29(11). 1690–1701. 389 indexed citations
20.
Maguire‐Zeiss, Kathleen A., Charlotte I. Wang, Mark A. Sullivan, et al.. (2006). Identification of human α-synuclein specific single chain antibodies. Biochemical and Biophysical Research Communications. 349(4). 1198–1205. 26 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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