Rui Si

426 total citations
10 papers, 346 citations indexed

About

Rui Si is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Rui Si has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Rui Si's work include Immune Response and Inflammation (2 papers), Sepsis Diagnosis and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). Rui Si is often cited by papers focused on Immune Response and Inflammation (2 papers), Sepsis Diagnosis and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). Rui Si collaborates with scholars based in China and United States. Rui Si's co-authors include Lin Zou, Yan Feng, Wei Chao, H. Shaw Warren, Ming Zhang, David E. Sosnovik, Howard H. Chen, Yan Li, Marielle Scherrer‐Crosbie and Shiqian Shen and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Critical Care Medicine.

In The Last Decade

Rui Si

10 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rui Si China	9	151	137	77	50	49	10	346
Jennifer Hawkins United States	7	121 0.8×	144 1.1×	47 0.6×	54 1.1×	23 0.5×	8	525
Myoung Ju Koh South Korea	9	89 0.6×	78 0.6×	88 1.1×	54 1.1×	32 0.7×	14	412
Xiao-Fan Hu China	10	71 0.5×	202 1.5×	49 0.6×	35 0.7×	27 0.6×	14	401
Mária Godó Hungary	10	76 0.5×	237 1.7×	46 0.6×	42 0.8×	130 2.7×	18	478
Zhengde Lu China	9	187 1.2×	139 1.0×	66 0.9×	61 1.2×	57 1.2×	13	373
Paulette A. Krishack United States	9	122 0.8×	147 1.1×	65 0.8×	18 0.4×	28 0.6×	15	390
Ning Huangfu China	9	88 0.6×	247 1.8×	52 0.7×	58 1.2×	142 2.9×	26	451
Gerard Pernes Australia	9	257 1.7×	268 2.0×	100 1.3×	122 2.4×	73 1.5×	13	551
Shengshuai Shan United States	10	69 0.5×	72 0.5×	67 0.9×	35 0.7×	29 0.6×	22	296
Daniel Mar United States	11	80 0.5×	280 2.0×	61 0.8×	51 1.0×	58 1.2×	17	493

Countries citing papers authored by Rui Si

Since Specialization

Citations

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

Fields of papers citing papers by Rui Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Si

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Si. A scholar is included among the top collaborators of Rui Si 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 Rui Si. Rui Si is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Dai, Wenjie, Yang Hong, Bo Xu, et al.. (2023). Human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) alleviate excessive autophagy of ovarian granular cells through VEGFA/PI3K/AKT/mTOR pathway in premature ovarian failure rat model. Journal of Ovarian Research. 16(1). 198–198. 27 indexed citations

Xu, Bo, Wenjie Dai, Ling Liu, et al.. (2023). Activation of the p62-Keap1-Nrf2 pathway protects against oxidative stress and excessive autophagy in ovarian granulosa cells to attenuate DEHP-induced ovarian impairment in mice. Ecotoxicology and Environmental Safety. 265. 115534–115534. 27 indexed citations

Liu, Jing, Tongyu Tang, Zhihui Qu, et al.. (2022). Elevated number of IL-21+ TFH and CD86+CD38+ B cells in blood of renal transplant recipients with AMR under conventional immuno-suppression. International Journal of Immunopathology and Pharmacology. 36. 3938518619–3938518619. 8 indexed citations

Zhao, Pingwei, Peiwen Zhou, Tongyu Tang, et al.. (2022). Levels of circulating mast cell progenitors and tumour‑infiltrating mast cells in patients with colorectal cancer. Oncology Reports. 47(5). 8 indexed citations

Li, Tao, et al.. (2020). Increased frequency of PD-1hiCXCR5- T cells and B cells in patients with newly diagnosed IgA nephropathy. Scientific Reports. 10(1). 492–492. 26 indexed citations

Si, Rui, Pingwei Zhao, Zhenxiang Yu, et al.. (2019). Increased Non-switched Memory B Cells are Associated with Plasmablasts, Serum IL-6 Levels and Renal Functional Impairments in IgAN Patients. Immunological Investigations. 49(1-2). 178–190. 12 indexed citations

Li, Yan, Rui Si, Yan Feng, et al.. (2011). Myocardial Ischemia Activates an Injurious Innate Immune Signaling via Cardiac Heat Shock Protein 60 and Toll-like Receptor 4. Journal of Biological Chemistry. 286(36). 31308–31319. 118 indexed citations

Yu, Qiujun, Rui Si, Haokao Gao, et al.. (2010). Postprocedure Administration of Insulin in Canine Autologous Vein Grafting: A Potential Strategy to Attenuate Intimal Hyperplasia. Journal of Cardiovascular Pharmacology. 56(4). 402–412. 6 indexed citations

Zou, Lin, Yan Feng, Yu‐Jung Chen, et al.. (2010). Toll-like receptor 2 plays a critical role in cardiac dysfunction during polymicrobial sepsis*. Critical Care Medicine. 38(5). 1335–1342. 73 indexed citations

10.

Feng, Yan, et al.. (2010). Bone marrow MyD88 signaling modulates neutrophil function and ischemic myocardial injury. American Journal of Physiology-Cell Physiology. 299(4). C760–C769. 41 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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