Yuru Shi

574 total citations
16 papers, 431 citations indexed

About

Yuru Shi is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Yuru Shi has authored 16 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 8 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Yuru Shi's work include Antimicrobial Resistance in Staphylococcus (6 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Mycobacterium research and diagnosis (2 papers). Yuru Shi is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Mycobacterium research and diagnosis (2 papers). Yuru Shi collaborates with scholars based in China and United States. Yuru Shi's co-authors include Christine Tkaczyk, C. Kendall Stover, Hua Long, JoAnn Suzich, Bret R. Sellman, Jamese J. Hilliard, Bret R. Sellman, Vivekananda Datta, Partha S. Chowdhury and Randall S. MacGill and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, mBio and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Yuru Shi

13 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuru Shi China	8	265	199	85	79	66	16	431
Vien T. M. Le United States	11	246 0.9×	185 0.9×	72 0.8×	60 0.8×	62 0.9×	13	435
Avanish K. Varshney United States	16	344 1.3×	247 1.2×	124 1.5×	96 1.2×	46 0.7×	21	615
Christine A. Herfst Canada	13	145 0.5×	195 1.0×	132 1.6×	61 0.8×	52 0.8×	14	529
Zehra Visram Austria	9	124 0.5×	104 0.5×	35 0.4×	41 0.5×	43 0.7×	12	259
Christopher S. Stach United States	12	348 1.3×	256 1.3×	127 1.5×	90 1.1×	77 1.2×	14	553
Chanelle Ryan United States	10	319 1.2×	252 1.3×	89 1.0×	107 1.4×	48 0.7×	11	497
Peter J. Syribeys United States	7	350 1.3×	265 1.3×	92 1.1×	54 0.7×	114 1.7×	8	457
Laura Lindholm Finland	13	209 0.8×	142 0.7×	42 0.5×	155 2.0×	97 1.5×	19	520
Swathi Shrihari United States	8	502 1.9×	184 0.9×	120 1.4×	88 1.1×	27 0.4×	12	670
Deborah A. Dilts United States	9	166 0.6×	144 0.7×	55 0.6×	145 1.8×	54 0.8×	11	383

Countries citing papers authored by Yuru Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yuru Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuru Shi

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

All Works

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16 of 16 papers shown

Shi, Yuru, Ke Yuan, Yue Li, et al.. (2025). Clinical characteristics of single human rhinovirus infection and co-infection in the respiratory tract of children. Translational Pediatrics. 14(3). 373–381. 2 indexed citations

Shi, Yuru, et al.. (2025). Association between gut microbiota in HIV-infected patients and immune reconstitution following antiretroviral therapy (ART). BMC Infectious Diseases. 25(1). 666–666.

Liu, Ting, et al.. (2025). Predictive value of serum HBV RNA on HBeAg seroconversion in treated chronic hepatitis B patients. European Journal of Gastroenterology & Hepatology. 37(6). 738–744.

Wu, Jing, Yingjie Qi, Wenyan Zhang, et al.. (2025). Metagenomic next-generation sequencing for etiological diagnosis of an unexpected rabies case with unclear exposure history. BMC Infectious Diseases. 25(1). 258–258.

Shi, Yuru, Xiaoqian Zhang, Shengji Pei, & Yuhua Wang. (2024). Ethnopharmacological study on Adenosma buchneroides Bonati inhibiting inflammation via the regulation of TLR4/MyD88/NF-κB signaling pathway. Natural Products and Bioprospecting. 14(1). 36–36. 2 indexed citations

Ye, Li, Ting Liu, Yuru Shi, et al.. (2023). Novel Biomarker Panel of Let-7d-5p and MiR-140-5p Can Distinguish Latent Tuberculosis Infection from Active Tuberculosis Patients. Infection and Drug Resistance. Volume 16. 3847–3859. 2 indexed citations

Liu, Ting, et al.. (2023). Clinical Diagnostic Value of Serum 25-Hydroxyvitamin D in Severe Fever with Thrombocytopenia Syndrome. Infection and Drug Resistance. Volume 16. 1715–1724. 2 indexed citations

Zhang, Shanshan, Gang Wu, Yuru Shi, et al.. (2022). Understanding etiology of community-acquired central nervous system infections using metagenomic next-generation sequencing. Frontiers in Cellular and Infection Microbiology. 12. 979086–979086. 11 indexed citations

Shi, Yuru, Jing Wu, Ting Liu, et al.. (2022). Analysis of Metagenomic Next-Generation Sequencing Results of 25 Pus Samples. Infection and Drug Resistance. Volume 15. 6515–6524. 6 indexed citations

10.

Zhang, Zhihui, Yu‐Lin Kuang, Kui Ma, et al.. (2022). Gclc overexpression inhibits apoptosis of bone marrow mesenchymal stem cells through the PI3K/AKT/Foxo1 pathway to alleviate inflammation in acute lung injury. International Immunopharmacology. 110. 109017–109017. 15 indexed citations

11.

Tkaczyk, Christine, Е. А. Семенова, Yuru Shi, et al.. (2018). Alanine Scanning Mutagenesis of the MEDI4893 (Suvratoxumab) Epitope Reduces Alpha Toxin Lytic Activity In Vitro and Staphylococcus aureus Fitness in Infection Models. Antimicrobial Agents and Chemotherapy. 62(11). 17 indexed citations

12.

Tkaczyk, Christine, Srinath Kasturirangan, Andrea Minola, et al.. (2017). Multimechanistic Monoclonal Antibodies (MAbs) Targeting Staphylococcus aureus Alpha-Toxin and Clumping Factor A: Activity and Efficacy Comparisons of a MAb Combination and an Engineered Bispecific Antibody Approach. Antimicrobial Agents and Chemotherapy. 61(8). 31 indexed citations

13.

Tkaczyk, Christine, Melissa Hamilton, Agnieszka Sadowska, et al.. (2016). Targeting Alpha Toxin and ClfA with a Multimechanistic Monoclonal-Antibody-Based Approach for Prophylaxis of Serious Staphylococcus aureus Disease. mBio. 7(3). 45 indexed citations

14.

Long, Hua, Taylor S. Cohen, Yuru Shi, et al.. (2015). MEDI4893* Promotes Survival and Extends the Antibiotic Treatment Window in a Staphylococcus aureus Immunocompromised Pneumonia Model. Antimicrobial Agents and Chemotherapy. 59(8). 4526–4532. 55 indexed citations

15.

Long, Hua, Jamese J. Hilliard, Yuru Shi, et al.. (2013). Assessment of an Anti-Alpha-Toxin Monoclonal Antibody for Prevention and Treatment of Staphylococcus aureus-Induced Pneumonia. Antimicrobial Agents and Chemotherapy. 58(2). 1108–1117. 138 indexed citations

16.

Tkaczyk, Christine, Hua Long, Yuru Shi, et al.. (2012). Identification of Anti-Alpha Toxin Monoclonal Antibodies That Reduce the Severity of Staphylococcus aureus Dermonecrosis and Exhibit a Correlation between Affinity and Potency. Clinical and Vaccine Immunology. 19(3). 377–385. 105 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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