Lisa W. Ru

424 total citations
10 papers, 341 citations indexed

About

Lisa W. Ru is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lisa W. Ru has authored 10 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Lisa W. Ru's work include Immune Response and Inflammation (5 papers), Muscle Physiology and Disorders (3 papers) and Immune Cell Function and Interaction (2 papers). Lisa W. Ru is often cited by papers focused on Immune Response and Inflammation (5 papers), Muscle Physiology and Disorders (3 papers) and Immune Cell Function and Interaction (2 papers). Lisa W. Ru collaborates with scholars based in United States, Saint Kitts and Nevis and China. Lisa W. Ru's co-authors include Wenji Piao, Vladimir Y. Toshchakov, Stefanie N. Vogel, Joseph A. Roche, Robert J. Bloch, Eric J. Sundberg, Richard M. Lovering, Kurt H. Piepenbrink, Henryk Szmacinski and Joseph R. Lakowicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Lisa W. Ru

10 papers receiving 340 citations

Peers

Lisa W. Ru

IMMUN

MB

EPIDE

CR

PHYSI

Trisha M. Finlay Canada

Tove Båge Sweden

Hui-Chun Yu Taiwan

Satoru Shindo Japan

Marta Podgórska Poland

Ruma A. Pengal United States

Susan Franchuk Canada

Marianela Feliu United States

Ammar Achour France

Elke M. Muntjewerff Netherlands

Trisha M. Finlay Canada

Lisa W. Ru

172 ×1.1

IMMUN

230 ×1.5

MB

48 ×0.9

EPIDE

29 ×0.6

CR

44 ×1.0

PHYSI

Citations per year, relative to Lisa W. Ru Lisa W. Ru (= 1×) peers Trisha M. Finlay

Countries citing papers authored by Lisa W. Ru

Since Specialization

Citations

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

Fields of papers citing papers by Lisa W. Ru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa W. Ru. 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 Lisa W. Ru. The network helps show where Lisa W. Ru may publish in the future.

Co-authorship network of co-authors of Lisa W. Ru

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa W. Ru. A scholar is included among the top collaborators of Lisa W. Ru 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 Lisa W. Ru. Lisa W. Ru 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

1.

Ru, Lisa W., et al.. (2025). VGRCOT: a one-tube visual detection method for group B Streptococcus combining RPA and CRISPR/Cas12a for point-of-care testing in reproductive health. Microbiology Spectrum. 13(10). e0139525–e0139525. 1 indexed citations

2.

Piao, Wenji, Lisa W. Ru, & Vladimir Y. Toshchakov. (2016). Differential adapter recruitment by TLR2 co-receptors. Pathogens and Disease. 74(5). ftw043–ftw043. 18 indexed citations

3.

Piao, Wenji, Kari Ann Shirey, Lisa W. Ru, et al.. (2015). A Decoy Peptide that Disrupts TIRAP Recruitment to TLRs Is Protective in a Murine Model of Influenza. Cell Reports. 11(12). 1941–1952. 53 indexed citations

4.

Piao, Wenji, Lisa W. Ru, Kurt H. Piepenbrink, et al.. (2013). Recruitment of TLR adapter TRIF to TLR4 signaling complex is mediated by the second helical region of TRIF TIR domain. Proceedings of the National Academy of Sciences. 110(47). 19036–19041. 51 indexed citations

5.

Roche, Joseph A., Lisa W. Ru, & Robert J. Bloch. (2012). Distinct Effects of Contraction-Induced InjuryIn Vivoon Four Different Murine Models of Dysferlinopathy. SHILAP Revista de lepidopterología. 2012. 1–11. 15 indexed citations

6.

Piao, Wenji, et al.. (2012). Targeting Toll-like Receptor (TLR) Signaling by Toll/Interleukin-1 Receptor (TIR) Domain-containing Adapter Protein/MyD88 Adapter-like (TIRAP/Mal)-derived Decoy Peptides. Journal of Biological Chemistry. 287(29). 24641–24648. 58 indexed citations

7.

Roche, Joseph A., Lisa W. Ru, Andrea O’Neill, et al.. (2011). Unmasking Potential Intracellular Roles For Dysferlin through Improved Immunolabeling Methods. Journal of Histochemistry & Cytochemistry. 59(11). 964–975. 29 indexed citations

8.

Roche, Joseph A., et al.. (2011). Physiological and histological changes in skeletal muscle following in vivo gene transfer by electroporation. American Journal of Physiology-Cell Physiology. 301(5). C1239–C1250. 25 indexed citations

9.

Roche, Joseph A., et al.. (2009). Extensive mononuclear infiltration and myogenesis characterize recovery of dysferlin-null skeletal muscle from contraction-induced injuries. American Journal of Physiology-Cell Physiology. 298(2). C298–C312. 55 indexed citations

10.

Keledjian, Kaspar, Jaladanki N. Rao, Tongtong Zou, et al.. (2005). Induced focal adhesion kinase expression suppresses apoptosis by activating NF-κB signaling in intestinal epithelial cells. American Journal of Physiology-Cell Physiology. 290(5). C1310–C1320. 36 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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