Michael S. Zhang

710 total citations
12 papers, 546 citations indexed

About

Michael S. Zhang is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Michael S. Zhang has authored 12 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Michael S. Zhang's work include Immune Cell Function and Interaction (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and T-cell and B-cell Immunology (2 papers). Michael S. Zhang is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and T-cell and B-cell Immunology (2 papers). Michael S. Zhang collaborates with scholars based in United States, Italy and Canada. Michael S. Zhang's co-authors include Martha M. Monick, Jon C. D. Houtman, Linda S. Powers, Aline Sandouk, Alicia K. Gerke, Nina Lovan, Sif Hansdóttir, Gary W. Hunninghake, Katherine S. Walters and D. Thomas Rutkowski and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Michael S. Zhang

10 papers receiving 532 citations

Peers

Michael S. Zhang
Niki Vassilaki Greece
Lucid Belmudes France
Marni E. Cueno Japan
Tanja Werner Germany
Frauke Beilstein France
Christian Rodríguez Rodrígues Argentina
Melissa D. Docampo United States
Chiaki Kajiwara Japan
Nuno S. Osório Portugal
Huilan Yu China
Niki Vassilaki Greece
Michael S. Zhang
Citations per year, relative to Michael S. Zhang Michael S. Zhang (= 1×) peers Niki Vassilaki

Countries citing papers authored by Michael S. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Zhang. 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 Michael S. Zhang. The network helps show where Michael S. Zhang may publish in the future.

Co-authorship network of co-authors of Michael S. Zhang

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

All Works

12 of 12 papers shown
1.
Alexander, Laura E. Crotty, Michael S. Zhang, Kambez H. Benam, et al.. (2024). The paradox of the safer cigarette: understanding the pulmonary effects of electronic cigarettes. European Respiratory Journal. 63(6). 2301494–2301494. 16 indexed citations
2.
Carol, Hallie, Michael S. Zhang, Vinh Dang, et al.. (2024). Hyperferritinemia Screening to Aid Identification and Differentiation of Patients with Hyperinflammatory Disorders. Journal of Clinical Immunology. 45(1). 4–4. 7 indexed citations
3.
Rose, Jason J., Michael S. Zhang, Marc Gauthier, et al.. (2023). Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide poisoning utilizing deep learning. Clinical Toxicology. 61(7). 492–499.
4.
Zhang, Michael S., Jessica Huston, Andrej A. Petrov, & Merritt L. Fajt. (2022). Peanut allergy in an adult following cardiac transplant from a non-atopic donor. Allergy and Asthma Proceedings. 44(1). 81–84. 3 indexed citations
5.
Salimi, Hamid, Michael S. Zhang, Yunxia O’Malley, et al.. (2019). The lipid membrane of HIV-1 stabilizes the viral envelope glycoproteins and modulates their sensitivity to antibody neutralization. Journal of Biological Chemistry. 295(2). 348–362. 46 indexed citations
6.
Zhang, Michael S., et al.. (2018). Glycerol monolaurate induces filopodia formation by disrupting the association between LAT and SLP-76 microclusters. Science Signaling. 11(528). 21 indexed citations
7.
Beránek, Václav, et al.. (2018). Genetically Encoded Protein Phosphorylation in Mammalian Cells. Cell chemical biology. 25(9). 1067–1074.e5. 59 indexed citations
8.
Zhang, Michael S., Aline Sandouk, & Jon C. D. Houtman. (2017). Glycerol Monolaurate (GML) Inhibits Human T Cell Signaling, Metabolism, and Function By Disrupting Lipid Dynamics. Journal of Allergy and Clinical Immunology. 139(2). AB269–AB269. 2 indexed citations
9.
Zhang, Michael S. & Jon C. D. Houtman. (2016). Human Serum Albumin (HSA) Suppresses the Effects of Glycerol Monolaurate (GML) on Human T Cell Activation and Function. PLoS ONE. 11(10). e0165083–e0165083. 13 indexed citations
10.
Zhang, Michael S., Aline Sandouk, & Jon C. D. Houtman. (2016). Glycerol Monolaurate (GML) inhibits human T cell signaling and function by disrupting lipid dynamics. Scientific Reports. 6(1). 30225–30225. 69 indexed citations
11.
Hassan, Ihab, Michael S. Zhang, Linda S. Powers, et al.. (2011). Influenza A Viral Replication Is Blocked by Inhibition of the Inositol-requiring Enzyme 1 (IRE1) Stress Pathway. Journal of Biological Chemistry. 287(7). 4679–4689. 124 indexed citations
12.
Monick, Martha M., Linda S. Powers, Katherine S. Walters, et al.. (2010). Identification of an Autophagy Defect in Smokers’ Alveolar Macrophages. The Journal of Immunology. 185(9). 5425–5435. 186 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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