Michael N. Liang

2.2k total citations
17 papers, 1.9k citations indexed

About

Michael N. Liang is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Michael N. Liang has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Nephrology. Recurrent topics in Michael N. Liang's work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Michael N. Liang is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Michael N. Liang collaborates with scholars based in United States and Canada. Michael N. Liang's co-authors include George M. Whitesides, Emanuele Ostuni, Gerald B. Pier, Robert Chapman, Gloria Meluleni, Donald E. Ingber, J. Cooper McDonald, Shuichi Takayama, Rustem F. Ismagilov and Paul J. A. Kenis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Michael N. Liang

17 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael N. Liang United States 15 769 602 484 268 260 17 1.9k
Jon J. Ladd United States 18 678 0.9× 1.1k 1.8× 499 1.0× 251 0.9× 170 0.7× 25 2.1k
Agneta Askendal Sweden 24 597 0.8× 337 0.6× 673 1.4× 243 0.9× 84 0.3× 42 1.6k
Nidhi Nath United States 21 1.3k 1.7× 1.3k 2.2× 410 0.8× 418 1.6× 84 0.3× 47 2.9k
Bowen Li United States 34 1.1k 1.4× 1.4k 2.2× 562 1.2× 179 0.7× 242 0.9× 78 3.3k
Mihaela Delcea Germany 31 742 1.0× 609 1.0× 853 1.8× 188 0.7× 153 0.6× 83 2.8k
Sofia Svedhem Sweden 29 929 1.2× 1.3k 2.1× 422 0.9× 558 2.1× 62 0.2× 71 2.6k
Stefano Angioletti‐Uberti United Kingdom 20 516 0.7× 537 0.9× 518 1.1× 303 1.1× 39 0.1× 53 1.9k
Yogesh K. Katare India 13 718 0.9× 551 0.9× 203 0.4× 163 0.6× 265 1.0× 15 2.2k
Hana Vaisocherová Czechia 20 1.0k 1.3× 1.0k 1.7× 662 1.4× 469 1.8× 28 0.1× 27 2.1k
Emin Oroudjev United States 19 340 0.4× 938 1.6× 208 0.4× 133 0.5× 81 0.3× 35 2.3k

Countries citing papers authored by Michael N. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Michael N. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael N. Liang

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

All Works

17 of 17 papers shown
1.
Watson, Drew, Joshua Yang, Reuben D. Sarwal, et al.. (2019). A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury. Journal of Clinical Medicine. 8(4). 499–499. 30 indexed citations
2.
Watson, Drew, Joshua Yang, Reuben D. Sarwal, et al.. (2019). A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury. eScholarship (California Digital Library). 1 indexed citations
3.
Suh, K. Stephen, et al.. (2010). Ovarian cancer biomarkers for molecular biosensors and translational medicine. Expert Review of Molecular Diagnostics. 10(8). 1069–1083. 75 indexed citations
4.
Shahinas, Dea, Michael N. Liang, Alessandro Datti, & Dylan R. Pillai. (2010). A Repurposing Strategy Identifies Novel Synergistic Inhibitors of Plasmodium falciparum Heat Shock Protein 90. Journal of Medicinal Chemistry. 53(9). 3552–3557. 70 indexed citations
5.
Liang, Michael N., et al.. (2002). Sirolimus lowers myeloperoxidase and p-ANCA titers in a pediatric patient before kidney transplantation. American Journal of Kidney Diseases. 40(2). 407–410. 17 indexed citations
6.
Qian, Xiangping, Steven J. Metallo, Insung S. Choi, et al.. (2002). Arrays of Self-Assembled Monolayers for Studying Inhibition of Bacterial Adhesion. Analytical Chemistry. 74(8). 1805–1810. 83 indexed citations
7.
Ostuni, Emanuele, Robert Chapman, Michael N. Liang, et al.. (2001). Self-Assembled Monolayers That Resist the Adsorption of Proteins and the Adhesion of Bacterial and Mammalian Cells. Langmuir. 17(20). 6336–6343. 481 indexed citations
8.
Chapman, Robert, Emanuele Ostuni, Michael N. Liang, et al.. (2001). Polymeric Thin Films That Resist the Adsorption of Proteins and the Adhesion of Bacteria. Langmuir. 17(4). 1225–1233. 313 indexed citations
9.
Liang, Michael N., Stephen P. Smith, Steven J. Metallo, et al.. (2000). Measuring the forces involved in polyvalent adhesion of uropathogenic Escherichia coli to mannose-presenting surfaces. Proceedings of the National Academy of Sciences. 97(24). 13092–13096. 87 indexed citations
10.
Takayama, Shuichi, J. Cooper McDonald, Emanuele Ostuni, et al.. (1999). Patterning cells and their environments using multiple laminar fluid flows in capillary networks. Proceedings of the National Academy of Sciences. 96(10). 5545–5548. 426 indexed citations
11.
Rabinowitz, Joshua D., Marija Vrljic, Peter M. Kasson, et al.. (1998). Formation of a Highly Peptide-Receptive State of Class II MHC. Immunity. 9(5). 699–709. 114 indexed citations
12.
Lee, Christopher, Michael N. Liang, Keri Tate, et al.. (1998). Evidence That the Autoimmune Antigen Myelin Basic Protein (MBP) Ac1-9 Binds Towards One End of the Major Histocompatibility Complex (MHC) Cleft. The Journal of Experimental Medicine. 187(9). 1505–1516. 41 indexed citations
13.
Rabinowitz, Joshua D., Michael N. Liang, Keri Tate, et al.. (1997). Specific T cell recognition of kinetic isomers in the binding of peptide to class II major histocompatibility complex. Proceedings of the National Academy of Sciences. 94(16). 8702–8707. 25 indexed citations
14.
Liang, Michael N., Christopher Lee, Yu Xia, & Harden M. McConnell. (1996). Molecular Modeling and Design of Invariant Chain Peptides with Altered Dissociation Kinetics from Class II MHC. Biochemistry. 35(47). 14734–14742. 22 indexed citations
15.
Liang, Michael N., Craig Beeson, Karen Mason, & Harden M. McConnell. (1995). Kinetics of the reactions between the invariant chain (85–99) peptide and proteins of the murine class II MHC. International Immunology. 7(9). 1397–1404. 49 indexed citations
16.
Jackson, David Y., Michael N. Liang, Paul A. Bartlett, & Peter G. Schultz. (1992). Activation Parameters and Stereochemistry of an Antibody‐Catalyzed Claisen Rearrangement. Angewandte Chemie International Edition in English. 31(2). 182–183. 37 indexed citations
17.
Jackson, David Y., Michael N. Liang, Paul A. Bartlett, & Peter G. Schultz. (1992). Aktivierungsparameter und Stereochemie einer Antikörper‐katalysierten Claisen‐Umlagerung. Angewandte Chemie. 104(2). 196–198. 7 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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