Michael Zhao

2.0k total citations · 2 hit papers
17 papers, 1.6k citations indexed

About

Michael Zhao is a scholar working on Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michael Zhao has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Epidemiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michael Zhao's work include Lysosomal Storage Disorders Research (4 papers), Diabetes and associated disorders (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Michael Zhao is often cited by papers focused on Lysosomal Storage Disorders Research (4 papers), Diabetes and associated disorders (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Michael Zhao collaborates with scholars based in United States, Sweden and Netherlands. Michael Zhao's co-authors include Neil J. Hayward, Magdalene M. Moran, Christopher M. Fanger, Jayhong A. Chong, Jan Siemens, Diana M. Bautista, David Julius, Lamya S. Shihabuddin, Seng H. Cheng and Tatyana V. Taksir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Michael Zhao

15 papers receiving 1.5k citations

Hit Papers

TRPA1 mediates formalin-induced pain 2007 2026 2013 2019 2007 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Zhao United States 8 788 747 444 311 157 17 1.6k
Francesco De Logu Italy 29 936 1.2× 936 1.3× 506 1.1× 547 1.8× 226 1.4× 82 2.5k
Xuming Zhang United Kingdom 17 1.1k 1.4× 832 1.1× 580 1.3× 554 1.8× 176 1.1× 31 1.8k
Sangsu Bang United States 25 669 0.8× 941 1.3× 598 1.3× 607 2.0× 158 1.0× 39 2.4k
Maarten Gees Belgium 16 964 1.2× 349 0.5× 327 0.7× 415 1.3× 139 0.9× 24 1.5k
Cássia Regina Silva Brazil 23 308 0.4× 419 0.6× 196 0.4× 437 1.4× 136 0.9× 46 1.6k
I. Dragoni Italy 14 1.4k 1.8× 514 0.7× 673 1.5× 774 2.5× 131 0.8× 29 2.4k
Jooyoung Jung South Korea 19 1.6k 2.0× 1.1k 1.4× 566 1.3× 948 3.0× 188 1.2× 20 2.5k
Andrei Segal Belgium 15 1.0k 1.3× 313 0.4× 389 0.9× 426 1.4× 125 0.8× 24 1.6k
Noritaka Imamachi Japan 9 650 0.8× 609 0.8× 484 1.1× 327 1.1× 120 0.8× 20 1.4k
Todd Hricik United States 8 1.7k 2.1× 667 0.9× 781 1.8× 593 1.9× 208 1.3× 9 2.5k

Countries citing papers authored by Michael Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Michael Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zhao. A scholar is included among the top collaborators of Michael Zhao 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 Zhao. Michael Zhao 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.
Fabbrini, Elisa, et al.. (2025). Sustained Action of Imapextide, A Glucagon-Like Peptide-1 Receptor Antagonist, in Healthy Volunteers. The Journal of Clinical Endocrinology & Metabolism.
2.
Zhao, Michael, et al.. (2025). Role of meningeal lymphatic vessels in brain homeostasis. Frontiers in Immunology. 16. 1593630–1593630. 2 indexed citations
3.
Zhao, Lue Ping, Seth A. Cohen, Michael Zhao, et al.. (2023). Using Haplotype-Based Artificial Intelligence to Evaluate SARS-CoV-2 Novel Variants and Mutations. JAMA Network Open. 6(2). e230191–e230191. 1 indexed citations
5.
Zhao, Michael, et al.. (2020). Detecting acoustic backdoor transmission of inaudible messages using deep learning. 80–85. 2 indexed citations
6.
Zhao, Michael, et al.. (2020). Comparisons Between Text-Only and Multimedia Tweets on User Engagement. 5 indexed citations
7.
Zhao, Lue Ping, Annelie Carlsson, Helena Elding Larsson, et al.. (2017). Building and validating a prediction model for paediatric type 1 diabetes risk using next generation targeted sequencing of class II HLA genes. Diabetes/Metabolism Research and Reviews. 33(8). 2 indexed citations
8.
Zhao, Lue Ping, Michael Zhao, Annelie Carlsson, et al.. (2016). Next-Generation Sequencing Reveals That HLA-DRB3, -DRB4, and -DRB5 May Be Associated With Islet Autoantibodies and Risk for Childhood Type 1 Diabetes. Diabetes. 65(3). 710–718. 53 indexed citations
9.
Zhao, Lue Ping, et al.. (2016). An Object‐Oriented Regression for Building Disease Predictive Models with Multiallelic HLA Genes. Genetic Epidemiology. 40(4). 315–332. 9 indexed citations
10.
Zhao, Michael, et al.. (2016). 3D Printed Imaging Apparatus for Monitoring Intraocular Pressure Using Smartphone Camera. Scholar Commons (Santa Clara University).
11.
Camino, Donato del, Sarah Murphy, Lee Barrett, et al.. (2010). TRPA1 Contributes to Cold Hypersensitivity. Journal of Neuroscience. 30(45). 15165–15174. 235 indexed citations breakdown →
12.
Sidman, Richard L., Tatyana V. Taksir, Jonathan A. Fidler, et al.. (2008). Temporal Neuropathologic and Behavioral Phenotype of 6neo/6neoPompe Disease Mice. Journal of Neuropathology & Experimental Neurology. 67(8). 803–818. 74 indexed citations
13.
Ziegler, Robin J., Scott D. Bercury, Jonathan A. Fidler, et al.. (2008). Ability of Adeno-Associated Virus Serotype 8-Mediated Hepatic Expression of Acid α-Glucosidase to Correct the Biochemical and Motor Function Deficits of Presymptomatic and Symptomatic Pompe Mice. Human Gene Therapy. 19(6). 609–621. 50 indexed citations
14.
Zhao, Michael, Andreas Nowatzyk, Thomas Lu, & Daniel L. Farkas. (2008). Intelligent noncontact surgeon-computer interface using hand gesture recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6805. 68050U–68050U. 1 indexed citations
15.
Passini, Marco A., Jie Bu, Jonathan A. Fidler, et al.. (2007). Combination brain and systemic injections of AAV provide maximal functional and survival benefits in the Niemann-Pick mouse. Proceedings of the National Academy of Sciences. 104(22). 9505–9510. 57 indexed citations
16.
Bautista, Diana M., Jan Siemens, Michael Zhao, et al.. (2007). TRPA1 mediates formalin-induced pain. Proceedings of the National Academy of Sciences. 104(33). 13525–13530. 1022 indexed citations breakdown →
17.
Dodge, James C., Jennifer Clarke, Antonius Song, et al.. (2005). Gene transfer of human acid sphingomyelinase corrects neuropathology and motor deficits in a mouse model of Niemann-Pick type A disease. Proceedings of the National Academy of Sciences. 102(49). 17822–17827. 67 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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