Michael M. Wang

3.9k total citations
91 papers, 2.9k citations indexed

About

Michael M. Wang is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Michael M. Wang has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 25 papers in Molecular Biology and 14 papers in Neurology. Recurrent topics in Michael M. Wang's work include Cerebrovascular and genetic disorders (26 papers), Cell Adhesion Molecules Research (13 papers) and Metalloenzymes and iron-sulfur proteins (9 papers). Michael M. Wang is often cited by papers focused on Cerebrovascular and genetic disorders (26 papers), Cell Adhesion Molecules Research (13 papers) and Metalloenzymes and iron-sulfur proteins (9 papers). Michael M. Wang collaborates with scholars based in United States, China and France. Michael M. Wang's co-authors include Randall R. Reed, Jimo Borjigin, Solomon H. Snyder, He Meng, Richard F. Keep, Soo Jung Lee, Anuska V. Andjelkovic, Svetlana M. Stamatovic, Guohua Xi and Tiecheng Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael M. Wang

90 papers receiving 2.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael M. Wang 1.1k 446 419 419 289 91 2.9k
Xinghuai Sun 1.4k 1.3× 277 0.6× 396 0.9× 460 1.1× 171 0.6× 333 6.9k
Wenxue Tang 1.5k 1.4× 172 0.4× 422 1.0× 760 1.8× 218 0.8× 93 3.2k
Michael K. E. Schäfer 1.1k 1.0× 542 1.2× 508 1.2× 578 1.4× 102 0.4× 96 2.8k
Omolara O. Ogunshola 1.1k 1.0× 241 0.5× 361 0.9× 768 1.8× 171 0.6× 55 2.8k
Eiichiro Nagata 2.1k 1.9× 485 1.1× 1.2k 2.9× 489 1.2× 195 0.7× 117 4.0k
Julie A. Ellison 1.2k 1.1× 232 0.5× 658 1.6× 785 1.9× 71 0.2× 24 2.9k
Mario Passalacqua 1.5k 1.4× 172 0.4× 511 1.2× 284 0.7× 101 0.3× 124 3.1k
Laura Korhonen 2.3k 2.1× 505 1.1× 1.3k 3.0× 401 1.0× 163 0.6× 110 5.0k
James D. Lindsey 2.4k 2.1× 197 0.4× 996 2.4× 539 1.3× 154 0.5× 88 5.0k
James E. Carroll 1.4k 1.3× 329 0.7× 507 1.2× 525 1.3× 67 0.2× 107 3.8k

Countries citing papers authored by Michael M. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Wang

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

All Works

20 of 20 papers shown
1.
Lee, Soo Jung, et al.. (2025). Light-chain split luciferase assay implicates pathological NOTCH3 thiol reactivity in inherited cerebral small vessel disease. Journal of Biological Chemistry. 301(3). 108224–108224.
2.
Kim, Youngsoo, et al.. (2023). Indolethylamine N-methyltransferase (INMT) is not essential for endogenous tryptamine-dependent methylation activity in rats. Scientific Reports. 13(1). 280–280. 14 indexed citations
3.
Chopp, Laura B., Yayi Gao, Jia Nie, et al.. (2023). Zfp281 and Zfp148 control CD4 + T cell thymic development and T H 2 functions. Science Immunology. 8(89). eadi9066–eadi9066. 4 indexed citations
4.
Lee, Soo Jung, et al.. (2023). Structural changes in NOTCH3 induced by CADASIL mutations: Role of cysteine and non-cysteine alterations. Journal of Biological Chemistry. 299(6). 104838–104838. 8 indexed citations
5.
Zhang, Xiaojie, et al.. (2022). Oligomerization, trans-reduction, and instability of mutant NOTCH3 in inherited vascular dementia. Communications Biology. 5(1). 331–331. 9 indexed citations
6.
Wang, Michael M., et al.. (2020). Binding of omeprazole to protein targets identified by monoclonal antibodies. PLoS ONE. 15(9). e0239464–e0239464. 12 indexed citations
7.
Liu, Tiecheng, et al.. (2019). Surge of corticocardiac coupling in SHRSP rats exposed to forebrain cerebral ischemia. Journal of Neurophysiology. 121(3). 842–852. 3 indexed citations
8.
Jiao, Jiao, Weihua Tian, Ping Qiu, et al.. (2018). Induced pluripotent stem cells with NOTCH1 gene mutation show impaired differentiation into smooth muscle and endothelial cells: Implications for bicuspid aortic valve-related aortopathy. Journal of Thoracic and Cardiovascular Surgery. 156(2). 515–522.e1. 25 indexed citations
9.
Tsai, Ellen, Melissa A. Gilbert, Christopher M. Grochowski, et al.. (2016). THBS2 Is a Candidate Modifier of Liver Disease Severity in Alagille Syndrome. Cellular and Molecular Gastroenterology and Hepatology. 2(5). 663–675.e2. 31 indexed citations
10.
Zhang, Xiaojie, Soo Jung Lee, Marian F. Young, & Michael M. Wang. (2015). The Small Leucine-Rich Proteoglycan BGN Accumulates in CADASIL and Binds to NOTCH3. Translational Stroke Research. 6(2). 148–155. 24 indexed citations
11.
Borjigin, Jimo, UnCheol Lee, Tiecheng Liu, et al.. (2013). Surge of neurophysiological coherence and connectivity in the dying brain. Proceedings of the National Academy of Sciences. 110(35). 14432–14437. 121 indexed citations
12.
Zhang, Xiaojie, He Meng, & Michael M. Wang. (2013). Collagen represses canonical Notch signaling and binds to Notch ectodomain. The International Journal of Biochemistry & Cell Biology. 45(7). 1274–1280. 19 indexed citations
13.
Shen, Zhu‐Xia, Chao Li, Ryan A. Frieler, et al.. (2012). Smooth muscle protein 22 alpha-Cre is expressed in myeloid cells in mice. Biochemical and Biophysical Research Communications. 422(4). 639–642. 26 indexed citations
14.
Meng, He, Guoan Chen, Xiaojie Zhang, et al.. (2011). Stromal LRP1 in Lung Adenocarcinoma Predicts Clinical Outcome. Clinical Cancer Research. 17(8). 2426–2433. 35 indexed citations
15.
Calinescu, Anda‐Alexandra, Tiecheng Liu, Michael M. Wang, & Jimo Borjigin. (2011). Transsynaptic Activity-Dependent Regulation of Axon Branching and Neurotrophin ExpressionIn Vivo. Journal of Neuroscience. 31(36). 12708–12715. 10 indexed citations
16.
17.
Meng, He, Tiecheng Liu, Jimo Borjigin, & Michael M. Wang. (2008). Ischemic stroke destabilizes circadian rhythms. SHILAP Revista de lepidopterología. 6(0). 9–9. 29 indexed citations
18.
Li, Hong, et al.. (2005). Sex differences in cell death. Annals of Neurology. 58(2). 317–321. 98 indexed citations
19.
Xu, Yun, Richard J. Traystman, Patricia D. Hurn, & Michael M. Wang. (2003). Neurite‐localized estrogen receptor‐α mediates rapid signaling by estrogen. Journal of Neuroscience Research. 74(1). 1–11. 46 indexed citations
20.
Wang, Michael M., Robert Y. L. Tsai, Karen Schrader, & Randall R. Reed. (1993). Genes Encoding Components of the Olfactory Signal Transduction Cascade Contain a DNA Binding Site That May Direct Neuronal Expression. Molecular and Cellular Biology. 13(9). 5805–5813. 18 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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