Michael Wang

2.2k total citations
43 papers, 1.5k citations indexed

About

Michael Wang is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Michael Wang has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Biomedical Engineering and 5 papers in Epidemiology. Recurrent topics in Michael Wang's work include Nanopore and Nanochannel Transport Studies (5 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (4 papers). Michael Wang is often cited by papers focused on Nanopore and Nanochannel Transport Studies (5 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (4 papers). Michael Wang collaborates with scholars based in United States, China and Australia. Michael Wang's co-authors include Li‐Qun Gu, Dali Zheng, Yong Wang, Qiulin Tan, Yong Wang, Michael C. Perry, Carl E. Freter, David G. Menter, Scott M. Lippman and Hui‐wang Ai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology.

In The Last Decade

Michael Wang

41 papers receiving 1.5k citations

Peers

Michael Wang

EEE

IMMUN

Junping Jing United States

Suzanne Gaudet United States

Lu Jiang United States

Felix Bestvater Germany

Robyn P. Araujo Australia

M. Vetterlein Austria

Katarzyna A. Rejniak United States

Ann Lin United States

Chia‐Feng Tsai United States

Junping Jing United States

Michael Wang

779 ×0.8

180 ×0.4

235 ×0.6

141 ×1.1

EEE

166 ×1.7

IMMUN

Citations per year, relative to Michael Wang Michael Wang (= 1×) peers Junping Jing

Countries citing papers authored by Michael Wang

Since Specialization

Citations

This map shows the geographic impact of Michael 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 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 Wang more than expected).

Fields of papers citing papers by Michael Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wang

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

All Works

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20 of 20 papers shown

Wang, Michael, Prashant Kalvapalle, Michael Nute, et al.. (2024). Multiplexed Detection, Partitioning, and Persistence of Wild-Type and Vaccine Strains of Measles, Mumps, and Rubella Viruses in Wastewater. Environmental Science & Technology. 58(50). 21930–21941. 9 indexed citations

Wang, Michael, Nicolae Sapoval, Prashant Kalvapalle, et al.. (2024). Olivar: towards automated variant aware primer design for multiplex tiled amplicon sequencing of pathogens. Nature Communications. 15(1). 6306–6306. 1 indexed citations

Kumar, Prashant, Michael Wang, Ozan S. Kumru, et al.. (2023). Correlating physicochemical and biological properties to define critical quality attributes of a rAAV vaccine candidate. Molecular Therapy — Methods & Clinical Development. 30. 103–121. 6 indexed citations

Wu, Lucia R., Peng Dai, Michael Wang, et al.. (2022). Ensemble of nucleic acid absolute quantitation modules for copy number variation detection and RNA profiling. Nature Communications. 13(1). 1791–1791. 11 indexed citations

Zhang, Jinny Xuemeng, Boyan Yordanov, Alexander L. Gaunt, et al.. (2021). A deep learning model for predicting next-generation sequencing depth from DNA sequence. Nature Communications. 12(1). 4387–4387. 47 indexed citations

Dai, Peng, Lucia R. Wu, Sherry Xi Chen, et al.. (2021). Calibration-free NGS quantitation of mutations below 0.01% VAF. Nature Communications. 12(1). 6123–6123. 27 indexed citations

Wang, Yong, Kai Tian, Kent S. Gates, et al.. (2017). Nanolock–Nanopore Facilitated Digital Diagnostics of Cancer Driver Mutation in Tumor Tissue. ACS Sensors. 2(7). 975–981. 24 indexed citations

Wang, Michael, Fengdong Cheng, Jie Chen, et al.. (2017). A Novel Role for Histone Deacetylase 10 (HDAC10) in the Regulation of PD-L1 Expression and Immune Tolerance Mediated By Antigen Presenting Cells (APCs). Blood. 130. 3561–3561. 2 indexed citations

Wang, Michael, et al.. (2017). Monitoring thioredoxin redox with a genetically encoded red fluorescent biosensor. Nature Chemical Biology. 13(9). 1045–1052. 61 indexed citations

10.

Wang, Juexin, Joseph Luttrell, Ning Zhang, et al.. (2016). Exploring Human Diseases and Biological Mechanisms by Protein Structure Prediction and Modeling. Advances in experimental medicine and biology. 939. 39–61. 8 indexed citations

11.

Lundgren, Benjamin R., et al.. (2016). GcsR, a TyrR-Like Enhancer-Binding Protein, Regulates Expression of the Glycine Cleavage System in Pseudomonas aeruginosa PAO1. mSphere. 1(2). 21 indexed citations

12.

Wang, Michael. (2012). Single-Use Depth-Filtration System. Genetic Engineering & Biotechnology News. 32(7). 42–43. 2 indexed citations

13.

Gu, Li‐Qun, Meni Wanunu, Michael Wang, Larry McReynolds, & Yong Wang. (2012). Detection of miRNAs with a nanopore single-molecule counter. Expert Review of Molecular Diagnostics. 12(6). 573–584. 57 indexed citations

14.

Wang, Yong, Dali Zheng, Qiulin Tan, Michael Wang, & Li‐Qun Gu. (2011). Nanopore-based detection of circulating microRNAs in lung cancer patients. Nature Nanotechnology. 6(10). 668–674. 419 indexed citations

15.

Jørgensen, Trine N., Amy S. McKee, Michael Wang, et al.. (2007). Bim and Bcl-2 Mutually Affect the Expression of the Other in T Cells. The Journal of Immunology. 179(6). 3417–3424. 36 indexed citations

16.

Shi, Huidong, Michael Wang, & Charles W. Caldwell. (2007). CpG islands: their potential as biomarkers for cancer. Expert Review of Molecular Diagnostics. 7(5). 519–531. 45 indexed citations

17.

Lin, Xiaodong, Jeremy Murray, Michael Wang, et al.. (2006). Discovery of 2-pyrimidyl-5-amidothiophenes as potent inhibitors for AKT: Synthesis and SAR studies. Bioorganic & Medicinal Chemistry Letters. 16(16). 4163–4168. 30 indexed citations

18.

Zhu, Yanan, Bradley Jay Swanson, Michael Wang, et al.. (2004). Constitutive association of the proapoptotic protein Bim with Bcl-2-related proteins on mitochondria in T cells. Proceedings of the National Academy of Sciences. 101(20). 7681–7686. 104 indexed citations

19.

Wang, Michael, et al.. (2001). “Piecemeal” Necrosis: Renamed Troxis Necrosis. Experimental and Molecular Pathology. 71(2). 137–146. 12 indexed citations

20.

Cho, Aesop, et al.. (2001). New anti-MRSA cephalosporins with a basic aminopyridine at the C-7 position. Bioorganic & Medicinal Chemistry Letters. 11(2). 137–140. 9 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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