Ming Huang

972 total citations
37 papers, 760 citations indexed

About

Ming Huang is a scholar working on Molecular Biology, Virology and Oncology. According to data from OpenAlex, Ming Huang has authored 37 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Virology and 8 papers in Oncology. Recurrent topics in Ming Huang's work include HIV Research and Treatment (11 papers), Extracellular vesicles in disease (7 papers) and MicroRNA in disease regulation (5 papers). Ming Huang is often cited by papers focused on HIV Research and Treatment (11 papers), Extracellular vesicles in disease (7 papers) and MicroRNA in disease regulation (5 papers). Ming Huang collaborates with scholars based in United States, China and Japan. Ming Huang's co-authors include Fred C. Tenover, Vincent C. Bond, Michael D. Powell, C N Baker, Shailendra N. Banerjee, Mahfuz Khan, Andrea Raymond, François Villinger, William Roth and Wendy S. Armstrong and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Analytical Chemistry.

In The Last Decade

Ming Huang

33 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Huang United States 14 394 240 160 123 120 37 760
Soham Gupta India 19 324 0.8× 562 2.3× 170 1.1× 177 1.4× 31 0.3× 55 1.1k
Gregory A. Wasserman United States 16 405 1.0× 326 1.4× 36 0.2× 233 1.9× 53 0.4× 23 867
James J. Kohler United States 20 283 0.7× 559 2.3× 355 2.2× 150 1.2× 94 0.8× 37 1.2k
Jin Su Song South Korea 16 491 1.2× 304 1.3× 23 0.1× 103 0.8× 73 0.6× 43 1.1k
Jane M. Knisely United States 9 342 0.9× 128 0.5× 19 0.1× 68 0.6× 65 0.5× 12 920
Henry C. Mwandumba United Kingdom 19 227 0.6× 738 3.1× 141 0.9× 272 2.2× 15 0.1× 77 1.3k
Raquel Martínez Switzerland 23 412 1.0× 703 2.9× 668 4.2× 245 2.0× 23 0.2× 40 1.5k
Elisa Nemes South Africa 22 402 1.0× 731 3.0× 206 1.3× 806 6.6× 27 0.2× 58 1.6k
K Shimada Japan 16 154 0.4× 630 2.6× 75 0.5× 95 0.8× 32 0.3× 39 1.2k
Lisa A. Weymouth United States 12 474 1.2× 136 0.6× 68 0.4× 40 0.3× 31 0.3× 17 864

Countries citing papers authored by Ming Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Huang. A scholar is included among the top collaborators of Ming Huang 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 Ming Huang. Ming Huang 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.
Zhong, Jieqiang, et al.. (2025). Iodoacetyl Tandem Mass Tag-Based Site-Specific Free Thiol Analysis (TMT-SiFTA) of Monoclonal Antibodies. Analytical Chemistry. 97(26). 13757–13761.
2.
Qin, Wen, Guili Yang, Yong‐Gang Yao, et al.. (2025). The haploid induction ability analysis of various mutation of OsMATL and OsDMPs in rice. BMC Biology. 23(1). 30–30.
3.
Zhong, Jieqiang, Ming Huang, Haibo Qiu, et al.. (2024). Simple endoglycosidase-assisted peptide mapping workflow for characterizing non-consensus n-glycosylation in therapeutic monoclonal antibodies. Journal of Pharmaceutical Sciences. 114(2). 1125–1132. 1 indexed citations
4.
Zhou, Zheng, Jia Guo, Sameer K. Tiwari, et al.. (2024). Characterization of a CXCR4 antagonist TIQ-15 with dual tropic HIV entry inhibition properties. PLoS Pathogens. 20(8). e1012448–e1012448. 2 indexed citations
6.
Huang, Ming, et al.. (2024). Engineering Escherichia coli to Efficiently Produce Colanic Acid with Low Molecular Mass and Viscosity. Journal of Agricultural and Food Chemistry. 72(28). 15811–15822. 3 indexed citations
7.
Dong, Han, et al.. (2023). KLF15 Transcriptionally Activates ATG14 to Promote Autophagy and Attenuate Damage of ox-LDL-Induced HAECs. Molecular Biotechnology. 66(1). 112–122.
8.
Li, Zhiliang, et al.. (2023). Circular RNA circ_0029589 promotes ox-LDL-induced endothelial cell injury through regulating RAB22A by serving as a sponge of miR-1197. Clinical Hemorheology and Microcirculation. 83(4). 359–376. 4 indexed citations
9.
Wang, Wenbin, et al.. (2020). Circ_0000526 Blocks the Progression of Breast Cancer by Sponging miR-492. Cancer Biotherapy and Radiopharmaceuticals. 36(6). 467–476. 11 indexed citations
10.
Powell, Michael D., Chamberlain I. Obialo, Ming Huang, et al.. (2018). Detection of HIV-1 and Human Proteins in Urinary Extracellular Vesicles from HIV+ Patients. Advances in Virology. 2018. 1–16. 22 indexed citations
11.
Russell, R I, Ming Huang, Yusuf Omosun, et al.. (2018). Chlamydia Infection-derived Exosomes Possess Immunomodulatory Properties Capable of Stimulating Dendritic Cell Maturation. Journal of Advances in Medicine and Medical Research. 25(1). 1–15. 5 indexed citations
12.
Huang, Ming, William Roth, Wendy S. Armstrong, et al.. (2016). Isolation of Exosomes from the Plasma of HIV-1 Positive Individuals. Journal of Visualized Experiments. 43 indexed citations
13.
Huang, Ming, Praveen K. Amancha, Wendy S. Armstrong, et al.. (2014). Association of Cytokines With Exosomes in the Plasma of HIV-1–Seropositive Individuals. The Journal of Infectious Diseases. 211(11). 1712–1716. 77 indexed citations
14.
Teng, Yue, et al.. (2014). Experimental and theoretical study on the binding of 2-mercaptothiazoline to bovine serum albumin. Journal of Luminescence. 161. 14–19. 6 indexed citations
15.
Huang, Ming, et al.. (2013). Innate cytokines associate with exosomes in plasma of HIV-1+ individuals (P6205). The Journal of Immunology. 190(Supplement_1). 118.26–118.26. 4 indexed citations
16.
Zhou, Jing, et al.. (2013). Efficacy of linezolid on gram-positive bacterial infection in elderly patients and the risk factors associated with thrombocytopenia. Pakistan Journal of Medical Sciences. 29(3). 837–42. 20 indexed citations
17.
Raymond, Andrea, et al.. (2010). HIV Type 1 Nef Is Released from Infected Cells in CD45 + Microvesicles and Is Present in the Plasma of HIV-Infected Individuals. AIDS Research and Human Retroviruses. 27(2). 167–178. 135 indexed citations
18.
Baker, C N, Ming Huang, & Fred C. Tenover. (1994). Optimizing testing of methicillin-resistant Staphylococcus species. Diagnostic Microbiology and Infectious Disease. 19(3). 167–170. 23 indexed citations
19.
Huang, Ming, et al.. (1993). Two percent sodium chloride is required for susceptibility testing of staphylococci with oxacillin when using agar-based dilution methods. Journal of Clinical Microbiology. 31(10). 2683–2688. 59 indexed citations
20.
Kink, John A., R E Byrne, Dinesh O. Shah, et al.. (1992). A Novel Semi-Automated Paramagnetic Microparticle Based Enzyme Immunoassay for Hepatitis C Virus: Its Application to Serologic Testing. Journal of Immunoassay. 13(3). 393–410. 3 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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