Ming Hu

24.5k total citations · 3 hit papers
171 papers, 11.2k citations indexed

About

Ming Hu is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Bioengineering. According to data from OpenAlex, Ming Hu has authored 171 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Electrical and Electronic Engineering, 52 papers in Polymers and Plastics and 38 papers in Bioengineering. Recurrent topics in Ming Hu's work include Gas Sensing Nanomaterials and Sensors (54 papers), Transition Metal Oxide Nanomaterials (49 papers) and Analytical Chemistry and Sensors (38 papers). Ming Hu is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (54 papers), Transition Metal Oxide Nanomaterials (49 papers) and Analytical Chemistry and Sensors (38 papers). Ming Hu collaborates with scholars based in China, United States and Sweden. Ming Hu's co-authors include Bing Ren, Jun S. Liu, Siddarth Selvaraj, Jesse R. Dixon, Feng Yue, Yan Li, Yin Shen, Audrey Kim, Yuxiang Qin and Zhaohui Qin and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Ming Hu

159 papers receiving 11.0k citations

Hit Papers

Topological domains in ma... 2012 2026 2016 2021 2012 2020 2016 1000 2.0k 3.0k 4.0k

Author Peers

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

Author Last Decade Papers Cites
Ming Hu 6.2k 1.8k 1.6k 1.5k 1.2k 171 11.2k
Young Tae Kim 3.8k 0.6× 1.1k 0.6× 477 0.3× 414 0.3× 760 0.6× 751 21.6k
Hiroshi Nakayama 4.9k 0.8× 939 0.5× 219 0.1× 460 0.3× 220 0.2× 574 11.4k
Hiroshi Hayakawa 4.0k 0.6× 1.5k 0.8× 308 0.2× 711 0.5× 545 0.4× 497 13.8k
J.F. Hunt 6.2k 1.0× 244 0.1× 446 0.3× 1.4k 1.0× 475 0.4× 224 13.7k
Giuseppe Micali 677 0.1× 881 0.5× 214 0.1× 578 0.4× 529 0.4× 421 7.2k
Zhiling Zhang 7.0k 1.1× 1.9k 1.0× 155 0.1× 440 0.3× 752 0.6× 486 16.8k
Kevin Braeckmans 7.8k 1.3× 616 0.3× 182 0.1× 840 0.6× 356 0.3× 290 16.4k
Paul J. Utz 4.8k 0.8× 543 0.3× 124 0.1× 637 0.4× 273 0.2× 167 10.5k
Tejal A. Desai 3.1k 0.5× 1.5k 0.8× 105 0.1× 607 0.4× 271 0.2× 299 15.9k
J. Christopher Love 5.9k 0.9× 6.3k 3.4× 95 0.1× 298 0.2× 309 0.2× 203 19.6k

Countries citing papers authored by Ming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Hu. A scholar is included among the top collaborators of Ming Hu 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 Hu. Ming Hu 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.
Hu, Ming, Jan Gralla, Ying Zhou, et al.. (2025). Non-Catalytic Inhibitors of the p38/MK2 Interface: Repurposing Approved Drugs to Target Neuroinflammation in Alzheimer’s Disease. Journal of Medicinal Chemistry. 68(24). 25866–25880.
2.
Gao, Shuang, Lulu Fan, Huiyan Wang, et al.. (2025). NCOA5 induces sorafenib resistance in hepatocellular carcinoma by inhibiting ferroptosis. Cell Death Discovery. 11(1). 215–215. 1 indexed citations
4.
Bi, Xinyu, Min Li, Ming Hu, et al.. (2025). ZBP1-mediated PANoptosis is a crucial lethal form in diverse keratinocyte death modalities in UVB-induced skin injury. Cell Death and Disease. 16(1). 44–44. 6 indexed citations
5.
Fletez‐Brant, Kipper, Yunjiang Qiu, David U. Gorkin, Ming Hu, & Kasper D. Hansen. (2024). Removing unwanted variation between samples in Hi-C experiments. Briefings in Bioinformatics. 25(3). 3 indexed citations
6.
Zhao, Peng, et al.. (2024). Biomimetic nanozyme-based electrochemical sensor integrated with microfluidic cell for on-site uric acid detection. Microchemical Journal. 207. 112114–112114. 4 indexed citations
7.
Liu, Zhen, Jie Yang, Bingjie Yang, et al.. (2024). Effect of ubiquinol on electrophysiology during high-altitude acclimatization and de-acclimatization: A substudy of the Shigatse CARdiorespiratory fitness (SCARF) randomized clinical trial. International Journal of Cardiology. 401. 131817–131817. 1 indexed citations
8.
Hu, Ming, et al.. (2024). Prognostic impact of CONUT score in older patients with chronic heart failure. BMC Geriatrics. 24(1). 738–738. 2 indexed citations
9.
Zhang, Ze Ping, Hongwei Tian, Ming Hu, et al.. (2024). An initial exploratory clinical study and outcome assessment of gastrointestinal surgeries using advanced robotic-assisted techniques. Surgical Endoscopy. 39(2). 766–775. 3 indexed citations
10.
Xie, Meili, Ming Hu, Xiaobo Cui, et al.. (2023). Genome-wide characterization of ubiquitin-conjugating enzyme gene family explores its genetic effects on the oil content and yield of Brassica napus. Frontiers in Plant Science. 14. 1118339–1118339. 8 indexed citations
11.
He, Jin, Zhuo Wang, Yongfeng Wang, et al.. (2022). A systematic review and meta-analysis of long noncoding RNA 00963 expression and prognosis and clinicopathological characteristic in human cancers. Pathology - Research and Practice. 242. 154291–154291. 2 indexed citations
12.
Jurić, Ivan, Miao Yu, Armen Abnousi, et al.. (2019). MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments. PLoS Computational Biology. 15(4). e1006982–e1006982. 66 indexed citations
13.
Hu, Ming, Caiwen Han, Tiankang Guo, et al.. (2019). The safety and effectiveness of the Da Vinci robot "3+ 2" mode in radical gastrectomy. Zhonghua putong waike zazhi. 34(10). 855–858. 1 indexed citations
14.
Wang, Yanli, Fan Song, Bo Zhang, et al.. (2018). The 3D Genome Browser: A Web-Based Browser For Visualizing 3D Genome Organization And Long-Range Chromatin Interactions. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
15.
Yan, Wenjun & Ming Hu. (2018). Vertically Aligned WO3–CuO Core–Shell Nanorod Arrays for Ultrasensitive NH3 Detection. NANO. 13(10). 1850122–1850122. 5 indexed citations
16.
Martin, Joshua S., Zheng Xu, Alex P. Reiner, et al.. (2017). HUGIn: Hi-C Unifying Genomic Interrogator. Bioinformatics. 33(23). 3793–3795. 37 indexed citations
17.
Li, Mingda, Ming Hu, Wenjun Yan, et al.. (2013). NO2 sensing performance of p-type intermediate size porous silicon by a galvanostatic electrochemical etching method. Electrochimica Acta. 113. 354–360. 21 indexed citations
18.
Ma, Shuangyun, Ming Hu, Peng Zeng, et al.. (2013). Synthesis and low-temperature gas sensing properties of tungsten oxide nanowires/porous silicon composite. Sensors and Actuators B Chemical. 192. 341–349. 47 indexed citations
19.
Liang, Jiran, et al.. (2011). Infrared transition properties of vanadium dioxide thin films across semiconductor‐metal transition. Rare Metals. 30(3). 247–251. 12 indexed citations
20.
Hu, Ming, Jindan Yu, Jeremy M. G. Taylor, Arul M. Chinnaiyan, & Zhaohui Qin. (2010). On the detection and refinement of transcription factor binding sites using ChIP-Seq data. Nucleic Acids Research. 38(7). 2154–2167. 82 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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