Mo Hu

881 total citations
24 papers, 509 citations indexed

About

Mo Hu is a scholar working on Molecular Biology, Endocrinology and Food Science. According to data from OpenAlex, Mo Hu has authored 24 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology and 6 papers in Food Science. Recurrent topics in Mo Hu's work include Salmonella and Campylobacter epidemiology (6 papers), Bacteriophages and microbial interactions (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Mo Hu is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Bacteriophages and microbial interactions (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Mo Hu collaborates with scholars based in China, United States and Austria. Mo Hu's co-authors include Xiaoyun Liu, Kaiwen Yu, Jiaqi Fu, Yanhua Liu, Fan Zhou, Wubin Shan, Yufei Yang, Yifan Chen, Yanhua Liu and Qian Liu and has published in prestigious journals such as The Journal of Physical Chemistry B, Chemical Communications and Scientific Reports.

In The Last Decade

Mo Hu

23 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo Hu China 14 216 96 81 81 76 24 509
Lucia Grassi Italy 14 400 1.9× 88 0.9× 141 1.7× 47 0.6× 53 0.7× 33 874
Jacek Stupak Canada 17 350 1.6× 52 0.5× 106 1.3× 59 0.7× 79 1.0× 37 873
Marcelo Lancellotti Brazil 21 306 1.4× 110 1.1× 129 1.6× 155 1.9× 37 0.5× 65 1.1k
Bartłomiej Dudek Poland 13 83 0.4× 71 0.7× 52 0.6× 39 0.5× 31 0.4× 44 441
Marta Putrinš Estonia 13 289 1.3× 28 0.3× 37 0.5× 101 1.2× 116 1.5× 23 736
Rimi Chowdhury United States 11 80 0.4× 99 1.0× 21 0.3× 67 0.8× 29 0.4× 18 380
Jean-Marie Lacroix France 18 409 1.9× 62 0.6× 29 0.4× 105 1.3× 111 1.5× 32 909
Andréa L. Pimenta Brazil 15 227 1.1× 30 0.3× 80 1.0× 72 0.9× 33 0.4× 27 584
Charlotte C. David Belgium 12 213 1.0× 75 0.8× 25 0.3× 74 0.9× 70 0.9× 15 595
Seung Won Shin South Korea 18 325 1.5× 75 0.8× 23 0.3× 89 1.1× 74 1.0× 66 1.1k

Countries citing papers authored by Mo Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mo Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Hu. A scholar is included among the top collaborators of Mo 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 Mo Hu. Mo 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.
Li, Wendong, et al.. (2024). Label-Free Quantitative Proteomics Analysis of COVID-19 Vaccines by Nano LC-HRMS. Vaccines. 12(9). 1055–1055.
2.
Hu, Mo, et al.. (2021). Epoxy acrylate-based shape memory polymer via 3D printing. eXPRESS Polymer Letters. 15(12). 1126–1134. 6 indexed citations
3.
Shan, Wubin, et al.. (2020). 4D printing of shape memory polymer via liquid crystal display (LCD) stereolithographic 3D printing. Materials Research Express. 7(10). 105305–105305. 54 indexed citations
4.
He, Lei, Hongwei Meng, Qian Liu, et al.. (2018). Distinct virulent network between healthcare- and community-associated Staphylococcus aureus based on proteomic analysis. Clinical Proteomics. 15(1). 2–2. 5 indexed citations
5.
Cheng, Sen, Lu Wang, Qian Liu, et al.. (2017). Identification of a Novel Salmonella Type III Effector by Quantitative Secretome Profiling. Molecular & Cellular Proteomics. 16(12). 2219–2228. 26 indexed citations
6.
Fu, Jiaqi, Linlu Qi, Mo Hu, et al.. (2017). Salmonella proteomics under oxidative stress reveals coordinated regulation of antioxidant defense with iron metabolism and bacterial virulence. Journal of Proteomics. 157. 52–58. 22 indexed citations
7.
Liu, Yanhua, Qian Liu, Linlu Qi, et al.. (2017). Temporal Regulation of a Salmonella Typhimurium Virulence Factor by the Transcriptional Regulator YdcR. Molecular & Cellular Proteomics. 16(9). 1683–1693. 9 indexed citations
8.
Liu, Qian, Mo Hu, Won-Sik Yeo, et al.. (2017). Rewiring of the FtsH regulatory network by a single nucleotide change in saeS of Staphylococcus aureus. Scientific Reports. 7(1). 8456–8456. 12 indexed citations
9.
Qi, Linlu, Mo Hu, Jiaqi Fu, et al.. (2017). Quantitative proteomic analysis of host epithelial cells infected by Salmonella enterica serovar Typhimurium. PROTEOMICS. 17(13-14). 13 indexed citations
10.
Dai, Yingxin, Yanan Wang, Qian Liu, et al.. (2017). A Novel ESAT-6 Secretion System-Secreted Protein EsxX of Community-Associated Staphylococcus aureus Lineage ST398 Contributes to Immune Evasion and Virulence. Frontiers in Microbiology. 8. 17 indexed citations
11.
Ma, Jie, et al.. (2016). Design of Smart City Information Ecological Chain Based on Multi-subject Collaboration. 34(12). 81. 1 indexed citations
12.
Wang, Yanan, Mo Hu, Qian Liu, et al.. (2016). Role of the ESAT-6 secretion system in virulence of the emerging community-associated Staphylococcus aureus lineage ST398. Scientific Reports. 6(1). 25163–25163. 40 indexed citations
13.
Liu, Yanhua, Kaiwen Yu, Fan Zhou, et al.. (2016). Quantitative Proteomics Charts the Landscape of Salmonella Carbon Metabolism within Host Epithelial Cells. Journal of Proteome Research. 16(2). 788–797. 22 indexed citations
14.
Zhao, Shan, Jianye Dai, Mo Hu, et al.. (2016). Photo-induced coupling reactions of tetrazoles with carboxylic acids in aqueous solution: application in protein labelling. Chemical Communications. 52(25). 4702–4705. 66 indexed citations
15.
Yang, Yufei, et al.. (2015). Mass spectrometry-based proteomic approaches to study pathogenic bacteria-host interactions. Protein & Cell. 6(4). 265–274. 38 indexed citations
16.
Liu, Yanhua, Mo Hu, Kaiwen Yu, et al.. (2015). Proteomic Analyses of Intracellular Salmonella enterica Serovar Typhimurium Reveal Extensive Bacterial Adaptations to Infected Host Epithelial Cells. Infection and Immunity. 83(7). 2897–2906. 56 indexed citations
17.
Hu, Mo, Yanhua Liu, Kaiwen Yu, & Xiaoyun Liu. (2014). Decreasing the amount of trypsin in in-gel digestion leads to diminished chemical noise and improved protein identifications. Journal of Proteomics. 109. 16–25. 46 indexed citations
18.
Yao, Qing, Qiuhe Lu, Xiaobo Wan, et al.. (2014). A structural mechanism for bacterial autotransporter glycosylation by a dodecameric heptosyltransferase family. eLife. 3. 25 indexed citations
19.
Gao, Zhao, Wenbo Zhao, Yong Chen, et al.. (2011). Simulation and experimental verification of the dependence of collection efficiency on the shape of a dual micropipette. Science China Chemistry. 54(8). 1311–1318. 5 indexed citations
20.
Hu, Mo. (1981). ON THE USE OF CMOS TERNARY GATES TO REALIZE A SELF-CHECKING BINARY LOGIC SYSTEM. 4 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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