Shi Huang

7.1k total citations · 1 hit paper
95 papers, 4.3k citations indexed

About

Shi Huang is a scholar working on Molecular Biology, Periodontics and Physiology. According to data from OpenAlex, Shi Huang has authored 95 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 19 papers in Periodontics and 12 papers in Physiology. Recurrent topics in Shi Huang's work include Gut microbiota and health (43 papers), Oral microbiology and periodontitis research (18 papers) and Salivary Gland Disorders and Functions (9 papers). Shi Huang is often cited by papers focused on Gut microbiota and health (43 papers), Oral microbiology and periodontitis research (18 papers) and Salivary Gland Disorders and Functions (9 papers). Shi Huang collaborates with scholars based in China, United States and Hong Kong. Shi Huang's co-authors include Jian Xu, Xiaoquan Su, Rob Knight, Zheng Sun, Michael G.‏ Hadfield, Fang Yang, Li Wei, Heping Zhang, Fei Teng and Jiachao Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shi Huang

91 papers receiving 4.2k citations

Hit Papers

Age- and Sex-Dependent Patterns of Gut Microbial Diversit... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Huang China 35 2.2k 645 588 477 418 95 4.3k
Jin‐Hyung Lee South Korea 46 3.5k 1.6× 345 0.5× 191 0.3× 177 0.4× 1.1k 2.5× 156 6.7k
Yuzhen Ye United States 35 3.2k 1.4× 121 0.2× 506 0.9× 226 0.5× 322 0.8× 125 5.6k
Shawn R. Campagna United States 36 2.3k 1.0× 222 0.3× 122 0.2× 237 0.5× 205 0.5× 136 4.5k
Jeffrey S. McLean United States 40 2.6k 1.2× 1.3k 1.9× 85 0.1× 353 0.7× 401 1.0× 94 5.7k
Menghui Zhang China 28 4.3k 1.9× 124 0.2× 469 0.8× 1.7k 3.6× 641 1.5× 99 7.0k
Xuesong He United States 43 2.4k 1.1× 2.2k 3.4× 88 0.1× 536 1.1× 461 1.1× 112 5.5k
Henning Seedorf Singapore 24 3.9k 1.8× 100 0.2× 299 0.5× 587 1.2× 646 1.5× 44 6.3k
Hans J. Nelis Belgium 46 3.4k 1.6× 592 0.9× 203 0.3× 184 0.4× 727 1.7× 194 8.2k
Murray Hackett United States 34 2.3k 1.1× 776 1.2× 88 0.1× 132 0.3× 663 1.6× 71 5.1k
Kai Zhou China 36 1.6k 0.7× 143 0.2× 112 0.2× 374 0.8× 296 0.7× 206 4.8k

Countries citing papers authored by Shi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Huang. A scholar is included among the top collaborators of Shi 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 Shi Huang. Shi 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
2.
Song, Se Jin, Britta De Pessemier, Daniel McDonald, et al.. (2025). Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis. Communications Biology. 8(1). 1159–1159.
3.
Gao, Yunyun, et al.. (2025). Benchmarking short-read metagenomics tools for removing host contamination. GigaScience. 14. 7 indexed citations
4.
Yu, Jie, et al.. (2024). Maltodextrin-modified hyperoxic graphene oxide as potential matrix for one-step purification and immobilization of MBP-tagged proteins. Separation and Purification Technology. 353. 128591–128591. 4 indexed citations
5.
Feng, Yu‐Qi, et al.. (2024). Enhanced activity of enzymes encapsulated in spheres metal azolate framework-7 with defects. International Journal of Biological Macromolecules. 283(Pt 3). 137689–137689. 4 indexed citations
6.
Chen, Sitong, Lu Li, Qian Wen, et al.. (2024). A “Bridged” fused-ring energetic compound (TNBTP) with super heat-resistance and One-pot synthesis. Journal of Molecular Structure. 1325. 140964–140964. 1 indexed citations
7.
Huang, Shi, et al.. (2024). One Health and Oral Health: A Scoping Review to Inform Research and Present Challenges. JDR Clinical & Translational Research. 9(1_suppl). 88S–98S. 2 indexed citations
8.
Huang, Shi, et al.. (2023). Design, synthesis and mechanism research of novel algicide based on bioactive fragments synthesis strategy. Pesticide Biochemistry and Physiology. 191. 105344–105344. 6 indexed citations
9.
Gao, Guangqi, Tao Zhang, Jiachao Zhang, et al.. (2023). Lacticaseibacillus rhamnosus Probio-M9 enhanced the antitumor response to anti-PD-1 therapy by modulating intestinal metabolites. EBioMedicine. 91. 104533–104533. 60 indexed citations
10.
Huang, Shi, et al.. (2023). Application of omics technologies in cariology research: A critical review with bibliometric analysis. Journal of Dentistry. 141. 104801–104801. 5 indexed citations
11.
Ke, Mingjing, Shi Huang, Tao Lu, et al.. (2022). Development of a Potentially New Algaecide for Controlling Harmful Cyanobacteria Blooms Which is Ecologically Safe and Selective. Journal of Agricultural and Food Chemistry. 70(33). 10134–10143. 12 indexed citations
12.
Amir, Amnon, Xiaochang Huang, Yan Li, et al.. (2022). Diurnal and eating-associated microbial patterns revealed via high-frequency saliva sampling. Genome Research. 32(6). 1112–1123. 12 indexed citations
13.
Li, Shanshan, Shi Huang, Yi Guo, et al.. (2021). Geographic Variation Did Not Affect the Predictive Power of Salivary Microbiota for Caries in Children With Mixed Dentition. Frontiers in Cellular and Infection Microbiology. 11. 680288–680288. 10 indexed citations
14.
Jiang, Lingjing, Niina Haiminen, Anna Paola Carrieri, et al.. (2021). Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data. Biometrics. 78(3). 1155–1167. 9 indexed citations
15.
Ma, Chenchen, Chengcheng Zhang, Denghui Chen, et al.. (2021). Probiotic consumption influences universal adaptive mutations in indigenous human and mouse gut microbiota. Communications Biology. 4(1). 1198–1198. 17 indexed citations
16.
Ma, Chenchen, Sanjeev Wasti, Shi Huang, et al.. (2020). The gut microbiome stability is altered by probiotic ingestion and improved by the continuous supplementation of galactooligosaccharide. Gut Microbes. 12(1). 1785252–1785252. 56 indexed citations
17.
Cuesta‐Zuluaga, Jacobo de la, Scott T. Kelley, Yingfeng Chen, et al.. (2019). Age- and Sex-Dependent Patterns of Gut Microbial Diversity in Human Adults. mSystems. 4(4). 270 indexed citations breakdown →
18.
Sun, Zheng, Shi Huang, Pengfei Zhu, et al.. (2019). A Microbiome-Based Index for Assessing Skin Health and Treatment Effects for Atopic Dermatitis in Children. mSystems. 4(4). 24 indexed citations
19.
Teng, Fei, Fang Yang, Shi Huang, et al.. (2015). Prediction of Early Childhood Caries via Spatial-Temporal Variations of Oral Microbiota. Cell Host & Microbe. 18(3). 296–306. 185 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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