Pengshuo Yang

786 total citations
23 papers, 467 citations indexed

About

Pengshuo Yang is a scholar working on Molecular Biology, Ecology and Immunology. According to data from OpenAlex, Pengshuo Yang has authored 23 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Ecology and 3 papers in Immunology. Recurrent topics in Pengshuo Yang's work include Gut microbiota and health (10 papers), Microbial Community Ecology and Physiology (7 papers) and Genomics and Phylogenetic Studies (7 papers). Pengshuo Yang is often cited by papers focused on Gut microbiota and health (10 papers), Microbial Community Ecology and Physiology (7 papers) and Genomics and Phylogenetic Studies (7 papers). Pengshuo Yang collaborates with scholars based in China, United States and Hong Kong. Pengshuo Yang's co-authors include Kang Ning, Maozhen Han, Chaofang Zhong, Chaoyun Chen, Shaojun Yu, Xue Zhu, Hongjun Li, Kun Yang, Yuguo Zha and Qunwei Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pengshuo Yang

22 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengshuo Yang China 14 289 109 62 49 33 23 467
Chaofang Zhong China 13 362 1.3× 103 0.9× 70 1.1× 45 0.9× 44 1.3× 28 584
Laura Lebrun Luxembourg 10 448 1.6× 245 2.2× 57 0.9× 21 0.4× 39 1.2× 15 680
Jay Siddharth Switzerland 9 292 1.0× 74 0.7× 154 2.5× 46 0.9× 45 1.4× 11 532
Xi Yu China 13 264 0.9× 51 0.5× 87 1.4× 18 0.4× 39 1.2× 25 490
Se‐Young Kim South Korea 13 308 1.1× 45 0.4× 46 0.7× 42 0.9× 16 0.5× 26 432
Balasubramanian Ganesan United States 18 456 1.6× 96 0.9× 92 1.5× 13 0.3× 16 0.5× 25 944
Armand E. K. Dichosa United States 10 259 0.9× 64 0.6× 43 0.7× 13 0.3× 52 1.6× 18 396
Ye Sun China 9 183 0.6× 59 0.5× 29 0.5× 17 0.3× 15 0.5× 28 353
Sangeeta Banerji Germany 14 233 0.8× 65 0.6× 24 0.4× 86 1.8× 22 0.7× 21 637
Dijun Zhang China 12 200 0.7× 30 0.3× 91 1.5× 29 0.6× 21 0.6× 28 386

Countries citing papers authored by Pengshuo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pengshuo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengshuo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengshuo Yang. A scholar is included among the top collaborators of Pengshuo Yang 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 Pengshuo Yang. Pengshuo Yang 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.
Zhu, Xue, Liangqiang Chen, Pengshuo Yang, et al.. (2025). Microbiome catalog and dynamics of the Chinese liquor fermentation process. Bioresource Technology. 431. 132620–132620. 1 indexed citations
2.
Cheng, Mingyue, Shuai Luo, Chuanqi Jiang, et al.. (2024). A genome and gene catalog of the aquatic microbiomes of the Tibetan Plateau. Nature Communications. 15(1). 1438–1438. 26 indexed citations
3.
Zhu, Xue, Pengshuo Yang, Huimin Wei, et al.. (2023). Microbial biogeochemical cycling reveals the sustainability of the rice-crayfish co-culture model. iScience. 26(5). 106769–106769. 4 indexed citations
4.
Yang, Pengshuo, Jialiang Yang, Haixia Long, et al.. (2023). MicroEXPERT: Microbiome profiling platform with cross‐study metagenome‐wide association analysis functionality. SHILAP Revista de lepidopterología. 2(4). e131–e131. 1 indexed citations
5.
Zhou, Qian, Xue Zhu, Yangzhen Li, et al.. (2022). Intestinal microbiome-mediated resistance against vibriosis for Cynoglossus semilaevis. Microbiome. 10(1). 153–153. 24 indexed citations
6.
Yang, Pengshuo, Maozhen Han, Junjie Xu, et al.. (2022). Analysis of antibiotic resistance genes reveals their important roles in influencing the community structure of ocean microbiome. The Science of The Total Environment. 823. 153731–153731. 14 indexed citations
7.
Zhu, Xue, Qi Yao, Pengshuo Yang, et al.. (2022). Multi-omics approaches for in-depth understanding of therapeutic mechanism for Traditional Chinese Medicine. Frontiers in Pharmacology. 13. 1031051–1031051. 40 indexed citations
8.
Zha, Yuguo, Hui Chong, Pengshuo Yang, & Kang Ning. (2022). Microbial Dark Matter: From Discovery to Applications. Genomics Proteomics & Bioinformatics. 20(5). 867–881. 32 indexed citations
9.
Yang, Pengshuo, Jidong Lang, Hongjun Li, et al.. (2022). TCM‐Suite: A comprehensive and holistic platform for Traditional Chinese Medicine component identification and network pharmacology analysis. SHILAP Revista de lepidopterología. 1(4). e47–e47. 22 indexed citations
10.
Yang, Pengshuo & Kang Ning. (2022). How much metagenome data is needed for protein structure prediction: The advantages of targeted approach from the ecological and evolutionary perspectives. SHILAP Revista de lepidopterología. 1(1). e9–e9. 4 indexed citations
11.
Bai, Tao, Xue Zhu, Xiang Zhou, et al.. (2021). Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany. Frontiers in Artificial Intelligence. 4. 672050–672050. 4 indexed citations
12.
Han, Maozhen, Kun Yang, Pengshuo Yang, et al.. (2020). Stratification of athletes’ gut microbiota: the multifaceted hubs associated with dietary factors, physical characteristics and performance. Gut Microbes. 12(1). 1842991–1842991. 72 indexed citations
13.
Yang, Pengshuo, et al.. (2020). Correlation-Centric Network (CCN) representation for microbial co-occurrence patterns: new insights for microbial ecology. NAR Genomics and Bioinformatics. 2(2). lqaa042–lqaa042. 4 indexed citations
14.
Wang, Yan, Pengshuo Yang, Chengxin Zhang, et al.. (2019). Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families. Genome biology. 20(1). 229–229. 28 indexed citations
15.
Wang, Xi, Yan Gao, Chaoyun Chen, et al.. (2019). Using QC-Blind for Quality Control and Contamination Screening of Bacteria DNA Sequencing Data Without Reference Genome. Frontiers in Microbiology. 10. 1560–1560. 5 indexed citations
16.
Chen, Chaoyun, Maozhen Han, Yuguo Zha, et al.. (2019). The Seasonal Dynamics and the Influence of Human Activities on Campus Outdoor Microbial Communities. Frontiers in Microbiology. 10. 1579–1579. 9 indexed citations
17.
Yang, Pengshuo, Shaojun Yu, Lin Cheng, & Kang Ning. (2019). Meta-network: optimized species-species network analysis for microbial communities. BMC Genomics. 20(S2). 187–187. 18 indexed citations
18.
Han, Maozhen, Pengshuo Yang, Chaofang Zhong, & Kang Ning. (2018). The Human Gut Virome in Hypertension. Frontiers in Microbiology. 9. 3150–3150. 46 indexed citations
19.
Zhong, Chaofang, Maozhen Han, Shaojun Yu, et al.. (2018). Pan-genome analyses of 24 Shewanella strains re-emphasize the diversification of their functions yet evolutionary dynamics of metal-reducing pathway. Biotechnology for Biofuels. 11(1). 193–193. 47 indexed citations
20.
Han, Maozhen, Pengshuo Yang, Hao Zhou, Hongjun Li, & Kang Ning. (2016). Metagenomics and Single-Cell Omics Data Analysis for Human Microbiome Research. Advances in experimental medicine and biology. 939. 117–137.

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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