Pengli Cai

756 total citations
34 papers, 518 citations indexed

About

Pengli Cai is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Pengli Cai has authored 34 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Computational Theory and Mathematics. Recurrent topics in Pengli Cai's work include Microbial Metabolic Engineering and Bioproduction (14 papers), Computational Drug Discovery Methods (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). Pengli Cai is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (14 papers), Computational Drug Discovery Methods (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). Pengli Cai collaborates with scholars based in China, Switzerland and Sweden. Pengli Cai's co-authors include Dachuan Zhang, Qian‐Nan Hu, Chaoguang Tian, Bang Wang, Jingen Li, Yanhe Ma, Ye Tian, Aibo Wu, Yu Tian and Huikang Lin and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Pengli Cai

32 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengli Cai China 13 350 188 155 69 67 34 518
Xiaopu Yin China 15 439 1.3× 76 0.4× 123 0.8× 67 1.0× 11 0.2× 42 583
Huaxiang Deng China 13 352 1.0× 78 0.4× 100 0.6× 90 1.3× 17 0.3× 39 563
Le Yuan China 12 426 1.2× 134 0.7× 29 0.2× 27 0.4× 75 1.1× 27 534
Yongshuo Ma China 12 488 1.4× 70 0.4× 175 1.1× 59 0.9× 9 0.1× 16 685
Hemant Soni India 13 135 0.4× 161 0.9× 96 0.6× 196 2.8× 19 0.3× 32 389
Hua Zhao Singapore 8 656 1.9× 161 0.9× 47 0.3× 67 1.0× 8 0.1× 15 737
Sajid Iqbal Pakistan 11 148 0.4× 26 0.1× 115 0.7× 39 0.6× 24 0.4× 31 521
Diana Visser Netherlands 14 815 2.3× 263 1.4× 59 0.4× 145 2.1× 10 0.1× 18 1.1k
Namita Bhan United States 12 742 2.1× 136 0.7× 38 0.2× 128 1.9× 8 0.1× 13 841
Mélanie Loiodice France 14 185 0.5× 46 0.2× 442 2.9× 95 1.4× 108 1.6× 16 780

Countries citing papers authored by Pengli Cai

Since Specialization
Citations

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

Fields of papers citing papers by Pengli Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengli Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Pengli Cai. A scholar is included among the top collaborators of Pengli Cai 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 Pengli Cai. Pengli Cai 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.
Sun, Fan, Yingying Fan, Yingying Dai, et al.. (2025). Elucidating the occurrence patterns of Alternaria toxin tenuazonic acid in individual tomatoes through MALDI-MSI and LC-MS/MS. Food Chemistry. 488. 144912–144912.
2.
Zhang, Dachuan, Pengli Cai, Huikang Lin, et al.. (2024). Discovery of Toxin-Degrading Enzymes with Positive Unlabeled Deep Learning. ACS Catalysis. 14(5). 3336–3348. 22 indexed citations
3.
Cai, Pengli, et al.. (2024). High-throughput prediction of enzyme promiscuity based on substrate–product pairs. Briefings in Bioinformatics. 25(2). 12 indexed citations
4.
Liu, Rong, Jing Huang, Dingxi Liu, et al.. (2024). Machine learning based prediction models for analyzing risk factors in patients with acute abdominal pain: a retrospective study. Frontiers in Medicine. 11. 1354925–1354925. 4 indexed citations
5.
Cai, Pengli, et al.. (2023). SynBioTools: a one-stop facility for searching and selecting synthetic biology tools. BMC Bioinformatics. 24(1). 152–152. 6 indexed citations
6.
Cai, Pengli, Sheng Liu, Dachuan Zhang, & Qian‐Nan Hu. (2023). MCF2Chem: A manually curated knowledge base of biosynthetic compound production. SHILAP Revista de lepidopterología. 16(1). 167–167. 3 indexed citations
7.
Zhang, Dachuan, et al.. (2023). RDBridge: a knowledge graph of rare diseases based on large-scale text mining. Bioinformatics. 39(7). 2 indexed citations
8.
Cai, Pengli, et al.. (2022). BioBulkFoundary: a customized webserver for exploring biosynthetic potentials of bulk chemicals. Bioinformatics. 38(22). 5137–5138. 1 indexed citations
9.
Tian, Yu, Pengli Cai, Dachuan Zhang, et al.. (2020). novoPathFinder: a webserver of designing novel-pathway with integrating GEM-model. Nucleic Acids Research. 48(W1). W477–W487. 33 indexed citations
10.
Zhang, Dachuan, Ye Tian, Pengli Cai, et al.. (2020). FRCD: A comprehensive food risk component database with molecular scaffold, chemical diversity, toxicity, and biodegradability analysis. Food Chemistry. 318. 126470–126470. 23 indexed citations
11.
12.
Zhang, Dachuan, et al.. (2019). AdditiveChem: A comprehensive bioinformatics knowledge-base for food additive chemicals. Food Chemistry. 308. 125519–125519. 26 indexed citations
14.
Cheng, Jian, Xiaoxian Guo, Pengli Cai, et al.. (2017). Parallel Evolution of Chromatin Structure Underlying Metabolic Adaptation. Molecular Biology and Evolution. 34(11). 2870–2878. 5 indexed citations
15.
He, Ronglin, et al.. (2015). Mutagenesis and evaluation of cellulase properties and cellulose hydrolysis of Talaromyces piceus. World Journal of Microbiology and Biotechnology. 31(11). 1811–1819. 7 indexed citations
16.
Pei, Xue, Junqi Zhao, Pengli Cai, et al.. (2015). Heterologous expression of a GH3 β-glucosidase from Neurospora crassa in Pichia pastoris with high purity and its application in the hydrolysis of soybean isoflavone glycosides. Protein Expression and Purification. 119. 75–84. 21 indexed citations
17.
Wang, Bang, Pengli Cai, Wenliang Sun, et al.. (2015). A transcriptomic analysis of Neurospora crassa using five major crop residues and the novel role of the sporulation regulator rca-1 in lignocellulase production. Biotechnology for Biofuels. 8(1). 21–21. 22 indexed citations
18.
Cai, Pengli, Bang Wang, Yongsheng Jiang, et al.. (2014). The Putative Cellodextrin Transporter-like Protein CLP1 Is Involved in Cellulase Induction in Neurospora crassa. Journal of Biological Chemistry. 290(2). 788–796. 30 indexed citations
19.
Cai, Pengli, Bang Wang, Jingen Li, et al.. (2014). Evidence of a Critical Role for Cellodextrin Transporte 2 (CDT-2) in Both Cellulose and Hemicellulose Degradation and Utilization in Neurospora crassa. PLoS ONE. 9(2). e89330–e89330. 33 indexed citations
20.
Zhang, Min, et al.. (2005). MR diagnosis of articular cartilage injury in the knee: compared with arthroscopy. Zhonghua fangshexian yixue zazhi. 39(7). 731–735. 1 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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