Fenglou Mao

2.9k total citations · 1 hit paper
21 papers, 2.1k citations indexed

About

Fenglou Mao is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Fenglou Mao has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Fenglou Mao's work include Genomics and Phylogenetic Studies (12 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (7 papers). Fenglou Mao is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (7 papers). Fenglou Mao collaborates with scholars based in United States and China. Fenglou Mao's co-authors include Xizeng Mao, Ying Xu, Yanbin Yin, Jincai Yang, Xin Chen, Ying Xu, Victor Olman, Phuongan Dam, Luhua Lai and Lin Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Fenglou Mao

20 papers receiving 2.0k citations

Hit Papers

dbCAN: a web resource for automated carbohydrate-active e... 2012 2026 2016 2021 2012 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. dbCAN: a web resource for automated carbohydrate-active enzyme annotation
    2012 1.3k citations Yanbin Yin, Xizeng Mao et al. Nucleic Acids Research profile →

Peers

Fenglou Mao
Peizhi Wu China
Fu Lu United States
Jincai Yang China
Zhouxi Wang United States
Alexander Rosenberg Johansen Denmark
Curt R. Fischer United States
Jiyao Wang China
Felix Teufel Denmark
Emmanuel Quévillon United Kingdom
Iain Anderson United States
Peizhi Wu China
Fenglou Mao
Citations per year, relative to Fenglou Mao Fenglou Mao (= 1×) peers Peizhi Wu

Countries citing papers authored by Fenglou Mao

Since Specialization
Citations

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

Fields of papers citing papers by Fenglou Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenglou Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Fenglou Mao. A scholar is included among the top collaborators of Fenglou Mao 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 Fenglou Mao. Fenglou Mao 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.
Matukumalli, Lakshmi K., et al.. (2024). NIGMS Sandbox: a learning platform toward democratizing cloud computing for biomedical research. Briefings in Bioinformatics. 25(Supplement_1). 10 indexed citations
2.
Sun, Huiyan, Yi Zhou, Yiran Wu, et al.. (2020). Metabolic Reprogramming in Cancer Is Induced to Increase Proton Production. Cancer Research. 80(5). 1143–1155. 40 indexed citations
3.
Zhou, Chan, Fenglou Mao, Yanbin Yin, et al.. (2014). AST: An Automated Sequence-Sampling Method for Improving the Taxonomic Diversity of Gene Phylogenetic Trees. PLoS ONE. 9(6). e98844–e98844. 1 indexed citations
4.
Chen, Yong, Yang Li, Yunfeng Ding, et al.. (2013). Tracing Evolutionary Footprints to Identify Novel Gene Functional Linkages. PLoS ONE. 8(6). e66817–e66817. 2 indexed citations
5.
Mao, Xizeng, Qin Ma, Chuan‐Min Zhou, et al.. (2013). DOOR 2.0: presenting operons and their functions through dynamic and integrated views. Nucleic Acids Research. 42(D1). D654–D659. 127 indexed citations
6.
Xu, Kun, Xizeng Mao, Juan Cui, et al.. (2013). Elucidation of How Cancer Cells Avoid Acidosis through Comparative Transcriptomic Data Analysis. PLoS ONE. 8(8). e71177–e71177. 24 indexed citations
7.
Yin, Yanbin, Xizeng Mao, Jincai Yang, et al.. (2012). dbCAN: a web resource for automated carbohydrate-active enzyme annotation. Nucleic Acids Research. 40(W1). W445–W451. 1337 indexed citations breakdown →
8.
Mao, Fenglou, David Williams, Olga Zhaxybayeva, et al.. (2012). Quartet decomposition server: a platform for analyzing phylogenetic trees. BMC Bioinformatics. 13(1). 123–123. 6 indexed citations
9.
Chen, Yong, Fenglou Mao, Guojun Li, & Ying Xu. (2011). Genome-wide discovery of missing genes in biological pathways of prokaryotes. BMC Bioinformatics. 12(S1). S1–S1. 9 indexed citations
10.
Olman, Victor, Fenglou Mao, Hongwei Wu, & Ying Xu. (2009). Parallel Clustering Algorithm for Large Data Sets with Applications in Bioinformatics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(2). 344–352. 45 indexed citations
11.
Mao, Fenglou, Yanbin Yin, Fengfeng Zhou, et al.. (2009). pDAWG: An Integrated Database for Plant Cell Wall Genes. BioEnergy Research. 2(4). 209–216. 11 indexed citations
12.
Mao, Fenglou, et al.. (2008). DOOR: a database for prokaryotic operons. Nucleic Acids Research. 37(suppl_1). D459–D463. 289 indexed citations
13.
Wu, Hongwei, Fenglou Mao, Victor Olman, & Ying Xu. (2008). On application of directons to functional classification of genes in prokaryotes. Computational Biology and Chemistry. 32(3). 176–184. 3 indexed citations
14.
Wu, Hongwei, Fenglou Mao, Victor Olman, & Ying Xu. (2007). Hierarchical classification of functionally equivalent genes in prokaryotes. Nucleic Acids Research. 35(7). 2125–2140. 8 indexed citations
15.
Wu, Hongwei, et al.. (2005). Accurate prediction of orthologous gene groups in microbes. PubMed. 278. 73–79. 6 indexed citations
16.
Yan, Bo, Youxing Qu, Fenglou Mao, Victor Olman, & Ying Xu. (2005). PRIME: A Mass Spectrum Data Mining Tool for De Nova Sequencing and PTMs Identification. Journal of Computer Science and Technology. 20(4). 483–490. 4 indexed citations
17.
Wu, Hongwei, Fenglou Mao, Zhengchang Su, Victor Olman, & Ying Xu. (2005). Prediction of functional modules based on gene distributions in microbial genomes.. PubMed. 16(2). 247–59. 5 indexed citations
18.
Mao, Fenglou, Victor Olman, Ying Xu, Zhengchang Su, & David Chuang. (2004). Pathway mapping with operon information: an integer-programming method. 642–643.
19.
Jiang, Lin, Ying Gao, Fenglou Mao, Zhijie Liu, & Luhua Lai. (2001). Potential of mean force for protein–protein interaction studies. Proteins Structure Function and Bioinformatics. 46(2). 190–196. 97 indexed citations
20.
Liang, Shide, et al.. (2000). Grafting of protein-protein binding sites. Chinese Science Bulletin. 45(18). 1707–1712. 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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