Renxiang Yan

6.6k total citations
32 papers, 528 citations indexed

About

Renxiang Yan is a scholar working on Molecular Biology, Biotechnology and Computational Theory and Mathematics. According to data from OpenAlex, Renxiang Yan has authored 32 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Biotechnology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Renxiang Yan's work include Machine Learning in Bioinformatics (16 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (8 papers). Renxiang Yan is often cited by papers focused on Machine Learning in Bioinformatics (16 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Phylogenetic Studies (8 papers). Renxiang Yan collaborates with scholars based in China, United States and Australia. Renxiang Yan's co-authors include Xiaofeng Wang, Yang Zhang, Jianyi Yang, Dong Xu, Juan Lin, Xiuyun Ye, Guozeng Wang, Ziding Zhang, Jiangning Song and Chuan Wang and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Renxiang Yan

29 papers receiving 522 citations

Peers

Renxiang Yan

BIOTE

CTM

Jiří Hon Czechia

Artur Piróg Poland

Raamesh Deshpande United States

Leonardo Henrique França de Lima Brazil

G. Golan Israel

Clement Angkawidjaja Japan

Rahil Taujale United States

Nicolás Palópoli Argentina

David Talavera United Kingdom

Dominique Fink Germany

Jiří Hon Czechia

Renxiang Yan

453 ×1.0

38 ×0.4

BIOTE

52 ×0.9

40 ×0.8

22 ×0.5

CTM

Citations per year, relative to Renxiang Yan Renxiang Yan (= 1×) peers Jiří Hon

Countries citing papers authored by Renxiang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Renxiang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renxiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Renxiang Yan. A scholar is included among the top collaborators of Renxiang Yan 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 Renxiang Yan. Renxiang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Xin, Weiqing Zeng, Renxiang Yan, et al.. (2025). Stereoselective synthesis of (S)-3-Hydroxy-3-phenylpropionate with a novel carbonyl reductase identified from a soda lake metagenome. International Journal of Biological Macromolecules. 335(Pt 1). 149193–149193.

Yan, Renxiang, et al.. (2023). Improving thermostability of Bacillus amyloliquefaciens alpha-amylase by multipoint mutations. Biochemical and Biophysical Research Communications. 653. 69–75. 11 indexed citations

Wang, Xiaofeng, Renxiang Yan, & Yongji Wang. (2021). Computational identification of human ubiquitination sites using convolutional and recurrent neural networks. Molecular Omics. 17(6). 948–955. 3 indexed citations

Wang, Xiaofeng, Renxiang Yan, Yongzi Chen, & Yongji Wang. (2021). Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks. Plant Molecular Biology. 105(6). 601–610. 8 indexed citations

Li, Jincheng, et al.. (2020). Expression and characterization of a chitinase from Serratia marcescens. Protein Expression and Purification. 171. 105613–105613. 16 indexed citations

Wang, Xiaofeng & Renxiang Yan. (2020). DDAPRED: a computational method for predicting drug repositioning using regularized logistic matrix factorization. Journal of Molecular Modeling. 26(3). 60–60. 6 indexed citations

Yan, Renxiang, et al.. (2019). Prediction of zinc-binding sites using multiple sequence profiles and machine learning methods. Molecular Omics. 15(3). 205–215. 7 indexed citations

Zhang, Yajiao, Bin Lang, Zhihua Li, et al.. (2019). Truncation of κ‑carrageenase for higher κ‑carrageenan oligosaccharides yield with improved enzymatic characteristics. International Journal of Biological Macromolecules. 130. 958–968. 18 indexed citations

Wang, Guozeng, Juan Lin, Yun Lin, et al.. (2019). A New Extremely Halophilic, Calcium-Independent and Surfactant-Resistant Alpha-Amylase from Alkalibacterium sp. SL3. Journal of Microbiology and Biotechnology. 29(5). 765–775. 10 indexed citations

10.

Su, Bingmei, Xinqi Xu, Renxiang Yan, Yong Xie, & Juan Lin. (2019). Mutagenesis on the surface of a β-agarase from Vibrio sp. ZC-1 increased its thermo-stability. Enzyme and Microbial Technology. 127. 22–31. 12 indexed citations

11.

Wang, Xiaofeng & Renxiang Yan. (2018). RFAthM6A: a new tool for predicting m6A sites in Arabidopsis thaliana. Plant Molecular Biology. 96(3). 327–337. 58 indexed citations

12.

Wang, Guozeng, Jingjing Wu, Renxiang Yan, Juan Lin, & Xiuyun Ye. (2017). A Novel Multi-domain High Molecular, Salt-Stable Alkaline Xylanase from Alkalibacterium sp. SL3. Frontiers in Microbiology. 7. 2120–2120. 16 indexed citations

13.

Wang, Xiaofeng, Renxiang Yan, Jinyan Li, & Jiangning Song. (2016). SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sites. Molecular BioSystems. 12(9). 2849–2858. 31 indexed citations

14.

Wang, Xiaofeng, Renxiang Yan, & Jiangning Song. (2016). DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites. Scientific Reports. 6(1). 23510–23510. 18 indexed citations

15.

Wang, Xiaofeng, et al.. (2015). AAFreqCoil: a new classifier to distinguish parallel dimeric and trimeric coiled coils. Molecular BioSystems. 11(7). 1794–1801. 7 indexed citations

16.

Yan, Renxiang, et al.. (2015). Prediction of structural features and application to outer membrane protein identification. Scientific Reports. 5(1). 11586–11586. 9 indexed citations

17.

Yan, Renxiang, et al.. (2014). GPCRserver: an accurate and novel G protein-coupled receptor predictor. Molecular BioSystems. 10(10). 2495–2504. 10 indexed citations

18.

Yan, Renxiang, Jun Lin, Zhen Chen, et al.. (2014). Prediction of outer membrane proteins by combining the position- and composition-based features of sequence profiles. Molecular BioSystems. 10(5). 1004–1013. 3 indexed citations

19.

Yan, Renxiang, Zhen Chen, & Ziding Zhang. (2011). Outer membrane proteins can be simply identified using secondary structure element alignment. BMC Bioinformatics. 12(1). 76–76. 11 indexed citations

20.

Yan, Renxiang, et al.. (2009). TIM-Finder: A new method for identifying TIM-barrel proteins. BMC Structural Biology. 9(1). 73–73. 12 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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