Te‐Lun Mai

401 total citations
12 papers, 270 citations indexed

About

Te‐Lun Mai is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Te‐Lun Mai has authored 12 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Organic Chemistry. Recurrent topics in Te‐Lun Mai's work include Circular RNAs in diseases (4 papers), RNA Research and Splicing (4 papers) and Machine Learning in Bioinformatics (3 papers). Te‐Lun Mai is often cited by papers focused on Circular RNAs in diseases (4 papers), RNA Research and Splicing (4 papers) and Machine Learning in Bioinformatics (3 papers). Te‐Lun Mai collaborates with scholars based in Taiwan and United States. Te‐Lun Mai's co-authors include Chi‐Ming Chen, Trees‐Juen Chuang, Chia-Ying Chen, Yen‐Ju Chen, Tai-Wei Chiang, Yu‐Chen Chen, Sachin Gupta, Laising Yen, Chia‐Ning Shen and Yu‐Ting Hsiao and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Genome Research.

In The Last Decade

Te‐Lun Mai

12 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Te‐Lun Mai Taiwan 8 236 105 37 13 12 12 270
Danielle L. Schmitt United States 10 312 1.3× 54 0.5× 27 0.7× 11 0.8× 4 0.3× 16 403
S.A. Eberle Denmark 6 263 1.1× 82 0.8× 37 1.0× 13 1.0× 8 0.7× 8 290
Tatsuo Sugawara Germany 9 253 1.1× 26 0.2× 125 3.4× 7 0.5× 5 0.4× 16 327
Lisbeth Gauguin Australia 7 250 1.1× 26 0.2× 19 0.5× 4 0.3× 7 0.6× 7 348
Josiah B. Passmore United Kingdom 9 270 1.1× 41 0.4× 11 0.3× 26 2.0× 7 0.6× 11 325
Paul Scherer United States 7 167 0.7× 22 0.2× 28 0.8× 4 0.3× 5 0.4× 8 237
Alejandro Velázquez‐Cruz Spain 8 319 1.4× 72 0.7× 12 0.3× 8 0.6× 3 0.3× 10 368
Prashant K. Singh United States 8 163 0.7× 13 0.1× 68 1.8× 21 1.6× 21 1.8× 11 210
Jeetayu Biswas United States 8 427 1.8× 50 0.5× 10 0.3× 5 0.4× 2 0.2× 15 462
Mara Zilocchi Canada 7 126 0.5× 18 0.2× 36 1.0× 14 1.1× 9 0.8× 15 212

Countries citing papers authored by Te‐Lun Mai

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Lun Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Lun Mai. 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 Te‐Lun Mai. The network helps show where Te‐Lun Mai may publish in the future.

Co-authorship network of co-authors of Te‐Lun Mai

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

All Works

12 of 12 papers shown
1.
Mai, Te‐Lun, et al.. (2024). Multipathway regulation induced by 4‐(phenylsulfonyl)morpholine derivatives against triple‐negative breast cancer. Archiv der Pharmazie. 357(5). e2300435–e2300435. 1 indexed citations
2.
Mai, Te‐Lun, Chia-Ying Chen, Yu‐Chen Chen, Tai-Wei Chiang, & Trees‐Juen Chuang. (2022). Trans-genetic effects of circular RNA expression quantitative trait loci and potential causal mechanisms in autism. Molecular Psychiatry. 27(11). 4695–4706. 10 indexed citations
3.
Chiang, Tai-Wei, Te‐Lun Mai, & Trees‐Juen Chuang. (2022). CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species. BMC Bioinformatics. 23(1). 164–164. 12 indexed citations
4.
Chen, Yen‐Ju, Chia-Ying Chen, Te‐Lun Mai, et al.. (2020). Genome-wide, integrative analysis of circular RNA dysregulation and the corresponding circular RNA-microRNA-mRNA regulatory axes in autism. Genome Research. 30(3). 375–391. 51 indexed citations
5.
Mai, Te‐Lun & Trees‐Juen Chuang. (2019). A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations. Genome Research. 29(11). 1766–1776. 4 indexed citations
6.
Chuang, Trees‐Juen, Yen‐Ju Chen, Chia-Ying Chen, et al.. (2018). Integrative transcriptome sequencing reveals extensive alternative trans-splicing and cis-backsplicing in human cells. Nucleic Acids Research. 46(7). 3671–3691. 63 indexed citations
7.
Mai, Te‐Lun, et al.. (2017). Visualizing the GPCR Network: Classification and Evolution. Scientific Reports. 7(1). 15495–15495. 76 indexed citations
8.
Mai, Te‐Lun, et al.. (2017). Synchronization and Inter-Layer Interactions of Noise-Driven Neural Networks. Frontiers in Computational Neuroscience. 11. 2–2. 1 indexed citations
9.
Hung, Li-Yuan, Yen‐Ju Chen, Te‐Lun Mai, et al.. (2017). An Evolutionary Landscape of A-to-I RNA Editome across Metazoan Species. Genome Biology and Evolution. 10(2). 521–537. 21 indexed citations
10.
Mai, Te‐Lun, et al.. (2016). Visualizing and Clustering Protein Similarity Networks: Sequences, Structures, and Functions. Journal of Proteome Research. 15(7). 2123–2131. 17 indexed citations
11.
Mai, Te‐Lun, et al.. (2015). Clustering and visualizing similarity networks of membrane proteins. Proteins Structure Function and Bioinformatics. 83(8). 1450–1461. 7 indexed citations
12.
Mai, Te‐Lun, et al.. (2014). Computational prediction of kink properties of helices in membrane proteins. Journal of Computer-Aided Molecular Design. 28(2). 99–109. 7 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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