Sheng‐An Lee

462 total citations
10 papers, 319 citations indexed

About

Sheng‐An Lee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Sheng‐An Lee has authored 10 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Cell Biology. Recurrent topics in Sheng‐An Lee's work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (3 papers) and Computational Drug Discovery Methods (3 papers). Sheng‐An Lee is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (3 papers) and Computational Drug Discovery Methods (3 papers). Sheng‐An Lee collaborates with scholars based in Taiwan and Saudi Arabia. Sheng‐An Lee's co-authors include Chi‐Ying F. Huang, Jin-Mei Lai, Cheng-Yan Kao, Feng‐Sheng Wang, Chao‐Hui Chang, Yi‐Ren Hong, Tzu-Chi Chen, Kun‐Mao Chao, Chueh‐Chuan Yen and Tzu-Ling Tseng and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of Proteome Research.

In The Last Decade

Sheng‐An Lee

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng‐An Lee Taiwan 8 271 60 51 29 26 10 319
Ramón Aragüés Spain 11 322 1.2× 90 1.5× 29 0.6× 28 1.0× 38 1.5× 13 385
Antonio Palmeri Italy 8 271 1.0× 57 0.9× 39 0.8× 42 1.4× 28 1.1× 12 386
Michelle S Scott United Kingdom 6 298 1.1× 77 1.3× 21 0.4× 12 0.4× 16 0.6× 8 356
Lisa Gawriyski Finland 9 212 0.8× 13 0.2× 68 1.3× 22 0.8× 23 0.9× 11 326
Alessandra Lo Sardo Italy 8 289 1.1× 25 0.4× 19 0.4× 18 0.6× 76 2.9× 9 381
Guray Kuzu United States 12 505 1.9× 56 0.9× 24 0.5× 8 0.3× 30 1.2× 17 614
Nadav Askari Israel 9 304 1.1× 18 0.3× 47 0.9× 37 1.3× 72 2.8× 10 440
Matthew J. Miller United States 9 208 0.8× 41 0.7× 66 1.3× 8 0.3× 30 1.2× 13 325
Thilde Terkelsen Denmark 12 282 1.0× 19 0.3× 19 0.4× 24 0.8× 46 1.8× 18 387
Francisco Campos‐Laborie Spain 8 180 0.7× 33 0.6× 17 0.3× 8 0.3× 29 1.1× 12 251

Countries citing papers authored by Sheng‐An Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐An Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐An Lee. 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 Sheng‐An Lee. The network helps show where Sheng‐An Lee may publish in the future.

Co-authorship network of co-authors of Sheng‐An Lee

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

All Works

10 of 10 papers shown
1.
Lee, Sheng‐An, et al.. (2025). An Intelligent 3D-AFM Scanning Process Based on Online Probe Rotation and Adaptive Speed Strategy. IEEE Transactions on Nanotechnology. 24. 264–276.
2.
Lee, Sheng‐An, et al.. (2024). Omnidirectional 3-D AFM Integrated With a Rotary Stage for High-Precision Sidewall Structure. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 1 indexed citations
3.
Chen, Tzu-Chi, Kuan‐Ting Lin, Chun‐Houh Chen, et al.. (2014). Using an in Situ Proximity Ligation Assay to Systematically Profile Endogenous Protein–Protein Interactions in a Pathway Network. Journal of Proteome Research. 13(12). 5339–5346. 24 indexed citations
4.
Lan, Ming‐Ying, Chi‐Long Chen, Kuan‐Ting Lin, et al.. (2010). From NPC Therapeutic Target Identification to Potential Treatment Strategy. Molecular Cancer Therapeutics. 9(9). 2511–2523. 17 indexed citations
5.
Lee, Sheng‐An, Chen‐hsiung Chan, Yue‐Li Juang, et al.. (2009). Cliques in mitotic spindle network bring kinetochore‐associated complexes to form dependence pathway. PROTEOMICS. 9(16). 4048–4062. 11 indexed citations
6.
Chen, Tzu-Chi, Sheng‐An Lee, Tse‐Ming Hong, et al.. (2009). From Midbody Protein−Protein Interaction Network Construction to Novel Regulators in Cytokinesis. Journal of Proteome Research. 8(11). 4943–4953. 22 indexed citations
7.
Lee, Sheng‐An, Tzu-Chi Chen, Jin-Mei Lai, et al.. (2009). POINeT: protein interactome with sub-network analysis and hub prioritization. BMC Bioinformatics. 10(1). 114–114. 39 indexed citations
8.
Lee, Sheng‐An, et al.. (2008). Ortholog-based protein-protein interaction prediction and its application to inter-species interactions. BMC Bioinformatics. 9(S12). S11–S11. 85 indexed citations
9.
Chang, Chao‐Hui, Sheng‐An Lee, Chueh‐Chuan Yen, et al.. (2008). PhosphoPOINT: a comprehensive human kinase interactome and phospho-protein database. Bioinformatics. 24(16). i14–i20. 78 indexed citations
10.
Hsu, Chun-Nan, Jin-Mei Lai, Chia-Hung Liu, et al.. (2007). Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (E ncyclopedia of H epatocellular C arcinoma genes O nline). BMC Bioinformatics. 8(1). 66–66. 42 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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