Saw Simeon

708 total citations
19 papers, 451 citations indexed

About

Saw Simeon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Saw Simeon has authored 19 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in Saw Simeon's work include Computational Drug Discovery Methods (10 papers), Cell Image Analysis Techniques (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Saw Simeon is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Cell Image Analysis Techniques (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Saw Simeon collaborates with scholars based in Thailand, Sweden and United Kingdom. Saw Simeon's co-authors include Chanin Nantasenamat, Virapong Prachayasittikul, Watshara Shoombuatong, M. Paul Gleeson, Ola Spjuth, Nalini Schaduangrat, Samuel Lampa, Jarl E. S. Wikberg, Pedro J. Ballester and Viet‐Khoa Tran‐Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Protocols and Molecules.

In The Last Decade

Saw Simeon

19 papers receiving 445 citations

Peers

Saw Simeon
Alice Capecchi Switzerland
Emma J. Manners United Kingdom
Noé Sturm Sweden
Jingyu Lee South Korea
Andrew T. McNutt United States
Rocco Meli United Kingdom
Alice Capecchi Switzerland
Saw Simeon
Citations per year, relative to Saw Simeon Saw Simeon (= 1×) peers Alice Capecchi

Countries citing papers authored by Saw Simeon

Since Specialization
Citations

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

Fields of papers citing papers by Saw Simeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saw Simeon

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

All Works

19 of 19 papers shown
1.
Simeon, Saw, et al.. (2024). Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizers. Journal of Advanced Research. 67. 185–196. 12 indexed citations
2.
Tran‐Nguyen, Viet‐Khoa, Muhammad Junaid, Saw Simeon, & Pedro J. Ballester. (2023). A practical guide to machine-learning scoring for structure-based virtual screening. Nature Protocols. 18(11). 3460–3511. 37 indexed citations
3.
Tran‐Nguyen, Viet‐Khoa, Saw Simeon, Muhammad Junaid, & Pedro J. Ballester. (2022). Structure-based virtual screening for PDL1 dimerizers: Evaluating generic scoring functions. SHILAP Revista de lepidopterología. 4. 206–210. 12 indexed citations
4.
Schaduangrat, Nalini, Samuel Lampa, Saw Simeon, et al.. (2020). Towards reproducible computational drug discovery. Journal of Cheminformatics. 12(1). 9–9. 126 indexed citations
5.
Todhanakasem, Tatsaporn, Bo Wu, & Saw Simeon. (2020). Perspectives and new directions for bioprocess optimization using Zymomonas mobilis in the ethanol production. World Journal of Microbiology and Biotechnology. 36(8). 112–112. 15 indexed citations
6.
Simeon, Saw, et al.. (2019). Insights into the EGFR SAR of N-phenylquinazolin-4-amine-derivatives using quantum mechanical pairwise-interaction energies. Journal of Computer-Aided Molecular Design. 33(8). 745–757. 4 indexed citations
7.
Simeon, Saw, Dino Montanari, & M. Paul Gleeson. (2019). Investigation of Factors Affecting the Performance of in silico Volume Distribution QSAR Models for Human, Rat, Mouse, Dog & Monkey. Molecular Informatics. 38(10). e1900059–e1900059. 9 indexed citations
9.
Simeon, Saw, Hao Li, Thet Su Win, et al.. (2017). PepBio: predicting the bioactivity of host defense peptides. RSC Advances. 7(56). 35119–35134. 9 indexed citations
10.
Li, Hao, Nalini Schaduangrat, Saw Simeon, & Chanin Nantasenamat. (2017). Computational study on the origin of the cancer immunotherapeutic potential of B and T cell epitope peptides. Molecular BioSystems. 13(11). 2310–2322. 2 indexed citations
11.
Simeon, Saw, Watshara Shoombuatong, Nuttapat Anuwongcharoen, et al.. (2016). osFP: a web server for predicting the oligomeric states of fluorescent proteins. Journal of Cheminformatics. 8(1). 72–72. 27 indexed citations
12.
Simeon, Saw, Nuttapat Anuwongcharoen, Watshara Shoombuatong, et al.. (2016). Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking. PeerJ. 4. e2322–e2322. 59 indexed citations
13.
Simeon, Saw, Ola Spjuth, Maris Lapins, et al.. (2016). Origin of aromatase inhibitory activity via proteochemometric modeling. PeerJ. 4. e1979–e1979. 12 indexed citations
14.
Shoombuatong, Watshara, Saw Simeon, Virapong Prachayasittikul, et al.. (2016). Extending proteochemometric modeling for unraveling the sorption behavior of compound–soil interaction. Chemometrics and Intelligent Laboratory Systems. 151. 219–227. 5 indexed citations
15.
Simeon, Saw, et al.. (2015). Predicting the Oligomeric States of Fluorescent Proteins. Figshare. 1 indexed citations
16.
Prachayasittikul, Veda, Apilak Worachartcheewan, Watshara Shoombuatong, et al.. (2015). Computer-Aided Drug Design of Bioactive Natural Products. Current Topics in Medicinal Chemistry. 15(18). 1780–1800. 66 indexed citations
17.
Simeon, Saw, et al.. (2015). Unraveling the origin of splice switching activity of hemoglobin β-globin gene modulators via QSAR modeling. Chemometrics and Intelligent Laboratory Systems. 151. 51–60. 11 indexed citations
18.
Nantasenamat, Chanin, Saw Simeon, Napat Songtawee, et al.. (2014). Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling. Journal of Computational Chemistry. 35(27). 1951–1966. 3 indexed citations
19.
Nantasenamat, Chanin, Apilak Worachartcheewan, Likit Preeyanon, et al.. (2014). AutoWeka: Toward an Automated Data Mining Software for QSAR and QSPR Studies. Methods in molecular biology. 1260. 119–147. 20 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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