Suwipa Saen‐oon

785 total citations
24 papers, 644 citations indexed

About

Suwipa Saen‐oon is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Suwipa Saen‐oon has authored 24 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Infectious Diseases and 4 papers in Virology. Recurrent topics in Suwipa Saen‐oon's work include Protein Structure and Dynamics (8 papers), HIV/AIDS drug development and treatment (7 papers) and HIV Research and Treatment (4 papers). Suwipa Saen‐oon is often cited by papers focused on Protein Structure and Dynamics (8 papers), HIV/AIDS drug development and treatment (7 papers) and HIV Research and Treatment (4 papers). Suwipa Saen‐oon collaborates with scholars based in Spain, United States and Thailand. Suwipa Saen‐oon's co-authors include Vern L. Schramm, Steven D. Schwartz, Vı́ctor Guallar, Supa Hannongbua, Supot Hannongbua, Mayuso Kuno, Robert Soliva, Mahmoud Ghanem, Pakatip Ruenraroengsak and Narumol Pakmanee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Suwipa Saen‐oon

24 papers receiving 628 citations

Peers

Suwipa Saen‐oon
Suwipa Saen‐oon
Citations per year, relative to Suwipa Saen‐oon Suwipa Saen‐oon (= 1×) peers Shigeki Arai

Countries citing papers authored by Suwipa Saen‐oon

Since Specialization
Citations

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

Fields of papers citing papers by Suwipa Saen‐oon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suwipa Saen‐oon. 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 Suwipa Saen‐oon. The network helps show where Suwipa Saen‐oon may publish in the future.

Co-authorship network of co-authors of Suwipa Saen‐oon

This figure shows the co-authorship network connecting the top 25 collaborators of Suwipa Saen‐oon. A scholar is included among the top collaborators of Suwipa Saen‐oon 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 Suwipa Saen‐oon. Suwipa Saen‐oon 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.
Bartoccioni, Paola, Ángela Arias, Suwipa Saen‐oon, et al.. (2024). Structure and mechanisms of transport of human Asc1/CD98hc amino acid transporter. Nature Communications. 15(1). 2986–2986. 7 indexed citations
2.
Dı́ez-Alarcia, Rebeca, Tomasz Maciej Stępniewski, Suwipa Saen‐oon, et al.. (2024). G protein-specific mechanisms in the serotonin 5-HT2A receptor regulate psychosis-related effects and memory deficits. Nature Communications. 15(1). 4307–4307. 17 indexed citations
3.
Díaz, Lucía, Gary Tresadern, Christophe Buyck, et al.. (2020). Monte Carlo simulations using PELE to identify a protein–protein inhibitor binding site and pose. RSC Advances. 10(12). 7058–7064. 5 indexed citations
5.
Saen‐oon, Suwipa, et al.. (2018). Computational structure‐based drug design: Predicting target flexibility. Wiley Interdisciplinary Reviews Computational Molecular Science. 8(5). 56 indexed citations
6.
Saen‐oon, Suwipa, Israel Cabeza de Vaca, Diego Masone, Milagros Medina, & Vı́ctor Guallar. (2015). A theoretical multiscale treatment of protein–protein electron transfer: The ferredoxin/ferredoxin-NADP+ reductase and flavodoxin/ferredoxin-NADP+ reductase systems. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1847(12). 1530–1538. 9 indexed citations
7.
Saen‐oon, Suwipa, Soon Goo Lee, Joseph M. Jez, & Vı́ctor Guallar. (2014). An Alternative Mechanism for the Methylation of Phosphoethanolamine Catalyzed by Plasmodium falciparum Phosphoethanolamine Methyltransferase*. Journal of Biological Chemistry. 289(49). 33815–33825. 10 indexed citations
8.
Saen‐oon, Suwipa, Maria Fátima Lucas, & Vı́ctor Guallar. (2013). Electron transfer in proteins: theory, applications and future perspectives. Physical Chemistry Chemical Physics. 15(37). 15271–15271. 25 indexed citations
9.
Lucas, Maria Fátima, Diego Masone, Suwipa Saen‐oon, Frank Wallrapp, & Vı́ctor Guallar. (2012). Using QM/MM Methods for the Exploration of Electron Transfer Pathways. 2(3). 263–272. 1 indexed citations
10.
Saen‐oon, Suwipa, Mahmoud Ghanem, Vern L. Schramm, & Steven D. Schwartz. (2008). Remote Mutations and Active Site Dynamics Correlate with Catalytic Properties of Purine Nucleoside Phosphorylase. Biophysical Journal. 94(10). 4078–4088. 58 indexed citations
11.
Saen‐oon, Suwipa, Vern L. Schramm, & Steven D. Schwartz. (2008). Transition Path Sampling Study of the Reaction Catalyzed by Purine Nucleoside Phosphorylase. Zeitschrift für Physikalische Chemie. 222(8-9). 1359–1374. 15 indexed citations
12.
Siriwong, Khatcharin, et al.. (2008). Insight into why pyrrolidinyl peptide nucleic acid binding to DNA is more stable than the DNA·DNA duplex. Biochemical and Biophysical Research Communications. 372(4). 765–771. 21 indexed citations
13.
Nukoolkarn, Veena, Suwipa Saen‐oon, Thanyada Rungrotmongkol, et al.. (2008). Petrosamine, a potent anticholinesterase pyridoacridine alkaloid from a Thai marine sponge Petrosia n. sp. Bioorganic & Medicinal Chemistry. 16(13). 6560–6567. 50 indexed citations
14.
Saen‐oon, Suwipa, et al.. (2008). Atomic detail of chemical transformation at the transition state of an enzymatic reaction. Proceedings of the National Academy of Sciences. 105(43). 16543–16548. 75 indexed citations
15.
Saen‐oon, Suwipa, et al.. (2007). Insight into analysis of interactions of saquinavir with HIV-1 protease in comparison between the wild-type and G48V and G48V/L90M mutants based on QM and QM/MM calculations. Journal of Molecular Graphics and Modelling. 26(4). 720–727. 23 indexed citations
16.
Saen‐oon, Suwipa, et al.. (2007). Vinyldeoxyadenosine in a Sarcin−Ricin RNA Loop and Its Binding to Ricin Toxin A-Chain. Biochemistry. 46(21). 6169–6182. 5 indexed citations
17.
Saen‐oon, Suwipa, Mayuso Kuno, & Supa Hannongbua. (2005). Binding energy analysis for wild‐type and Y181C mutant HIV‐1 RT/8‐Cl TIBO complex structures: Quantum chemical calculations based on the ONIOM method. Proteins Structure Function and Bioinformatics. 61(4). 859–869. 42 indexed citations
18.
Pithayanukul, Pimolpan, Pakatip Ruenraroengsak, Rapepol Bavovada, et al.. (2005). Inhibition of Naja kaouthia venom activities by plant polyphenols. Journal of Ethnopharmacology. 97(3). 527–533. 91 indexed citations
19.
Wittayanarakul, Kitiyaporn, Ornjira Aruksakunwong, Suwipa Saen‐oon, et al.. (2004). Insights into Saquinavir Resistance in the G48V HIV-1 Protease: Quantum Calculations and Molecular Dynamic Simulations. Biophysical Journal. 88(2). 867–879. 48 indexed citations
20.
Saen‐oon, Suwipa, Supa Hannongbua, & Peter Wolschann. (2003). Structural Flexibility of Non-Nucleoside HIV-1 Reverse Transcriptase Inhibitor:  9-Cl TIBO as Explained by Potential Energy Surface and 13C and 1H NMR Calculations, Based on ab initio and Density Functional Study. Journal of Chemical Information and Computer Sciences. 43(5). 1412–1422. 9 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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