Ploy N. Pratanwanich

1.7k total citations · 2 hit papers
17 papers, 563 citations indexed

About

Ploy N. Pratanwanich is a scholar working on Molecular Biology, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Ploy N. Pratanwanich has authored 17 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 2 papers in Computer Networks and Communications. Recurrent topics in Ploy N. Pratanwanich's work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and RNA modifications and cancer (3 papers). Ploy N. Pratanwanich is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and RNA modifications and cancer (3 papers). Ploy N. Pratanwanich collaborates with scholars based in Thailand, United Kingdom and Singapore. Ploy N. Pratanwanich's co-authors include Yuk Kei Wan, Christopher Hendra, Jonathan Göke, Alexandre H. Thiéry, W.S. Sho Goh, Píetro Lió, Oliver Stegle, Florian Buettner, Davis J. McCarthy and John C. Marioni and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Genome biology.

In The Last Decade

Ploy N. Pratanwanich

17 papers receiving 558 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore

2021 197 citations Ploy N. Pratanwanich, Fei Yao et al. Nature Biotechnology profile →
Detection of m6A from direct RNA sequencing using a multiple instance learning framework

2022 144 citations Christopher Hendra, Ploy N. Pratanwanich et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ploy N. Pratanwanich Thailand	9	487	203	47	36	23	17	563
Bin Duan China	11	534 1.1×	52 0.3×	29 0.6×	19 0.5×	28 1.2×	19	631
Jia Wei China	6	679 1.4×	176 0.9×	26 0.6×	7 0.2×	16 0.7×	12	725
Tzu-Hsien Yang Taiwan	12	324 0.7×	56 0.3×	11 0.2×	29 0.8×	18 0.8×	32	445
Zhaoxiang Cai Australia	6	191 0.4×	55 0.3×	96 2.0×	10 0.3×	19 0.8×	9	310
Shengquan Chen China	12	489 1.0×	89 0.4×	18 0.4×	20 0.6×	5 0.2×	49	578
Yuk Kei Wan Singapore	6	470 1.0×	202 1.0×	47 1.0×	34 0.9×	23 1.0×	9	510
John Haliburton United States	9	445 0.9×	47 0.2×	184 3.9×	50 1.4×	26 1.1×	10	574
Christopher Hendra Singapore	4	381 0.8×	184 0.9×	41 0.9×	34 0.9×	21 0.9×	4	415
Qinhu Zhang China	11	488 1.0×	74 0.4×	17 0.4×	5 0.1×	4 0.2×	42	582
Hratch Baghdassarian United States	8	372 0.8×	17 0.1×	59 1.3×	15 0.4×	12 0.5×	13	452

Countries citing papers authored by Ploy N. Pratanwanich

Since Specialization

Citations

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

Fields of papers citing papers by Ploy N. Pratanwanich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ploy N. Pratanwanich. 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 Ploy N. Pratanwanich. The network helps show where Ploy N. Pratanwanich may publish in the future.

Co-authorship network of co-authors of Ploy N. Pratanwanich

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Chuaypen, Natthaya, Sumanee Nilgate, Tanittha Chatsuwan, et al.. (2025). Inference of antimicrobial resistance (AMR) from a whole genome database outperforming AMR gene detection. iScience. 28(8). 112962–112962. 2 indexed citations

Pratanwanich, Ploy N., et al.. (2025). Headline-Guided Extractive Summarization for Thai News Articles. IEEE Access. 13. 24368–24382. 1 indexed citations

Tuaycharoen, Nuengwong, et al.. (2023). Performance Improvement on a Learning Assessment Web Application Using AWS DynamoDB as a Cache Database. 303–308. 2 indexed citations

Suchato, Atiwong, et al.. (2023). Automated API Testing with Karate Framework: A Case Study of an Online Assessment Web Application. 309–314. 1 indexed citations

Nopsopon, Tanawin, et al.. (2022). Breakthrough infections, hospital admissions, and mortality after major COVID-19 vaccination profiles: a prospective cohort study. The Lancet Regional Health - Southeast Asia. 8. 100106–100106. 8 indexed citations

Hendra, Christopher, Ploy N. Pratanwanich, Yuk Kei Wan, et al.. (2022). Detection of m6A from direct RNA sequencing using a multiple instance learning framework. Nature Methods. 19(12). 1590–1598. 144 indexed citations breakdown →

Punyabukkana, Proadpran, et al.. (2022). Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA). Sensors. 22(4). 1583–1583. 8 indexed citations

Punyabukkana, Proadpran, et al.. (2022). Selecting the Most Important Features for Predicting Mild Cognitive Impairment from Thai Verbal Fluency Assessments. Sensors. 22(15). 5813–5813. 1 indexed citations

Punyabukkana, Proadpran, et al.. (2022). An Analysis of Acoustic Features for Attention Score in Thai MoCA Assessment. 1–6. 1 indexed citations

10.

Wan, Yuk Kei, Christopher Hendra, Ploy N. Pratanwanich, & Jonathan Göke. (2021). Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data. Trends in Genetics. 38(3). 246–257. 65 indexed citations

11.

Pratanwanich, Ploy N., Fei Yao, Ying Chen, et al.. (2021). Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore. Nature Biotechnology. 39(11). 1394–1402. 197 indexed citations breakdown →

12.

Chuangsuwanich, Ekapol, et al.. (2021). Stacking Ensemble Learning for Housing Price Prediction: a Case Study in Thailand. 73–77. 8 indexed citations

13.

Buettner, Florian, Ploy N. Pratanwanich, Davis J. McCarthy, John C. Marioni, & Oliver Stegle. (2017). f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq. Genome biology. 18(1). 212–212. 77 indexed citations

14.

Angione, Claudio, Ploy N. Pratanwanich, & Píetro Lió. (2015). A Hybrid of Metabolic Flux Analysis and Bayesian Factor Modeling for Multiomic Temporal Pathway Activation. ACS Synthetic Biology. 4(8). 880–889. 15 indexed citations

15.

Pratanwanich, Ploy N. & Píetro Lió. (2014). Pathway-based Bayesian inference of drug–disease interactions. Molecular BioSystems. 10(6). 1538–1548. 13 indexed citations

16.

Pratanwanich, Ploy N. & Píetro Lió. (2014). Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation. Computational Biology and Chemistry. 53. 144–152. 13 indexed citations

17.

Pratanwanich, Ploy N. & Píetro Lió. (2014). Who Wrote This? Textual Modeling with Authorship Attribution in Big Data. 8. 645–652. 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.

Explore authors with similar magnitude of impact