Apichat Suratanee

645 total citations
44 papers, 382 citations indexed

About

Apichat Suratanee is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biological Psychiatry. According to data from OpenAlex, Apichat Suratanee has authored 44 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 4 papers in Biological Psychiatry. Recurrent topics in Apichat Suratanee's work include Bioinformatics and Genomic Networks (21 papers), Computational Drug Discovery Methods (12 papers) and Machine Learning in Bioinformatics (8 papers). Apichat Suratanee is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Computational Drug Discovery Methods (12 papers) and Machine Learning in Bioinformatics (8 papers). Apichat Suratanee collaborates with scholars based in Thailand, Bulgaria and Australia. Apichat Suratanee's co-authors include Kitiporn Plaimas, Michaël Maes, Teerapong Buaboocha, Michael Maes, Ketsupar Jirakran, Buranee Kanchanatawan, Karl Rohr, Rainer König, Yordan Sbirkov and Victoria Sarafian and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Apichat Suratanee

39 papers receiving 377 citations

Peers

Countries citing papers authored by Apichat Suratanee

Since Specialization

Citations

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

Fields of papers citing papers by Apichat Suratanee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apichat Suratanee

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Normalized Laplacian Diffusion for Robust Cancer Pathway Extension and Critical Gene Identification from Limited Data 2025 ·Computation ·(unknown), Apichat Suratanee, Kitiporn Plaimas	0
2	Persistent Homology Identifies Pathways Associated with Hepatocellular Carcinoma from Peripheral Blood Samples 2024 ·Mathematics ·(unknown), Apichat Suratanee, Rosario M. Piro, Kitiporn Plaimas	2
3	A further examination of growth factors, T helper 1 polarization, and the gut microbiome in major depression: Associations with reoccurrence of illness, cognitive functions, suicidal behaviors, and quality of life 2024 ·Journal of Psychiatric Research ·Michaël Maes, Bo Zhou, (unknown), Ketsupar Jirakran, (unknown), Prangwalai Chanchaem, Chavit Tunvirachaisakul, Kitiporn Plaimas, Apichat Suratanee, Jing Li, Abbas F. Almulla, Sunchai Payungporn	6
4	Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques 2024 ·PLoS ONE ·Apichat Suratanee, (unknown), (unknown), Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas	2
5	Adverse childhood experiences and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviours and the phenome of major depression: towards enterotypic phenotypes 2023 ·Acta Neuropsychiatrica ·Michaël Maes, Asara Vasupanrajit, Ketsupar Jirakran, (unknown), Prangwalai Chanchaem, Chavit Tunvirachaisakul, Kitiporn Plaimas, Apichat Suratanee, Sunchai Payungporn	34
6	ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology 2023 ·BMC Bioinformatics ·(unknown), Apichat Suratanee, Kitiporn Plaimas	3
7	Autistic spectrum disorder (ASD) – Gene, molecular and pathway signatures linking systemic inflammation, mitochondrial dysfunction, transsynaptic signalling, and neurodevelopment 2023 ·Brain Behavior & Immunity - Health ·Maria Gevezova, Yordan Sbirkov, Victoria Sarafian, Kitiporn Plaimas, Apichat Suratanee, Michaël Maes	32
8	Modeling the spread of COVID-19 as a consequence of undocumented immigration toward the reduction of daily hospitalization: Case reports from Thailand 2022 ·PLoS ONE ·(unknown), Apichat Suratanee, Sittiporn Pattaradilokrat, Kitiporn Plaimas	1
9	In Vitro Effects of Cannabidiol on Activated Immune–Inflammatory Pathways in Major Depressive Patients and Healthy Controls 2022 ·Pharmaceuticals ·(unknown), Ketsupar Jirakran, Pimpayao Sodsai, (unknown), Atapol Sughondhabirom, Kitiporn Plaimas, Apichat Suratanee, Michael Maes	11
10	Heterogeneous data analysis of hypertrophic cardiomyopathy to prioritize important genes 2022 ·(unknown), Apichat Suratanee, Kitiporn Plaimas	1
11	Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-disease association prediction 2022 ·Science Progress ·(unknown), Apichat Suratanee, Kitiporn Plaimas	7
12	First Episode Psychosis and Schizophrenia Are Systemic Neuro-Immune Disorders Triggered by a Biotic Stimulus in Individuals with Reduced Immune Regulation and Neuroprotection 2021 ·Cells ·Michael Maes, Kitiporn Plaimas, Apichat Suratanee, Cristiano Noto, Buranee Kanchanatawan	26
13	Identification of Key Genes in ‘Luang Pratahn’, Thai Salt-Tolerant Rice, Based on Time-Course Data and Weighted Co-expression Networks 2021 ·Frontiers in Plant Science ·(unknown), (unknown), Apichat Suratanee, Teerapong Buaboocha, Luca Comai, Supachitra Chadchawan, Kitiporn Plaimas	9
14	Network diffusion with centrality measures to identify disease-related genes 2021 ·Mathematical Biosciences & Engineering ·(unknown), Apichat Suratanee, Kitiporn Plaimas	15
15	Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells 2020 ·Molecules ·Kowit Hengphasatporn, Kitiporn Plaimas, Apichat Suratanee, (unknown), Jinn‐Moon Yang, Yasuteru Shigeta, Warinthorn Chavasiri, Siwaporn Boonyasuppayakorn, Thanyada Rungrotmongkol	8
16	Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions 2018 ·PLoS ONE ·Apichat Suratanee, Kitiporn Plaimas	21
17	Characterizing Protein Interactions Employing a Genome-Wide siRNA Cellular Phenotyping Screen 2014 ·PLoS Computational Biology ·Apichat Suratanee, Martin H. Schaefer, Matthew J. Betts, Zita Soons, Heiko Mannsperger, Nathalie Harder, Marcus Oswald, (unknown), (unknown), Guillermo Marcus, Reinhard Männer, Karl Rohr, Erich E. Wanker, Robert B. Russell, Miguel A. Andrade‐Navarro, Roland Eils, Rainer König	11
18	Haralick's Texture Features Computed by GPUs for Biological Applications 2009 ·(unknown), (unknown), Nathalie Harder, Apichat Suratanee, Karl Rohr, Rainer König, Reinhard Männer	14
19	Accelerating the Computation of Haralick's Texture Features using Graphics Processing Units (GPUs) 2008 ·Lecture notes in computer science ·(unknown), (unknown), Nathalie Harder, Apichat Suratanee, Karl Rohr, Rainer König, Reinhard Männer	8
20	Modeling the soybean growth in different amount of nitrogen, phosphorus and potassium using neural network 2004 ·Agritrop (Cirad) ·Apichat Suratanee, (unknown), Chidchanok Lursinsap	2

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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