Asawin Meechai

1.0k total citations
43 papers, 637 citations indexed

About

Asawin Meechai is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Asawin Meechai has authored 43 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Biomedical Engineering and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Asawin Meechai's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Bioinformatics and Genomic Networks (13 papers) and Biofuel production and bioconversion (12 papers). Asawin Meechai is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Bioinformatics and Genomic Networks (13 papers) and Biofuel production and bioconversion (12 papers). Asawin Meechai collaborates with scholars based in Thailand, China and Denmark. Asawin Meechai's co-authors include Supapon Cheevadhanarak, Wanwipa Vongsangnak, Sakarindr Bhumiratana, Amornpan Klanchui, Kobkul Laoteng, Preecha Patumcharoenpol, Bairong Shen, Chinae Thammarongtham, Fei Zhu and Cheng Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Asawin Meechai

38 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asawin Meechai Thailand 11 475 154 89 85 79 43 637
Yanrui Ding China 13 282 0.6× 41 0.3× 95 1.1× 40 0.5× 36 0.5× 52 534
Alberto Marı́n-Sanguino Germany 13 443 0.9× 78 0.5× 49 0.6× 19 0.2× 8 0.1× 30 555
Ali R. Zomorrodi United States 16 1.2k 2.6× 457 3.0× 34 0.4× 77 0.9× 10 0.1× 23 1.4k
E Selkov United States 10 966 2.0× 164 1.1× 16 0.2× 18 0.2× 15 0.2× 11 1.1k
Hannes Link Switzerland 10 582 1.2× 119 0.8× 33 0.4× 25 0.3× 10 0.1× 13 738
Christian Bölling Germany 5 331 0.7× 37 0.2× 71 0.8× 116 1.4× 5 0.1× 22 551
Michael Hicks United States 12 363 0.8× 50 0.3× 19 0.2× 55 0.6× 21 0.3× 17 481
Supreeta Vijayakumar United Kingdom 8 346 0.7× 100 0.6× 17 0.2× 23 0.3× 15 0.2× 10 411
Song Feng United States 11 332 0.7× 62 0.4× 43 0.5× 9 0.1× 12 0.2× 43 547
Vasiliy A. Portnoy United States 10 762 1.6× 293 1.9× 23 0.3× 50 0.6× 5 0.1× 10 835

Countries citing papers authored by Asawin Meechai

Since Specialization
Citations

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

Fields of papers citing papers by Asawin Meechai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asawin Meechai

This figure shows the co-authorship network connecting the top 25 collaborators of Asawin Meechai. A scholar is included among the top collaborators of Asawin Meechai 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 Asawin Meechai. Asawin Meechai 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.
Meechai, Asawin, et al.. (2019). Understanding carbon utilization routes between high and low starch-producing cultivars of cassava through Flux Balance Analysis. Scientific Reports. 9(1). 2964–2964. 12 indexed citations
2.
Klanchui, Amornpan, Supapon Cheevadhanarak, Peerada Prommeenate, & Asawin Meechai. (2017). Exploring Components of the CO2-Concentrating Mechanism in Alkaliphilic Cyanobacteria Through Genome-Based Analysis. Computational and Structural Biotechnology Journal. 15. 340–350. 34 indexed citations
3.
Patumcharoenpol, Preecha, et al.. (2016). An integrated text mining framework for metabolic interaction network reconstruction. PeerJ. 4. e1811–e1811. 8 indexed citations
4.
Engchuan, Worrawat, et al.. (2016). Gene-set activity toolbox (GAT): A platform for microarray-based cancer diagnosis using an integrative gene-set analysis approach. Journal of Bioinformatics and Computational Biology. 14(4). 1650015–1650015. 4 indexed citations
5.
Engchuan, Worrawat, Asawin Meechai, Sissades Tongsima, & Jonathan H. Chan. (2016). Handling batch effects on cross-platform classification of microarray data. International Journal of Advanced Intelligence Paradigms. 8(1). 59–59. 4 indexed citations
6.
Klanchui, Amornpan, et al.. (2016). Cyanobacterial Biofuels: Strategies and Developments on Network and Modeling. Advances in biochemical engineering, biotechnology. 160. 75–102. 6 indexed citations
7.
Vongsangnak, Wanwipa, et al.. (2016). Genome-scale metabolic modeling of Mucor circinelloides and comparative analysis with other oleaginous species. Gene. 583(2). 121–129. 23 indexed citations
8.
Klanchui, Amornpan, Wanwipa Vongsangnak, Kobkul Laoteng, & Asawin Meechai. (2016). In Silico Analysis of Mucor Circinelloides Genome-Scale Model for Enhancing Lipid Production. 14–18. 1 indexed citations
9.
Cheevadhanarak, Supapon, et al.. (2014). Rational identification of target enzymes for starch improvement through system-level analysis of a potato tuber model. Australian Journal of Crop Science. 8(5). 760–770.
10.
Kaewkamnerdpong, Boonserm, et al.. (2014). Domain-based design platform of interacting RNAs: A promising tool in synthetic biology. 32. 1–5. 2 indexed citations
11.
Srimarut, Yanee, et al.. (2012). Systematic identification of Lactobacillus plantarum auxotrophs for fermented Nham using genome-scale metabolic model. Journal of Biotechnology. 162(2-3). 327–335. 1 indexed citations
12.
Zhu, Fei, Preecha Patumcharoenpol, Cheng Zhang, et al.. (2012). Biomedical text mining and its applications in cancer research. Journal of Biomedical Informatics. 46(2). 200–211. 155 indexed citations
13.
Cheevadhanarak, Supapon, et al.. (2012). Analysis of Metabolic Network of Synthetic Escherichia coli Producing Linalool Using Constraint-based Modeling. Procedia Computer Science. 11. 24–35. 2 indexed citations
14.
Klanchui, Amornpan, et al.. (2012). i AK692: A genome-scale metabolic model of Spirulina platensis C1. BMC Systems Biology. 6(1). 71–71. 34 indexed citations
15.
Cheevadhanarak, Supapon, et al.. (2012). Conceptual Design of RNA-RNA Interaction Based Devices. Procedia Computer Science. 11. 139–148. 3 indexed citations
16.
Klanchui, Amornpan, et al.. (2012). SYSTEMS BIOLOGY AND METABOLIC ENGINEERING OF ARTHROSPIRA CELL FACTORIES. Computational and Structural Biotechnology Journal. 3(4). e201210015–e201210015. 10 indexed citations
17.
Eiumnoh, Apisit, et al.. (2011). Mapping airborne pollen of papaya (Carica papaya L.) and its distribution related to land use using GIS and remote sensing. Aerobiologia. 27(4). 291–300. 4 indexed citations
18.
Meechai, Asawin, et al.. (2009). Enzyme Relational Network Reveals Target Enzymes within Metabolic Submodules. 7. 388–391. 1 indexed citations
19.
Nookaew, Intawat, Michael C. Jewett, Asawin Meechai, et al.. (2008). The genome-scale metabolic model iIN800 of Saccharomyces cerevisiae and its validation: a scaffold to query lipid metabolism. BMC Systems Biology. 2(1). 71–71. 129 indexed citations
20.
Nookaew, Intawat, Asawin Meechai, Chinae Thammarongtham, et al.. (2007). Identification of flux regulation coefficients from elementary flux modes: A systems biology tool for analysis of metabolic networks. Biotechnology and Bioengineering. 97(6). 1535–1549. 26 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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