Nitnipa Soontorngun

1.0k total citations
34 papers, 794 citations indexed

About

Nitnipa Soontorngun is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Nitnipa Soontorngun has authored 34 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Biomedical Engineering and 5 papers in Pharmacology. Recurrent topics in Nitnipa Soontorngun's work include Fungal and yeast genetics research (15 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and Biofuel production and bioconversion (11 papers). Nitnipa Soontorngun is often cited by papers focused on Fungal and yeast genetics research (15 papers), Microbial Metabolic Engineering and Bioproduction (14 papers) and Biofuel production and bioconversion (11 papers). Nitnipa Soontorngun collaborates with scholars based in Thailand, Malaysia and Poland. Nitnipa Soontorngun's co-authors include François Robert, Bernard Turcotte, Andriy А. Sibirny, Lee Suan Chua, Khanok Ratanakhanokchai, Khanok Ratanakhanokchai, Laran T. Jensen, Marta V. Semkiv, Marc Larochelle and Simon Drouin and has published in prestigious journals such as Molecular and Cellular Biology, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Nitnipa Soontorngun

34 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitnipa Soontorngun Thailand 17 543 244 134 132 67 34 794
Shyang‐Chwen Sheu Taiwan 15 291 0.5× 163 0.7× 125 0.9× 162 1.2× 86 1.3× 36 618
Aabid Manzoor Shah China 16 348 0.6× 93 0.4× 109 0.8× 132 1.0× 208 3.1× 39 736
Martin Sievers Switzerland 13 336 0.6× 97 0.4× 216 1.6× 68 0.5× 34 0.5× 33 629
Feiyu Fan China 18 722 1.3× 180 0.7× 42 0.3× 134 1.0× 106 1.6× 36 881
A. Belarbi France 15 343 0.6× 148 0.6× 253 1.9× 339 2.6× 37 0.6× 31 776
Zhihong Hu China 14 369 0.7× 42 0.2× 94 0.7× 198 1.5× 142 2.1× 34 609
Chaogeng Xiao China 15 258 0.5× 118 0.5× 191 1.4× 74 0.6× 15 0.2× 51 679
Hengqian Lu China 14 281 0.5× 73 0.3× 106 0.8× 54 0.4× 49 0.7× 28 523
Francesca Cecchini Italy 14 241 0.4× 85 0.3× 271 2.0× 300 2.3× 34 0.5× 27 771
Mohd Hafis Yuswan Malaysia 12 196 0.4× 89 0.4× 125 0.9× 128 1.0× 61 0.9× 26 470

Countries citing papers authored by Nitnipa Soontorngun

Since Specialization
Citations

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

Fields of papers citing papers by Nitnipa Soontorngun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitnipa Soontorngun

This figure shows the co-authorship network connecting the top 25 collaborators of Nitnipa Soontorngun. A scholar is included among the top collaborators of Nitnipa Soontorngun 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 Nitnipa Soontorngun. Nitnipa Soontorngun 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.
Butkinaree, Chutikarn, et al.. (2025). Elucidating a novel metabolic pathway for enhanced antimicrobial glycolipid biosurfactant production in the yeast Meyerozyma guilliermondii. Scientific Reports. 15(1). 18233–18233. 2 indexed citations
2.
Puttarak, Panupong, et al.. (2025). Yeast-derived glycolipids disrupt Candida biofilm and inhibit expression of genes in cell adhesion. Scientific Reports. 15(1). 20405–20405. 1 indexed citations
3.
Paemanee, Atchara, et al.. (2025). Integrated omic analysis of a new flavor yeast strain in fermented rice milk. FEMS Yeast Research. 25. 3 indexed citations
4.
Vandecruys, Paul, et al.. (2024). New biomarkers underlying acetic acid tolerance in the probiotic yeast Saccharomyces cerevisiae var. boulardii. Applied Microbiology and Biotechnology. 108(1). 153–153. 7 indexed citations
5.
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Maneerat, Suppasil, et al.. (2024). Enhanced production of yeast biosurfactant sophorolipids using yeast extract or the alternative nitrogen source soybean meal. Industrial Crops and Products. 210. 118089–118089. 10 indexed citations
7.
Ratanakhanokchai, Khanok, et al.. (2023). Inhibition of cell cycle-dependent hyphal and biofilm formation by a novel cytochalasin 19,20‑epoxycytochalasin Q in Candida albicans. Scientific Reports. 13(1). 9724–9724. 12 indexed citations
8.
9.
Wattanachaisaereekul, Songsak, et al.. (2022). Media optimization of antimicrobial activity production and beta-glucan content of endophytic fungi Xylaria sp. BCC 1067. Biotechnology Reports. 35. e00742–e00742. 7 indexed citations
10.
11.
Suksamrarn, Apichart, et al.. (2022). Model yeast as a versatile tool to examine the antioxidant and anti-ageing potential of flavonoids, extracted from medicinal plants. Frontiers in Pharmacology. 13. 980066–980066. 19 indexed citations
12.
Soontorngun, Nitnipa, et al.. (2021). Selection of Potential Yeast Probiotics and a Cell Factory for Xylitol or Acid Production from Honeybee Samples. Metabolites. 11(5). 312–312. 27 indexed citations
13.
14.
Ratanakhanokchai, Khanok, et al.. (2021). Reprogramming of the Ethanol Stress Response in Saccharomyces cerevisiae by the Transcription Factor Znf1 and Its Effect on the Biosynthesis of Glycerol and Ethanol. Applied and Environmental Microbiology. 87(16). e0058821–e0058821. 33 indexed citations
15.
Chua, Lee Suan, et al.. (2017). Phytochemical profile of Orthosiphon aristatus extracts after storage: Rosmarinic acid and other caffeic acid derivatives. Phytomedicine. 39. 49–55. 32 indexed citations
16.
Ruchała, Justyna, Olena Kurylenko, Nitnipa Soontorngun, Kostyantyn Dmytruk, & Andriy А. Sibirny. (2017). Transcriptional activator Cat8 is involved in regulation of xylose alcoholic fermentation in the thermotolerant yeast Ogataea (Hansenula) polymorpha. Microbial Cell Factories. 16(1). 36–36. 29 indexed citations
17.
Kurylenko, Olena, et al.. (2016). The zinc cluster transcriptional regulator Asg1 transcriptionally coordinates oleate utilization and lipid accumulation in Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 100(10). 4549–4560. 16 indexed citations
18.
Semkiv, Marta V., et al.. (2015). Zinc cluster protein Znf1, a novel transcription factor of non-fermentative metabolism in Saccharomyces cerevisiae. FEMS Yeast Research. 15(2). 57 indexed citations
19.
Soontorngun, Nitnipa, et al.. (2012). Genome-wide location analysis reveals an important overlap between the targets of the yeast transcriptional regulators Rds2 and Adr1. Biochemical and Biophysical Research Communications. 423(4). 632–637. 19 indexed citations
20.
Turcotte, Bernard, et al.. (2009). Transcriptional regulation of nonfermentable carbon utilization in budding yeast. FEMS Yeast Research. 10(1). 2–13. 212 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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