Chamras Promptmas

956 total citations
65 papers, 751 citations indexed

About

Chamras Promptmas is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Chamras Promptmas has authored 65 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 18 papers in Biomedical Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Chamras Promptmas's work include Advanced biosensing and bioanalysis techniques (18 papers), Analytical Chemistry and Sensors (11 papers) and Biosensors and Analytical Detection (10 papers). Chamras Promptmas is often cited by papers focused on Advanced biosensing and bioanalysis techniques (18 papers), Analytical Chemistry and Sensors (11 papers) and Biosensors and Analytical Detection (10 papers). Chamras Promptmas collaborates with scholars based in Thailand, Germany and United States. Chamras Promptmas's co-authors include Sarin Chimnaronk, Adisorn Tuantranont, Wutthinan Jeamsaksiri, Antje J. Baeumner, Wanida Ittarat, Patcharee Jearanaikoon, Witsaroot Sripumkhai, Chanan Angsuthanasombat, Assawapong Sappat and Anurat Wisitsoraat and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Chamras Promptmas

59 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chamras Promptmas Thailand 16 401 386 196 85 83 65 751
Dênio Emanuel Pires Souto Brazil 15 456 1.1× 348 0.9× 300 1.5× 94 1.1× 100 1.2× 36 900
Ruben R. G. Soares Portugal 22 485 1.2× 670 1.7× 122 0.6× 42 0.5× 112 1.3× 50 1.2k
Yasmin Mustapha Kamil Malaysia 16 243 0.6× 359 0.9× 465 2.4× 99 1.2× 97 1.2× 42 836
Jonathan Sabaté del Río South Korea 15 431 1.1× 471 1.2× 216 1.1× 96 1.1× 56 0.7× 20 820
Anna Miodek France 17 624 1.6× 314 0.8× 242 1.2× 80 0.9× 85 1.0× 21 807
Pavel Damborský Slovakia 11 570 1.4× 494 1.3× 187 1.0× 59 0.7× 90 1.1× 12 847
Stephen Hearty Ireland 21 1.1k 2.8× 893 2.3× 246 1.3× 83 1.0× 119 1.4× 36 1.8k
Lakshmi N. Cella United States 10 374 0.9× 261 0.7× 183 0.9× 65 0.8× 152 1.8× 10 564
Il‐Hoon Cho South Korea 12 527 1.3× 476 1.2× 222 1.1× 65 0.8× 130 1.6× 20 886
Ludmila Krejčová Czechia 18 448 1.1× 505 1.3× 137 0.7× 48 0.6× 147 1.8× 49 1.2k

Countries citing papers authored by Chamras Promptmas

Since Specialization
Citations

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

Fields of papers citing papers by Chamras Promptmas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chamras Promptmas

This figure shows the co-authorship network connecting the top 25 collaborators of Chamras Promptmas. A scholar is included among the top collaborators of Chamras Promptmas 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 Chamras Promptmas. Chamras Promptmas 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.
Therasakvichya, Suwanit, et al.. (2025). Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population. Scientific Reports. 15(1). 142–142. 3 indexed citations
2.
Lam, Eric W.‐F., et al.. (2025). A chemically tunable FOXM1–DHFR sensor reveals the direct influence of FOXM1 on the cell cycle. Journal of Cell Science. 138(14).
4.
Sripumkhai, Witsaroot, et al.. (2023). On Classification of Water-in-Oil and Oil-in-Water Droplet Generation Regimes in Flow-Focusing Microfluidic Devices. Colloids and Interfaces. 7(1). 17–17. 1 indexed citations
5.
Promptmas, Chamras, et al.. (2023). Nucleic Acid Amplification Free-QCM-DNA Biosensor for Burkholderia pseudomallei Detection. Current Microbiology. 80(12). 376–376. 1 indexed citations
6.
Lertanantawong, Benchaporn, et al.. (2023). A Label-Free Electrochemical Biosensor for Homocysteine Detection Using Molecularly Imprinted Polymer and Nanocomposite-Modified Electrodes. Polymers. 15(10). 2241–2241. 7 indexed citations
7.
Chaibun, Thanyarat, Nimaradee Boonapatcharoen, Chamras Promptmas, et al.. (2023). Detection of high-risk HPV 16 genotypes in cervical cancers using isothermal DNA amplification with electrochemical genosensor. Talanta. 269. 125495–125495. 13 indexed citations
8.
Lertanantawong, Benchaporn, et al.. (2022). A Prussian Blue Modified Electrode Based Amperometric Sensor for Lactate Determination. 1–5. 2 indexed citations
9.
Promptmas, Chamras, et al.. (2019). Optimization of 3-aminopropyltriethoxysilane functionalization on silicon nitride surface for biomolecule immobilization. Talanta. 207. 120305–120305. 22 indexed citations
10.
Jearanaikoon, Patcharee, et al.. (2015). The evaluation of loop-mediated isothermal amplification-quartz crystal microbalance (LAMP-QCM) biosensor as a real-time measurement of HPV16 DNA. Journal of Virological Methods. 229. 8–11. 25 indexed citations
11.
Promptmas, Chamras, et al.. (2014). Silver quartz crystal microbalance for differential diagnosis of Plasmodium falciparum and Plasmodium vivax in single and mixed infection. Biosensors and Bioelectronics. 62. 295–301. 17 indexed citations
12.
Sritongkham, Pornpimol, et al.. (2014). Genotyping of α-thalassemias by the colorimetric nanogold probes. Clinica Chimica Acta. 437. 197–202. 5 indexed citations
13.
Jaruwongrungsee, Kata, et al.. (2014). Piezoresistive microcantilever-based DNA sensor for sensitive detection of pathogenic Vibrio cholerae O1 in food sample. Biosensors and Bioelectronics. 63. 347–353. 34 indexed citations
14.
Sritongkham, Pornpimol, et al.. (2013). Molecular diagnosis of α-thalassemias by the colorimetric nanogold. The Analyst. 139(4). 813–813. 4 indexed citations
15.
Ittarat, Wanida, et al.. (2013). Biosensor as a molecular malaria differential diagnosis. Clinica Chimica Acta. 419. 47–51. 29 indexed citations
16.
Leelayuwat, Chanvit, Chamras Promptmas, Temduang Limpaiboon, et al.. (2012). The development of DNA-based quartz crystal microbalance integrated with isothermal DNA amplification system for human papillomavirus type 58 detection. Biosensors and Bioelectronics. 40(1). 252–257. 44 indexed citations
17.
Promptmas, Chamras, et al.. (2011). ALBUMIN DETECTION USING QUARTZ CRYSTAL MICROBALANCE TRANSDUCER AND PIERCE CIRCUIT. 2011(39). 53–57. 1 indexed citations
18.
Promptmas, Chamras, et al.. (2010). Two novel D151Y and M391T LDLR mutations causing LDLR transport defects in Thai patients with Familial hypercholesterolemia. Clinica Chimica Acta. 411(21-22). 1656–1661. 6 indexed citations
20.
Promptmas, Chamras, et al.. (2008). Molecular modeling of D151Y and M391T mutations in the LDL receptor. Biochemical and Biophysical Research Communications. 377(2). 355–360. 4 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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