Su-Hsiang Tseng

587 total citations
26 papers, 464 citations indexed

About

Su-Hsiang Tseng is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Analytical Chemistry. According to data from OpenAlex, Su-Hsiang Tseng has authored 26 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Health, Toxicology and Mutagenesis and 6 papers in Analytical Chemistry. Recurrent topics in Su-Hsiang Tseng's work include Identification and Quantification in Food (5 papers), Dye analysis and toxicity (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Su-Hsiang Tseng is often cited by papers focused on Identification and Quantification in Food (5 papers), Dye analysis and toxicity (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Su-Hsiang Tseng collaborates with scholars based in Taiwan, South Korea and China. Su-Hsiang Tseng's co-authors include Der‐Yuan Wang, Hwei‐Fang Cheng, Hung-Min Chang, Mingchih Fang, Chia-Ding Liao, Mei-Chih Lin, Shou-Chieh Huang, Chia-Fen Tsai, Wei-Ching Chen and Lijing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Analytical and Bioanalytical Chemistry.

In The Last Decade

Su-Hsiang Tseng

25 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su-Hsiang Tseng Taiwan 13 129 117 117 90 81 26 464
Rakesh Roshan Jha India 12 113 0.9× 59 0.5× 158 1.4× 48 0.5× 94 1.2× 24 481
Yoko UEMATSU Japan 10 111 0.9× 89 0.8× 91 0.8× 64 0.7× 54 0.7× 51 443
Barbara Benedetti Italy 13 97 0.8× 74 0.6× 145 1.2× 51 0.6× 65 0.8× 36 419
Lorenzo Ciofi Italy 17 130 1.0× 145 1.2× 188 1.6× 108 1.2× 34 0.4× 22 671
Mohammad Taghi Naseri Iran 13 88 0.7× 88 0.8× 195 1.7× 55 0.6× 48 0.6× 23 497
Diogo La Rosa Novo Brazil 15 51 0.4× 102 0.9× 155 1.3× 51 0.6× 54 0.7× 33 446
M. I. Cervera Spain 8 84 0.7× 108 0.9× 216 1.8× 212 2.4× 97 1.2× 8 535
Paul Wynne Australia 15 126 1.0× 88 0.8× 63 0.5× 43 0.5× 154 1.9× 25 603
Lucia Mainero Rocca Italy 14 126 1.0× 69 0.6× 215 1.8× 124 1.4× 73 0.9× 20 658
Felipe J. Lara-Ortega Spain 9 58 0.4× 43 0.4× 156 1.3× 98 1.1× 77 1.0× 12 345

Countries citing papers authored by Su-Hsiang Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Su-Hsiang Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Hsiang Tseng. 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 Su-Hsiang Tseng. The network helps show where Su-Hsiang Tseng may publish in the future.

Co-authorship network of co-authors of Su-Hsiang Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Hsiang Tseng. A scholar is included among the top collaborators of Su-Hsiang Tseng 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 Su-Hsiang Tseng. Su-Hsiang Tseng 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.
Yang, Chuankai, et al.. (2025). Development and analysis of 49 perfluoroalkyl and polyfluoroalkyl substances (PFASs) in contact lenses using liquid chromatography-tandem mass spectrometry (LC–MS/MS). Analytical and Bioanalytical Chemistry. 417(16). 3633–3650. 1 indexed citations
2.
Tseng, Su-Hsiang, et al.. (2024). Determination and validation of polycyclic aromatichydrocarbons (PAH4) in katsuobushi, plant-basedfood supplements, and cocoa bean shells using GC-MS/MS. Journal of Food and Drug Analysis. 32(4). 472–481. 1 indexed citations
3.
Tseng, Su-Hsiang, et al.. (2023). Determination and evaluation of EPA and DHA ethyl esters in fish oils using the TMAH transesterification method. Journal of Food and Drug Analysis. 31(3). 436–445. 4 indexed citations
4.
Tseng, Su-Hsiang, et al.. (2023). Authentication of Coffee Blends by 16-O-Methylcafestol Quantification Using NMR Spectroscopy. Processes. 11(3). 871–871. 4 indexed citations
5.
Fang, Mingchih, et al.. (2023). High-efficient screening of pesticide residues in vegetables using gas chromatography/quadrupole time-of-flight (GC/Q-TOF). Journal of Food Composition and Analysis. 126. 105914–105914. 9 indexed citations
6.
Lin, Mei-Chih, et al.. (2022). Evaluation and optimization of a HS-SPME-assisted GC-MS/MS method for monitoring nitrosamine impurities in diverse pharmaceuticals. Journal of Pharmaceutical and Biomedical Analysis. 221. 115003–115003. 16 indexed citations
7.
8.
Tsai, Yi-Chen, et al.. (2022). Inorganic arsenic speciation analysis in food using HPLC/ICP-MS: Method development and validation. Journal of Food and Drug Analysis. 30(4). 644–653. 10 indexed citations
9.
Tsai, Chia-Fen, et al.. (2022). Stable carbon isotopic characterization of rice vinegar protein as an intrinsic reference for discriminating the authenticity of brewed rice vinegar. Journal of Food and Drug Analysis. 30(1). 38–45. 1 indexed citations
10.
Lin, Mei-Chih, et al.. (2021). Screening of Nitrosamine Impurities in Sartan Pharmaceuticals by GC-MS/MS. 12(2). 31–40. 11 indexed citations
11.
Fang, Mingchih, et al.. (2021). Determination of cannabinoids in hemp oil based cosmetic products by LC-tandem MS. Journal of Food and Drug Analysis. 29(3). 502–509. 17 indexed citations
12.
Fang, Mingchih, et al.. (2021). Comprehensive detection of 120 additives in food using nontargeted MS data acquisition. Journal of Food and Drug Analysis. 29(3). 419–432. 7 indexed citations
13.
Lin, Mei-Chih, et al.. (2021). Simultaneous LC-MS/MS screening for multiple phenethylamine-type conventional drugs and new psychoactive substances in urine. Forensic Science International. 325. 110884–110884. 16 indexed citations
14.
Lin, Mei-Chih, et al.. (2020). A LC-MS/MS method for determination of 73 synthetic cathinones and related metabolites in urine. Forensic Science International. 315. 110429–110429. 18 indexed citations
15.
Wang, Lijing, et al.. (2020). A multi-analyte LC-MS/MS method for screening and quantification of nitrosamines in sartans. Journal of Food and Drug Analysis. 28(2). 292–301. 54 indexed citations
16.
Chang, Shun‐Hsien, et al.. (2019). Multi-residue analysis using liquid chromatography tandem mass spectrometry for detection of 20 coccidiostats in poultry, livestock, and aquatic tissues. Journal of Food and Drug Analysis. 27(3). 703–716. 29 indexed citations
17.
Huang, Shou-Chieh, et al.. (2019). Determination of polycyclic aromatic hydrocarbons (PAHs) in cosmetic products by gas chromatography-tandem mass spectrometry. Journal of Food and Drug Analysis. 27(3). 815–824. 51 indexed citations
18.
Liao, Chia-Ding, et al.. (2017). Identification of 3-MCPD esters to verify the adulteration of extra virgin olive oil. Food Additives and Contaminants Part B. 10(3). 233–239. 16 indexed citations
19.
Tsai, Chia-Fen, et al.. (2015). Effective extraction method through alkaline hydrolysis for the detection of starch maleate in foods. Journal of Food and Drug Analysis. 23(3). 442–446. 5 indexed citations
20.
Fang, Mingchih, et al.. (2015). Identification and quantification of Cu-chlorophyll adulteration of edible oils. Food Additives and Contaminants Part B. 8(3). 157–162. 16 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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