Tung-Ting Sham

501 total citations
20 papers, 397 citations indexed

About

Tung-Ting Sham is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Tung-Ting Sham has authored 20 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Epidemiology. Recurrent topics in Tung-Ting Sham's work include Metabolomics and Mass Spectrometry Studies (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Traditional Chinese Medicine Analysis (4 papers). Tung-Ting Sham is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Traditional Chinese Medicine Analysis (4 papers). Tung-Ting Sham collaborates with scholars based in Hong Kong, China and United Kingdom. Tung-Ting Sham's co-authors include Daniel Kam‐Wah Mok, Chi-On Chan, Shun‐Wan Chan, Youhua Wang, Yiu Wa Kwan, Simon Maher, Huan Zhang, Zhitao Liang, Ling Yi and Hubiao Chen and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Tung-Ting Sham

19 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tung-Ting Sham Hong Kong 11 201 79 71 60 59 20 397
Eungyeong Jang South Korea 14 192 1.0× 100 1.3× 74 1.0× 89 1.5× 77 1.3× 39 446
Vishal S. Patil India 15 144 0.7× 63 0.8× 75 1.1× 49 0.8× 57 1.0× 65 458
Magda E. Mahmoud Egypt 10 96 0.5× 81 1.0× 52 0.7× 46 0.8× 54 0.9× 24 370
Qiyuan Shan China 14 272 1.4× 91 1.2× 89 1.3× 78 1.3× 77 1.3× 37 538
Ching‐Fen Wu Germany 15 201 1.0× 93 1.2× 67 0.9× 89 1.5× 78 1.3× 19 475
Mona N. BinMowyna Saudi Arabia 13 151 0.8× 65 0.8× 32 0.5× 37 0.6× 56 0.9× 30 430
Penumathsa Suresh Varma India 8 108 0.5× 103 1.3× 38 0.5× 46 0.8× 62 1.1× 9 379
Amr Y. Esmat Egypt 14 181 0.9× 65 0.8× 35 0.5× 42 0.7× 123 2.1× 25 574

Countries citing papers authored by Tung-Ting Sham

Since Specialization
Citations

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

Fields of papers citing papers by Tung-Ting Sham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tung-Ting Sham. 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 Tung-Ting Sham. The network helps show where Tung-Ting Sham may publish in the future.

Co-authorship network of co-authors of Tung-Ting Sham

This figure shows the co-authorship network connecting the top 25 collaborators of Tung-Ting Sham. A scholar is included among the top collaborators of Tung-Ting Sham 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 Tung-Ting Sham. Tung-Ting Sham 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.
Sham, Tung-Ting, Joanne Blair, Blair H. Smith, et al.. (2025). SERS-based lateral flow immunoassay utilising plasmonic nanoparticle clusters for ultra-sensitive detection of salivary cortisol. Nanoscale. 17(34). 19656–19665.
2.
Smith, Barry L., Tung-Ting Sham, Mark Burnley, et al.. (2024). Rapid differentiation of cystic fibrosis-related bacteria via reagentless atmospheric pressure photoionisation mass spectrometry. Scientific Reports. 14(1). 17067–17067. 2 indexed citations
3.
4.
Zhou, Yufeng, A. Malcolm Gill, Louise Bracken, et al.. (2024). Rapid and non-invasive analysis of paracetamol overdose using paper arrow-mass spectrometry: a prospective observational study. BMC Medicine. 22(1). 553–553. 2 indexed citations
5.
Zhou, Yufeng, Tung-Ting Sham, Barry L. Smith, et al.. (2023). Emergency diagnosis made easy: matrix removal and analyte enrichment from raw saliva using paper-arrow mass spectrometry. The Analyst. 148(21). 5366–5379. 7 indexed citations
6.
Sham, Tung-Ting, Tessa Prince, Adham Ahmed, et al.. (2023). Attaching protein-adsorbing silica particles to the surface of cotton substrates for bioaerosol capture including SARS-CoV-2. Nature Communications. 14(1). 5033–5033. 2 indexed citations
7.
Zhang, Huan, Tung-Ting Sham, Chang Li, et al.. (2023). Polygoni Cuspidati Rhizoma et Radix extract attenuates high-fat diet-induced NAFLD in rats: Impact on untargeted serum metabolomics and liver lipidomics. Pharmacological Research - Modern Chinese Medicine. 9. 100335–100335. 3 indexed citations
8.
Sham, Tung-Ting, Abraham K. Badu‐Tawiah, Stephen J McWilliam, & Simon Maher. (2022). Assessment of creatinine concentration in whole blood spheroids using paper spray ionization–tandem mass spectrometry. Scientific Reports. 12(1). 14308–14308. 12 indexed citations
9.
10.
Smith, Barry L., et al.. (2021). Ambient ion focusing for paper spray ionisation. International Journal of Mass Spectrometry. 471. 116737–116737. 10 indexed citations
11.
Tschida, Barbara R., Tung-Ting Sham, Branden S. Moriarity, et al.. (2019). HBx-K130M/V131I Promotes Liver Cancer in Transgenic Mice via AKT/FOXO1 Signaling Pathway and Arachidonic Acid Metabolism. Molecular Cancer Research. 17(7). 1582–1593. 27 indexed citations
12.
13.
Sham, Tung-Ting, Chi-On Chan, Xi Chen, et al.. (2018). A Metabolomics Study on the Bone Protective Effects of a Lignan-Rich Fraction From Sambucus Williamsii Ramulus in Aged Rats. Frontiers in Pharmacology. 9. 932–932. 21 indexed citations
14.
Sham, Tung-Ting, Huan Zhang, Daniel Kam‐Wah Mok, et al.. (2017). Chemical Analysis of Astragali Complanati Semen and Its Hypocholesterolemic Effect Using Serum Metabolomics Based on Gas Chromatography-Mass Spectrometry. Antioxidants. 6(3). 57–57. 10 indexed citations
15.
Sham, Tung-Ting, et al.. (2016). Cholesterol-lowering effects of piceatannol, a stilbene from wine, using untargeted metabolomics. Journal of Functional Foods. 28. 127–137. 17 indexed citations
16.
Tang, Philip Chiu‐Tsun, et al.. (2014). Semen Astragali Complanati: An ethnopharmacological, phytochemical and pharmacological review. Journal of Ethnopharmacology. 155(1). 39–53. 26 indexed citations
17.
Sham, Tung-Ting, et al.. (2014). A Review on the Traditional Chinese Medicinal Herbs and Formulae with Hypolipidemic Effect. BioMed Research International. 2014. 1–21. 90 indexed citations
18.
Sham, Tung-Ting, et al.. (2013). A Review of the Phytochemistry and Pharmacological Activities of Raphani Semen. Evidence-based Complementary and Alternative Medicine. 2013. 1–16. 51 indexed citations
19.
Liang, Zhitao, et al.. (2013). Profiling of secondary metabolites in tissues from Rheum palmatum L. using laser microdissection and liquid chromatography mass spectrometry. Analytical and Bioanalytical Chemistry. 405(12). 4199–4212. 32 indexed citations
20.
Wu, Jian, Gph Leung, Yiu Wa Kwan, et al.. (2013). Suppression of diet-induced hypercholesterolaemia by saponins from Panax notoginseng in rats. Journal of Functional Foods. 5(3). 1159–1169. 31 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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