Tina Tsui

402 total citations
9 papers, 153 citations indexed

About

Tina Tsui is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Tina Tsui has authored 9 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Spectroscopy and 1 paper in Surgery. Recurrent topics in Tina Tsui's work include Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Tina Tsui is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Tina Tsui collaborates with scholars based in United States. Tina Tsui's co-authors include Richard M. Caprioli, Jeremy L. Norris, Bo Yang, Nathan Heath Patterson, Danielle Gutierrez, Melissa A. Farrow, John A. McLean, Stacy D. Sherrod, Zeqiang Ma and Amy‐Joan L. Ham and has published in prestigious journals such as Bioinformatics, Infection and Immunity and eLife.

In The Last Decade

Tina Tsui

9 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tina Tsui United States 7 103 50 36 22 17 9 153
Constance A. Sobsey Canada 5 155 1.5× 51 1.0× 14 0.4× 10 0.5× 29 1.7× 9 230
Nicolàs Palacio‐Escat Germany 4 175 1.7× 16 0.3× 10 0.3× 18 0.8× 9 0.5× 5 245
Qinfeng Liu United States 6 179 1.7× 92 1.8× 23 0.6× 27 1.2× 9 0.5× 8 268
Verena M. Prade Germany 8 109 1.1× 50 1.0× 27 0.8× 38 1.7× 5 0.3× 12 170
Yaoting Sun China 9 142 1.4× 43 0.9× 11 0.3× 34 1.5× 3 0.2× 17 233
Qing K. Li United States 5 133 1.3× 100 2.0× 45 1.3× 18 0.8× 3 0.2× 7 231
Aaron T. Griffin United States 7 132 1.3× 8 0.2× 16 0.4× 15 0.7× 47 2.8× 13 192
LiAng Yao China 6 173 1.7× 44 0.9× 37 1.0× 52 2.4× 4 0.2× 12 272
Elisa Benedetti United States 10 184 1.8× 22 0.4× 47 1.3× 97 4.4× 8 0.5× 15 288
Evelyne Louis Belgium 9 161 1.6× 26 0.5× 40 1.1× 76 3.5× 3 0.2× 15 249

Countries citing papers authored by Tina Tsui

Since Specialization
Citations

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

Fields of papers citing papers by Tina Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Tsui

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Tsui. A scholar is included among the top collaborators of Tina Tsui 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 Tina Tsui. Tina Tsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Fortier, Guillaume, M. Blanca Piazuelo, Michelle L. Reyzer, et al.. (2025). Helicobacter pylori CagA and Cag type IV secretion system activity have key roles in triggering gastric transcriptional and proteomic alterations. Infection and Immunity. 93(4). e0059524–e0059524. 4 indexed citations
2.
Howard, Gregory C., Jing Wang, Kristie L. Rose, et al.. (2023). Ribosome subunit attrition and activation of the p53–MDM4 axis dominate the response of MLL-rearranged cancer cells to WDR5 WIN site inhibition. eLife. 12. 9 indexed citations
3.
Harris, Leonard A., Danielle Gutierrez, Melissa A. Farrow, et al.. (2022). Processes in DNA damage response from a whole-cell multi-omics perspective. iScience. 25(11). 105341–105341. 6 indexed citations
4.
Yang, Bo, Tina Tsui, Richard M. Caprioli, & Jeremy L. Norris. (2019). Sample Preparation and Analysis of Single Cells Using High Performance MALDI FTICR Mass Spectrometry. Methods in molecular biology. 2064. 125–134. 10 indexed citations
5.
Palmer, Lauren D., Ashley Jordan, K. Nichole Maloney, et al.. (2019). Zinc intoxication induces ferroptosis in A549 human lung cells. Metallomics. 11(5). 982–993. 44 indexed citations
6.
Yang, Bo, Nathan Heath Patterson, Tina Tsui, Richard M. Caprioli, & Jeremy L. Norris. (2018). Single-Cell Mass Spectrometry Reveals Changes in Lipid and Metabolite Expression in RAW 264.7 Cells upon Lipopolysaccharide Stimulation. Journal of the American Society for Mass Spectrometry. 29(5). 1012–1020. 36 indexed citations
7.
Norris, Jeremy L., Tina Tsui, Danielle Gutierrez, & Richard M. Caprioli. (2016). Pathology interface for the molecular analysis of tissue by mass spectrometry. Journal of Pathology Informatics. 7(1). 13–13. 9 indexed citations
8.
Ma, Zeqiang, David L. Tabb, Matthew Chambers, et al.. (2011). Supporting tool suite for production proteomics. Bioinformatics. 27(22). 3214–3215. 29 indexed citations
9.
Ganesan, Dharmalingam, et al.. (2010). Architectural Analysis of Systems Based on the Publisher-Subscriber Style. NASA STI Repository (National Aeronautics and Space Administration). 51. 173–182. 6 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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