Thy Truong

1.1k total citations
18 papers, 693 citations indexed

About

Thy Truong is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Thy Truong has authored 18 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Spectroscopy, 11 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Thy Truong's work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (11 papers) and Single-cell and spatial transcriptomics (5 papers). Thy Truong is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (11 papers) and Single-cell and spatial transcriptomics (5 papers). Thy Truong collaborates with scholars based in United States, India and Bangladesh. Thy Truong's co-authors include Ryan Kelly, Yiran Liang, Yongzheng Cong, Ying Zhu, Khatereh Motamedchaboki, Daniel López‐Ferrer, Romain Huguet, Edward D. Plowey, Amanda J. Guise and Santosh A. Misal and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Journal of Chromatography A.

In The Last Decade

Thy Truong

18 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thy Truong United States	13	546	479	199	60	20	18	693
Sarah Williams United States	13	468 0.9×	439 0.9×	153 0.8×	54 0.9×	16 0.8×	21	714
R. Gray Huffman United States	6	514 0.9×	649 1.4×	108 0.5×	90 1.5×	9 0.5×	7	794
Camille Lombard‐Banek United States	12	430 0.8×	390 0.8×	178 0.9×	50 0.8×	7 0.3×	16	599
Aleksandra A. Petelski United States	6	309 0.6×	520 1.1×	77 0.4×	59 1.0×	7 0.3×	9	683
Rosemary M. Onjiko United States	8	363 0.7×	360 0.8×	123 0.6×	41 0.7×	2 0.1×	10	498
Marvin Thielert Germany	9	363 0.7×	523 1.1×	73 0.4×	65 1.1×	3 0.1×	15	664
Nil Üresin Denmark	5	208 0.4×	289 0.6×	54 0.3×	26 0.4×	7 0.3×	8	364
Marialaura Dilillo Italy	12	233 0.4×	253 0.5×	34 0.2×	19 0.3×	1 0.1×	14	414
Erika P. Portero United States	8	214 0.4×	218 0.5×	81 0.4×	23 0.4×	1 0.1×	11	300
Jean‐Pascal Gimeno France	13	187 0.3×	258 0.5×	22 0.1×	16 0.3×	1 0.1×	14	390

Countries citing papers authored by Thy Truong

Since Specialization

Citations

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

Fields of papers citing papers by Thy Truong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thy Truong

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

All Works

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18 of 18 papers shown

1.

Xie, Xiaofeng, Thy Truong, Siqi Huang, et al.. (2024). Multicolumn Nanoflow Liquid Chromatography with Accelerated Offline Gradient Generation for Robust and Sensitive Single-Cell Proteome Profiling. Analytical Chemistry. 96(26). 10534–10542. 8 indexed citations

2.

Webber, Kei G. I., Siqi Huang, Thy Truong, et al.. (2024). Open-tubular trap columns: towards simple and robust liquid chromatography separations for single-cell proteomics. Molecular Omics. 20(3). 184–191. 3 indexed citations

3.

Truong, Thy & Ryan Kelly. (2024). What’s new in single-cell proteomics. Current Opinion in Biotechnology. 86. 103077–103077. 12 indexed citations

4.

Guise, Amanda J., Santosh A. Misal, Richard H. Carson, et al.. (2024). TDP-43-stratified single-cell proteomics of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis. Cell Reports. 43(1). 113636–113636. 18 indexed citations

5.

Truong, Thy, Kei G. I. Webber, Hannah Boekweg, et al.. (2023). Data‐Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label‐Free Single‐Cell Proteomics**. Angewandte Chemie. 135(34). 9 indexed citations

6.

Truong, Thy, Kei G. I. Webber, Hannah Boekweg, et al.. (2023). Data‐Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label‐Free Single‐Cell Proteomics**. Angewandte Chemie International Edition. 62(34). e202303415–e202303415. 33 indexed citations

7.

Liang, Yiran, Thy Truong, Hannah Boekweg, et al.. (2023). HyperSCP: Combining Isotopic and Isobaric Labeling for Higher Throughput Single-Cell Proteomics. Analytical Chemistry. 95(20). 8020–8027. 19 indexed citations

8.

Truong, Thy, et al.. (2023). Easy and Accessible Workflow for Label-Free Single-Cell Proteomics. Journal of the American Society for Mass Spectrometry. 34(10). 2374–2380. 26 indexed citations

9.

Webber, Kei G. I., et al.. (2023). Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics. Journal of the American Society for Mass Spectrometry. 34(8). 1701–1707. 24 indexed citations

10.

Webber, Kei G. I., Thy Truong, Yiran Liang, et al.. (2022). Label-Free Profiling of up to 200 Single-Cell Proteomes per Day Using a Dual-Column Nanoflow Liquid Chromatography Platform. Analytical Chemistry. 94(15). 6017–6025. 56 indexed citations

11.

Misal, Santosh A., Thy Truong, Richard H. Carson, et al.. (2022). In-Depth Mass Spectrometry-Based Proteomics of Formalin-Fixed, Paraffin-Embedded Tissues with a Spatial Resolution of 50–200 μm. Journal of Proteome Research. 21(9). 2237–2245. 28 indexed citations

12.

Boekweg, Hannah, Thy Truong, Amanda J. Guise, et al.. (2021). Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. Journal of Proteome Research. 21(1). 182–188. 24 indexed citations

13.

Liang, Yiran, Hannah Boekweg, Thy Truong, et al.. (2021). Correction to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling. Analytical Chemistry. 93(13). 5651–5651. 1 indexed citations

14.

Truong, Thy, Yiran Liang, Kei G. I. Webber, et al.. (2020). Adapting a Low-Cost and Open-Source Commercial Pipetting Robot for Nanoliter Liquid Handling. SLAS TECHNOLOGY. 26(3). 311–319. 17 indexed citations

15.

Cong, Yongzheng, Yiran Liang, Khatereh Motamedchaboki, et al.. (2020). Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry. Analytical Chemistry. 92(3). 2665–2671. 124 indexed citations

16.

Cong, Yongzheng, Khatereh Motamedchaboki, Santosh A. Misal, et al.. (2020). Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell. Chemical Science. 12(3). 1001–1006. 178 indexed citations

17.

Liang, Yiran, Hannah Boekweg, Thy Truong, et al.. (2020). Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling. Analytical Chemistry. 93(3). 1658–1666. 82 indexed citations

18.

Xie, Xiaofeng, Luke T. Tolley, Thy Truong, et al.. (2017). Dual-wavelength light-emitting diode-based ultraviolet absorption detector for nano-flow capillary liquid chromatography. Journal of Chromatography A. 1523. 242–247. 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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