Guoshou Teo

595 total citations
9 papers, 402 citations indexed

About

Guoshou Teo is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Guoshou Teo has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Biomedical Engineering. Recurrent topics in Guoshou Teo's work include Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Analytical Chemistry and Chromatography (2 papers). Guoshou Teo is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Analytical Chemistry and Chromatography (2 papers). Guoshou Teo collaborates with scholars based in Singapore, United States and Germany. Guoshou Teo's co-authors include Hyungwon Choi, Christine Vogel, Zhe Cheng, Hiromi W.L. Koh, Sabrina Krueger, Tara M. Rock, Sinae Kim, Ben C. Collins, Chih‐Chiang Tsou and Alexey I. Nesvizhskii and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and eLife.

In The Last Decade

Guoshou Teo

9 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guoshou Teo Singapore	9	283	96	53	47	37	9	402
Arfa Maqsood United Kingdom	12	363 1.3×	73 0.8×	36 0.7×	32 0.7×	28 0.8×	17	506
Anup D. Shah Australia	15	315 1.1×	63 0.7×	82 1.5×	49 1.0×	43 1.2×	29	535
Yvonne Reinders Germany	13	261 0.9×	52 0.5×	86 1.6×	27 0.6×	28 0.8×	25	496
Tejaswita M. Karve United States	6	266 0.9×	49 0.5×	29 0.5×	30 0.6×	39 1.1×	7	386
Rebecca Caffrey United States	9	223 0.8×	69 0.7×	43 0.8×	69 1.5×	136 3.7×	14	504
Magdalena Bakun Poland	9	151 0.5×	72 0.8×	26 0.5×	36 0.8×	19 0.5×	17	285
Ravi Tharakan United States	10	267 0.9×	64 0.7×	50 0.9×	112 2.4×	14 0.4×	18	361
Hugo Gagnon Canada	14	190 0.7×	48 0.5×	64 1.2×	30 0.6×	16 0.4×	26	361
Ryo Konno Japan	14	379 1.3×	107 1.1×	18 0.3×	74 1.6×	15 0.4×	48	684
Johanna von Gerichten United Kingdom	11	176 0.6×	60 0.6×	35 0.7×	80 1.7×	23 0.6×	29	323

Countries citing papers authored by Guoshou Teo

Since Specialization

Citations

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

Fields of papers citing papers by Guoshou Teo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoshou Teo

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chang, Jing, Guoshou Teo, Yael Pewzner‐Jung, et al.. (2023). Q-RAI data-independent acquisition for lipidomic quantitative profiling. Scientific Reports. 13(1). 19281–19281. 9 indexed citations

2.

Gao, Yan, Guoshou Teo, Hiromi W.L. Koh, et al.. (2021). Plasma Metabolome and Lipidome Associations with Type 2 Diabetes and Diabetic Nephropathy. Metabolites. 11(4). 228–228. 30 indexed citations

3.

Narayanaswamy, Pradeep, Guoshou Teo, Jin Rong Ow, et al.. (2020). MetaboKit: a comprehensive data extraction tool for untargeted metabolomics. Molecular Omics. 16(5). 436–447. 14 indexed citations

4.

Teo, Guoshou, Wee Siong Chew, Bo Burla, et al.. (2020). MRMkit: Automated Data Processing for Large-Scale Targeted Metabolomics Analysis. Analytical Chemistry. 92(20). 13677–13682. 13 indexed citations

5.

Cheng, Zhe, Shuvadeep Maity, Mathias Munschauer, et al.. (2018). New insights into the cellular temporal response to proteostatic stress. eLife. 7. 41 indexed citations

6.

Teo, Guoshou, et al.. (2017). PECAplus: statistical analysis of time-dependent regulatory changes in dynamic single-omics and dual-omics experiments. npj Systems Biology and Applications. 4(1). 3–3. 9 indexed citations

7.

Cheng, Zhe, Guoshou Teo, Sabrina Krueger, et al.. (2016). Differential dynamics of the mammalian mRNA and protein expression response to misfolding stress. Molecular Systems Biology. 12(1). 855–855. 161 indexed citations

8.

Teo, Guoshou, Sinae Kim, Chih‐Chiang Tsou, et al.. (2015). mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry. Journal of Proteomics. 129. 108–120. 106 indexed citations

9.

Teo, Guoshou, Christine Vogel, Debashis Ghosh, Sinae Kim, & Hyungwon Choi. (2013). PECA: A Novel Statistical Tool for Deconvoluting Time-Dependent Gene Expression Regulation. Journal of Proteome Research. 13(1). 29–37. 19 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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