Steven Lai

706 total citations
9 papers, 578 citations indexed

About

Steven Lai is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Steven Lai has authored 9 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Biomedical Engineering. Recurrent topics in Steven Lai's work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Steven Lai is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Steven Lai collaborates with scholars based in United States, United Kingdom and Australia. Steven Lai's co-authors include Giuseppe Astarita, Giuseppe Paglia, Peggi M. Angel, Robert S. Plumb, David F. Grant, James Langridge, Lochana C. Menikarachchi, Jonathan P. Williams, Hernando J. Olivos and Callee M. Walsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Journal of Chromatography A.

In The Last Decade

Steven Lai

8 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Lai United States 8 442 294 84 52 35 9 578
Rose M. Gathungu United States 12 402 0.9× 200 0.7× 65 0.8× 46 0.9× 10 0.3× 18 613
James J. Ellinger United States 13 451 1.0× 72 0.2× 187 2.2× 76 1.5× 37 1.1× 16 716
Miriam Sindelar United States 15 724 1.6× 128 0.4× 133 1.6× 67 1.3× 12 0.3× 17 1.0k
M. Lisa Manier United States 13 242 0.5× 171 0.6× 50 0.6× 29 0.6× 28 0.8× 18 512
Jacob Folz United States 10 318 0.7× 87 0.3× 68 0.8× 47 0.9× 4 0.1× 16 449
Haruhito Tsutsui Japan 15 450 1.0× 214 0.7× 143 1.7× 67 1.3× 4 0.1× 18 617
Natalia E. Moskaleva Russia 12 165 0.4× 48 0.2× 58 0.7× 17 0.3× 13 0.4× 59 418
Vasant R. Marur United States 9 472 1.1× 223 0.8× 91 1.1× 25 0.5× 5 0.1× 13 597
Karlien L. M. Coene Netherlands 13 492 1.1× 128 0.4× 73 0.9× 18 0.3× 6 0.2× 32 695
Bing Bai China 9 264 0.6× 58 0.2× 156 1.9× 15 0.3× 9 0.3× 20 465

Countries citing papers authored by Steven Lai

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Lai. A scholar is included among the top collaborators of Steven Lai 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 Steven Lai. Steven Lai 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.
Wilson, Ian D., Corey D. Broeckling, Lee A. Gethings, et al.. (2023). Development of a single mobile phase for LC-IM-MS-based discovery lipidomics and metabolic phenotyping: Application to methapyrilene hepatotoxicity in the rat. Journal of Chromatography A. 1714. 464552–464552.
3.
Watschinger, Katrin, Markus A. Keller, Eileen McNeill, et al.. (2015). Tetrahydrobiopterin and alkylglycerol monooxygenase substantially alter the murine macrophage lipidome. Proceedings of the National Academy of Sciences. 112(8). 2431–2436. 49 indexed citations
4.
Paglia, Giuseppe, Matteo Stocchero, Stefano Cacciatore, et al.. (2015). Unbiased Metabolomic Investigation of Alzheimer’s Disease Brain Points to Dysregulation of Mitochondrial Aspartate Metabolism. Journal of Proteome Research. 15(2). 608–618. 107 indexed citations
6.
Paglia, Giuseppe, Peggi M. Angel, Jonathan P. Williams, et al.. (2014). Ion Mobility-Derived Collision Cross Section As an Additional Measure for Lipid Fingerprinting and Identification. Analytical Chemistry. 87(2). 1137–1144. 242 indexed citations
7.
Laiakis, Evagelia C., Katrin Strassburg, Ralf Bogumil, et al.. (2014). Metabolic Phenotyping Reveals a Lipid Mediator Response to Ionizing Radiation. Journal of Proteome Research. 13(9). 4143–4154. 62 indexed citations
8.
Hill, Dennis W., et al.. (2012). Correlation of Ecom 50 values between mass spectrometers: effect of collision cell radiofrequency voltage on calculated survival yield. Rapid Communications in Mass Spectrometry. 26(19). 2303–2310. 21 indexed citations
9.
Menikarachchi, Lochana C., Dennis W. Hill, L. Mark Hall, et al.. (2012). MolFind: A Software Package Enabling HPLC/MS-Based Identification of Unknown Chemical Structures. Analytical Chemistry. 84(21). 9388–9394. 48 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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