Brian Lamarche

943 total citations
18 papers, 702 citations indexed

About

Brian Lamarche is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Brian Lamarche has authored 18 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Spectroscopy, 8 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Brian Lamarche's work include Mass Spectrometry Techniques and Applications (13 papers), Analytical Chemistry and Chromatography (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Brian Lamarche is often cited by papers focused on Mass Spectrometry Techniques and Applications (13 papers), Analytical Chemistry and Chromatography (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). Brian Lamarche collaborates with scholars based in United States. Brian Lamarche's co-authors include Richard Smith, Keqi Tang, Yehia Ibrahim, Ryan Kelly, Ronald Moore, David Prior, Gordon Anderson, Danny Orton, Eric A. Livesay and Derek Hopkins and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Brian Lamarche

17 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Lamarche United States 13 476 277 132 66 65 18 702
Ian Sinclair United Kingdom 12 179 0.4× 125 0.5× 87 0.7× 47 0.7× 14 0.2× 41 450
Ronny Müller Germany 11 124 0.3× 32 0.1× 202 1.5× 32 0.5× 47 0.7× 19 634
Delphine Debois Belgium 21 459 1.0× 572 2.1× 57 0.4× 56 0.8× 212 3.3× 28 1.4k
Zichuan Zhang China 20 216 0.5× 308 1.1× 172 1.3× 57 0.9× 15 0.2× 56 856
Manolo Plasencia United States 18 970 2.0× 658 2.4× 91 0.7× 19 0.3× 133 2.0× 21 1.4k
Jinzhi Chen China 14 447 0.9× 459 1.7× 195 1.5× 18 0.3× 11 0.2× 39 961
David K. Melgaard United States 14 67 0.1× 144 0.5× 116 0.9× 27 0.4× 20 0.3× 30 671
Anton N. Kozhinov Switzerland 16 556 1.2× 255 0.9× 83 0.6× 57 0.9× 98 1.5× 40 698
Roza Wojcik United States 20 822 1.7× 474 1.7× 539 4.1× 35 0.5× 40 0.6× 26 1.1k
Camilla Ricci United Kingdom 14 87 0.2× 119 0.4× 73 0.6× 19 0.3× 17 0.3× 16 867

Countries citing papers authored by Brian Lamarche

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lamarche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Lamarche

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

All Works

18 of 18 papers shown
1.
2.
Orton, Danny, Malak Tfaily, Ronald Moore, et al.. (2017). A Customizable Flow Injection System for Automated, High Throughput, and Time Sensitive Ion Mobility Spectrometry and Mass Spectrometry Measurements. Analytical Chemistry. 90(1). 737–744. 14 indexed citations
3.
Lin, Tiras Y., Gordon Anderson, Randolph V. Norheim, et al.. (2015). An adaptable multiple power source for mass spectrometry and other scientific instruments. Review of Scientific Instruments. 86(9). 94102–94102. 4 indexed citations
4.
Kronewitter, Scott, Gordon Slysz, Ioan Marginean, et al.. (2014). GlyQ-IQ: Glycomics Quintavariate-Informed Quantification with High-Performance Computing and GlycoGrid 4D Visualization. Analytical Chemistry. 86(13). 6268–6276. 7 indexed citations
5.
Webb, Ian, Sandilya Garimella, Aleksey V. Tolmachev, et al.. (2014). Experimental Evaluation and Optimization of Structures for Lossless Ion Manipulations for Ion Mobility Spectrometry with Time-of-Flight Mass Spectrometry. Analytical Chemistry. 86(18). 9169–9176. 102 indexed citations
6.
Webb, Ian, Sandilya Garimella, Aleksey V. Tolmachev, et al.. (2014). Mobility-Resolved Ion Selection in Uniform Drift Field Ion Mobility Spectrometry/Mass Spectrometry: Dynamic Switching in Structures for Lossless Ion Manipulations. Analytical Chemistry. 86(19). 9632–9637. 46 indexed citations
7.
Amidan, Brett G., Danny Orton, Brian Lamarche, et al.. (2014). Signatures for Mass Spectrometry Data Quality. Journal of Proteome Research. 13(4). 2215–2222. 17 indexed citations
8.
Crowell, Kevin L., Erin Baker, Samuel Payne, et al.. (2013). Increasing confidence of LC–MS identifications by utilizing ion mobility spectrometry. International Journal of Mass Spectrometry. 354-355. 312–317. 27 indexed citations
9.
Crowell, Kevin L., Gordon Slysz, Erin Baker, et al.. (2013). LC-IMS-MS Feature Finder: detecting multidimensional liquid chromatography, ion mobility and mass spectrometry features in complex datasets. Bioinformatics. 29(21). 2804–2805. 30 indexed citations
10.
Lamarche, Brian, Kevin L. Crowell, Navdeep Jaitly, et al.. (2013). MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis. BMC Bioinformatics. 14(1). 49–49. 27 indexed citations
11.
Weiland, Mark A., Zhiqun Deng, Brian Lamarche, et al.. (2011). A Cabled Acoustic Telemetry System for Detecting and Tracking Juvenile Salmon: Part 1. Engineering Design and Instrumentation. Sensors. 11(6). 5645–5660. 53 indexed citations
12.
Deng, Zhiqun, Mark A. Weiland, Tao Fu, et al.. (2011). A Cabled Acoustic Telemetry System for Detecting and Tracking Juvenile Salmon: Part 2. Three-Dimensional Tracking and Passage Outcomes. Sensors. 11(6). 5661–5676. 55 indexed citations
13.
Baker, Erin, Eric A. Livesay, Danny Orton, et al.. (2009). An LC-IMS-MS Platform Providing Increased Dynamic Range for High-Throughput Proteomic Studies. Journal of Proteome Research. 9(2). 997–1006. 105 indexed citations
14.
Marginean, Ioan, Ryan Kelly, David Prior, et al.. (2008). Analytical Characterization of the Electrospray Ion Source in the Nanoflow Regime. Analytical Chemistry. 80(17). 6573–6579. 70 indexed citations
15.
Marginean, Ioan, Ryan Kelly, Ronald Moore, et al.. (2008). Selection of the optimum electrospray voltage for gradient elution LC-MS measurements. Journal of the American Society for Mass Spectrometry. 20(4). 682–688. 17 indexed citations
16.
Perrine, Kenneth A., Brian Lamarche, Derek Hopkins, et al.. (2007). High speed method for in situ multispectral image registration. Microscopy Research and Technique. 70(4). 382–389. 2 indexed citations
17.
Livesay, Eric A., Keqi Tang, Derek Hopkins, et al.. (2007). Fully Automated Four-Column Capillary LC−MS System for Maximizing Throughput in Proteomic Analyses. Analytical Chemistry. 80(1). 294–302. 125 indexed citations
18.
Orrell, J. L., et al.. (2006). Performance of CdZnTe Detectors Grown by Low-Pressure Bridgman. 3. 1383–1385. 1 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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