Gordon Slysz

1.4k total citations
26 papers, 1.0k citations indexed

About

Gordon Slysz is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Gordon Slysz has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Spectroscopy and 5 papers in Cell Biology. Recurrent topics in Gordon Slysz's work include Mass Spectrometry Techniques and Applications (16 papers), Advanced Proteomics Techniques and Applications (12 papers) and Analytical Chemistry and Chromatography (7 papers). Gordon Slysz is often cited by papers focused on Mass Spectrometry Techniques and Applications (16 papers), Advanced Proteomics Techniques and Applications (12 papers) and Analytical Chemistry and Chromatography (7 papers). Gordon Slysz collaborates with scholars based in United States, Canada and Germany. Gordon Slysz's co-authors include David C. Schriemer, Gordon Anderson, Richard Smith, Andrew J. Percy, Julia Laskin, David L. Bones, Lucas Q. Nguyen, Alexander Laskin, Patrick J. Roach and Sergey A. Nizkorodov and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Gordon Slysz

25 papers receiving 1.0k citations

Peers

Gordon Slysz

SPECT

Benjamin F. Mann United States

Emmanuelle Leize‐Wagner France

Weisi Wang China

Ann M. Dixon United Kingdom

Steven P. Rafferty Canada

Nico Zinn Germany

Dražen Petrov Austria

Elsa Wagner France

Gloria Fuentes Singapore

Benjamin F. Mann United States

Gordon Slysz

961 ×1.7

582 ×1.2

SPECT

64 ×0.4

55 ×0.4

360 ×2.8

Citations per year, relative to Gordon Slysz Gordon Slysz (= 1×) peers Benjamin F. Mann

Countries citing papers authored by Gordon Slysz

Since Specialization

Citations

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

Fields of papers citing papers by Gordon Slysz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Slysz

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

All Works

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20 of 20 papers shown

Slysz, Gordon, et al.. (2025). Increasing Oligonucleotide Sequencing Information and Throughput with Ion Mobility Spectrometry–Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 36(7). 1493–1502.

Stow, Sarah M., et al.. (2024). Exploring Ion Mobility Mass Spectrometry Data File Conversions to Leverage Existing Tools and Enable New Workflows. Journal of the American Society for Mass Spectrometry. 35(8). 1991–2001. 2 indexed citations

Steinke, Laurey, Gordon Slysz, Mary Lipton, et al.. (2020). Short-Term Stable Isotope Probing of Proteins Reveals Taxa Incorporating Inorganic Carbon in a Hot Spring Microbial Mat. Applied and Environmental Microbiology. 86(7). 13 indexed citations

Pena, Aivett Bilbao, Gordon Slysz, Kevin L. Crowell, et al.. (2017). An algorithm to correct saturated mass spectrometry ion abundances for enhanced quantitation and mass accuracy in omic studies. International Journal of Mass Spectrometry. 427. 91–99. 24 indexed citations

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

Slysz, Gordon, Laurey Steinke, David M. Ward, et al.. (2014). Automated Data Extraction from In Situ Protein-Stable Isotope Probing Studies. Journal of Proteome Research. 13(3). 1200–1210. 16 indexed citations

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

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

Maxwell, Evan K., Yan Tan, Yuxiang Tan, et al.. (2012). GlycReSoft: A Software Package for Automated Recognition of Glycans from LC/MS Data. PLoS ONE. 7(9). e45474–e45474. 147 indexed citations

10.

Marginean, Ioan, Scott Kronewitter, Ronald Moore, et al.. (2012). Improving N-Glycan Coverage using HPLC-MS with Electrospray Ionization at Subambient Pressure. Analytical Chemistry. 84(21). 9208–9213. 14 indexed citations

11.

Adkins, Joshua, Gordon Slysz, Matthew Monroe, et al.. (2011). A Statistical Method for Assessing Peptide Identification Confidence in Accurate Mass and Time Tag Proteomics. Analytical Chemistry. 83(16). 6135–6140. 39 indexed citations

12.

Percy, Andrew J., Gordon Slysz, & David C. Schriemer. (2009). Surrogate H/D Detection Strategy for Protein Conformational Analysis Using MS/MS Data. Analytical Chemistry. 81(19). 7900–7907. 17 indexed citations

13.

Slysz, Gordon & David C. Schriemer. (2009). Integrating Accelerated Tryptic Digestion into Proteomics Workflows. Methods in molecular biology. 492. 241–254. 5 indexed citations

14.

Slysz, Gordon, et al.. (2009). Hydra: software for tailored processing of H/D exchange data from MS or tandem MS analyses. BMC Bioinformatics. 10(1). 162–162. 66 indexed citations

15.

Chik, John K., Gordon Slysz, Tyler Luchko, et al.. (2009). Correction to Structural Mass Spectrometry of the αβ-Tubulin Dimer Supports a Revised Model of Microtubule Assembly. Biochemistry. 48(40). 9704–9704. 1 indexed citations

16.

Huzil, J. Torin, John K. Chik, Gordon Slysz, et al.. (2008). A Unique Mode of Microtubule Stabilization Induced by Peloruside A. Journal of Molecular Biology. 378(5). 1016–1030. 98 indexed citations

17.

Slysz, Gordon, et al.. (2006). Detection and Identification of Sub-nanogram Levels of Protein in a NanoLC-Trypsin-MS System. Journal of Proteome Research. 5(8). 1959–1966. 62 indexed citations

18.

Slysz, Gordon & David C. Schriemer. (2005). Blending Protein Separation and Peptide Analysis through Real-Time Proteolytic Digestion. Analytical Chemistry. 77(6). 1572–1579. 79 indexed citations

19.

Peterson, Theresa C., Gordon Slysz, & Richard Isbrucker. (1998). The inhibitory effect of ursodeoxycholic acid and pentoxifylline on platelet derived growth factor-stimulated proliferation is distinct from an effect by cyclic AMP. Immunopharmacology. 39(3). 181–191. 15 indexed citations

20.

Stewart, John M., et al.. (1996). Ferriheme and ferroheme are isosteric inhibitors of fatty acid binding to rat liver fatty acid binding protein. Biochemistry and Cell Biology. 74(2). 249–255. 18 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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