Errol Robinson

3.0k total citations
43 papers, 2.2k citations indexed

About

Errol Robinson is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Errol Robinson has authored 43 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Spectroscopy, 14 papers in Molecular Biology and 9 papers in Biomedical Engineering. Recurrent topics in Errol Robinson's work include Mass Spectrometry Techniques and Applications (28 papers), Analytical Chemistry and Chromatography (13 papers) and Advanced Proteomics Techniques and Applications (12 papers). Errol Robinson is often cited by papers focused on Mass Spectrometry Techniques and Applications (28 papers), Analytical Chemistry and Chromatography (13 papers) and Advanced Proteomics Techniques and Applications (12 papers). Errol Robinson collaborates with scholars based in United States, Netherlands and Germany. Errol Robinson's co-authors include Ljiljana Paša‐Tolić, Richard Smith, Nikola Tolić, Evan R. Williams, Shawna Hengel, Si Wu, Malak Tfaily, Nancy Hess, Ryan Kelly and Erin Baker and has published in prestigious journals such as Chemical Society Reviews, PLoS ONE and Analytical Chemistry.

In The Last Decade

Errol Robinson

42 papers receiving 2.2k citations

Peers

Errol Robinson
Nikola Tolić United States
Gert B. Eijkel Netherlands
William Chrisler United States
Yu Liang China
Douglas F. Barofsky United States
Subhash Chandra United States
Chad R. Weisbrod United States
R. Pesch Germany
Hoi‐Ying N. Holman United States
Nikola Tolić United States
Errol Robinson
Citations per year, relative to Errol Robinson Errol Robinson (= 1×) peers Nikola Tolić

Countries citing papers authored by Errol Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Errol Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Errol Robinson

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

All Works

20 of 20 papers shown
1.
Hurley, Jennifer, T. M. Finch, Jeremy Zucker, et al.. (2018). Circadian Proteomic Analysis Uncovers Mechanisms of Post-Transcriptional Regulation in Metabolic Pathways. Cell Systems. 7(6). 613–626.e5. 74 indexed citations
2.
Tfaily, Malak, Rosalie Chu, Jason Toyoda, et al.. (2017). Sequential extraction protocol for organic matter from soils and sediments using high resolution mass spectrometry. Analytica Chimica Acta. 972. 54–61. 108 indexed citations
3.
Shen, Yufeng, Nikola Tolić, Paul Piehowski, et al.. (2017). High-resolution ultrahigh-pressure long column reversed-phase liquid chromatography for top-down proteomics. Journal of Chromatography A. 1498. 99–110. 53 indexed citations
5.
Mann, Benjamin F., Hongmei Chen, Elizabeth Herndon, et al.. (2015). Indexing Permafrost Soil Organic Matter Degradation Using High-Resolution Mass Spectrometry. PLoS ONE. 10(6). e0130557–e0130557. 83 indexed citations
6.
Tfaily, Malak, Rosalie Chu, Nikola Tolić, et al.. (2015). Advanced Solvent Based Methods for Molecular Characterization of Soil Organic Matter by High-Resolution Mass Spectrometry. Analytical Chemistry. 87(10). 5206–5215. 151 indexed citations
7.
DeAngelis, Kristen M., Deepak Sharma, Rebecca Varney, et al.. (2013). Evidence supporting dissimilatory and assimilatory lignin degradation in Enterobacter lignolyticus SCF1. Frontiers in Microbiology. 4. 280–280. 107 indexed citations
8.
Venceslau, Sofia S., John Cort, Erin Baker, et al.. (2013). Redox states of Desulfovibrio vulgaris DsrC, a key protein in dissimilatory sulfite reduction. Biochemical and Biophysical Research Communications. 441(4). 732–736. 15 indexed citations
9.
D’haeseleer, Patrik, John M. Gladden, Martin Allgaier, et al.. (2013). Proteogenomic Analysis of a Thermophilic Bacterial Consortium Adapted to Deconstruct Switchgrass. PLoS ONE. 8(7). e68465–e68465. 58 indexed citations
10.
Angel, Thomas E., Uma K. Aryal, Shawna Hengel, et al.. (2012). Mass spectrometry-based proteomics: existing capabilities and future directions. Chemical Society Reviews. 41(10). 3912–3912. 304 indexed citations
11.
Robinson, Errol, et al.. (2012). FRET Imaging of Diatoms Expressing a Biosilica-Localized Ribose Sensor. PLoS ONE. 7(3). e33771–e33771. 25 indexed citations
12.
Tian, Zhixin, Nikola Tolić, Rui Zhao, et al.. (2012). Enhanced top-down characterization of histone post-translational modifications. Genome biology. 13(10). R86–R86. 111 indexed citations
13.
Kim, Jong‐Seo, Thomas Fillmore, Tao Liu, et al.. (2011). 18O-Labeled Proteome Reference as Global Internal Standards for Targeted Quantification by Selected Reaction Monitoring-Mass Spectrometry. Molecular & Cellular Proteomics. 10(12). M110.007302–M110.007302. 16 indexed citations
14.
Hossain, Mahmud, David T. Kaleta, Errol Robinson, et al.. (2010). Enhanced Sensitivity for Selected Reaction Monitoring Mass Spectrometry-based Targeted Proteomics Using a Dual Stage Electrodynamic Ion Funnel Interface. Molecular & Cellular Proteomics. 10(2). S1–S9. 44 indexed citations
15.
Tian, Zhixin, Rui Zhao, Nikola Tolić, et al.. (2010). Two‐dimensional liquid chromatography system for online top‐down mass spectrometry. PROTEOMICS. 10(20). 3610–3620. 41 indexed citations
16.
López‐Ferrer, Daniel, Konstantinos Pétritis, Errol Robinson, et al.. (2010). Pressurized Pepsin Digestion in Proteomics. Molecular & Cellular Proteomics. 10(2). S1–S11. 43 indexed citations
17.
Lourette, Natacha, Heather S. Smallwood, Si Wu, et al.. (2010). A top-down LC-FTICR MS-based strategy for characterizing oxidized calmodulin in activated macrophages. Journal of the American Society for Mass Spectrometry. 21(6). 930–939. 17 indexed citations
18.
Wu, Si, Nikola Tolić, Zhixin Tian, Errol Robinson, & Ljiljana Paša‐Tolić. (2010). An Integrated Top-Down and Bottom-Up Strategy for Characterization of Protein Isoforms and Modifications. Methods in molecular biology. 694. 291–304. 9 indexed citations
19.
Tolmachev, Aleksey V., Errol Robinson, Si Wu, Ljiljana Paša‐Tolić, & Richard Smith. (2008). FT-ICR MS optimization for the analysis of intact proteins. International Journal of Mass Spectrometry. 287(1-3). 32–38. 42 indexed citations
20.
Robinson, Errol, et al.. (2006). Peak deconvolution in high-field asymmetric waveform ion mobility spectrometry (FAIMS) to characterize macromolecular conformations. International Journal of Mass Spectrometry. 259(1-3). 87–95. 29 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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