Brian K. Erickson

8.4k total citations · 4 hit papers
24 papers, 3.7k citations indexed

About

Brian K. Erickson is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Brian K. Erickson has authored 24 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Spectroscopy and 4 papers in Physiology. Recurrent topics in Brian K. Erickson's work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Brian K. Erickson is often cited by papers focused on Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Brian K. Erickson collaborates with scholars based in United States, United Kingdom and France. Brian K. Erickson's co-authors include Mark P. Jedrychowski, Steven P. Gygi, David P. Nusinow, Graeme C. McAlister, Martin Wühr, Ramin Rad, Edward L. Huttlin, Wilhelm Haas, Gina Z. Lu and Lawrence Kazak and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian K. Erickson

24 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes

2014 896 citations Graeme C. McAlister, David P. Nusinow et al. Analytical Chemistry profile →
Quantitative Proteomics of the Cancer Cell Line Encyclopedia

2020 574 citations David P. Nusinow, John Szpyt et al. Cell profile →
A Creatine-Driven Substrate Cycle Enhances Energy Expenditure and Thermogenesis in Beige Fat

2015 571 citations Lawrence Kazak, Edward T. Chouchani et al. Cell profile →
Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1

2016 364 citations Edward T. Chouchani, Lawrence Kazak et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian K. Erickson United States	19	2.3k	1.0k	830	496	460	24	3.7k
David J. Pagliarini United States	38	5.1k 2.2×	887 0.9×	601 0.7×	512 1.0×	595 1.3×	72	6.5k
Jakob Bunkenborg Denmark	32	4.5k 1.9×	1.2k 1.2×	1.2k 1.5×	606 1.2×	1.1k 2.3×	57	6.6k
Hiroki Nakanishi Japan	33	2.5k 1.1×	548 0.5×	486 0.6×	451 0.9×	261 0.6×	95	4.2k
Kathleen A. Harrison United States	29	1.8k 0.8×	465 0.5×	286 0.3×	296 0.6×	285 0.6×	70	3.2k
Rosa Viner United States	30	2.2k 1.0×	251 0.2×	1.4k 1.7×	380 0.8×	185 0.4×	70	3.3k
Richard D. Unwin United Kingdom	34	2.1k 0.9×	640 0.6×	790 1.0×	245 0.5×	183 0.4×	97	3.7k
Todd W. Mitchell Australia	37	3.1k 1.3×	735 0.7×	1.9k 2.3×	230 0.5×	321 0.7×	114	4.8k
Nicholas Shulman United States	14	3.1k 1.3×	363 0.4×	1.5k 1.8×	316 0.6×	452 1.0×	21	4.6k
Matthew J. Rardin United States	17	1.4k 0.6×	711 0.7×	316 0.4×	178 0.4×	514 1.1×	24	2.4k
Alexander S. Hebert United States	35	2.8k 1.2×	426 0.4×	1.8k 2.2×	268 0.5×	271 0.6×	67	4.0k

Countries citing papers authored by Brian K. Erickson

Since Specialization

Citations

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

Fields of papers citing papers by Brian K. Erickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian K. Erickson

This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. Erickson. A scholar is included among the top collaborators of Brian K. Erickson 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 K. Erickson. Brian K. Erickson 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:

20 of 20 papers shown

Schweppe, Devin K., Jimmy K. Eng, Qing Yu, et al.. (2020). Full-Featured, Real-Time Database Searching Platform Enables Fast and Accurate Multiplexed Quantitative Proteomics. Journal of Proteome Research. 19(5). 2026–2034. 177 indexed citations

Nusinow, David P., John Szpyt, Mahmoud Ghandi, et al.. (2020). Quantitative Proteomics of the Cancer Cell Line Encyclopedia. Cell. 180(2). 387–402.e16. 574 indexed citations breakdown →

Erickson, Brian K., Devin K. Schweppe, Qing Yu, et al.. (2020). Parallel Notched Gas-Phase Enrichment for Improved Proteome Identification and Quantification with Fast Spectral Acquisition Rates. Journal of Proteome Research. 19(7). 2750–2757. 2 indexed citations

Erickson, Brian K., Julian Mintseris, Devin K. Schweppe, et al.. (2019). Active Instrument Engagement Combined with a Real-Time Database Search for Improved Performance of Sample Multiplexing Workflows. Journal of Proteome Research. 18(3). 1299–1306. 106 indexed citations

Vildhede, Anna, Chuong Nguyen, Brian K. Erickson, et al.. (2018). Comparison of Proteomic Quantification Approaches for Hepatic Drug Transporters: Multiplexed Global Quantitation Correlates with Targeted Proteomic Quantitation. Drug Metabolism and Disposition. 46(5). 692–696. 26 indexed citations

Chouchani, Edward T., Andrew M. James, Carmen Methner, et al.. (2017). Identification and quantification of protein S-nitrosation by nitrite in the mouse heart during ischemia. Journal of Biological Chemistry. 292(35). 14486–14495. 37 indexed citations

Erickson, Brian K., Christopher M. Rose, Craig R. Braun, et al.. (2017). A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization. Molecular Cell. 65(2). 361–370. 101 indexed citations

Guy, Michelle R., et al.. (2016). Hydra—The National Earthquake Information Center’s 24/7 seismic monitoring, analysis, catalog production, quality analysis, and special studies tool suite. Antarctica A Keystone in a Changing World. 19 indexed citations

Chouchani, Edward T., Lawrence Kazak, Mark P. Jedrychowski, et al.. (2016). Mitochondrial ROS regulate thermogenic energy expenditure and sulfenylation of UCP1. Nature. 532(7597). 112–116. 364 indexed citations breakdown →

10.

Wühr, Martin, Thomas Güttler, Leonid Peshkin, et al.. (2015). The Nuclear Proteome of a Vertebrate. Current Biology. 25(20). 2663–2671. 103 indexed citations

11.

Kazak, Lawrence, Edward T. Chouchani, Mark P. Jedrychowski, et al.. (2015). A Creatine-Driven Substrate Cycle Enhances Energy Expenditure and Thermogenesis in Beige Fat. Cell. 163(3). 643–655. 571 indexed citations breakdown →

12.

Braun, Craig R., Gregory H. Bird, Martin Wühr, et al.. (2015). Generation of Multiple Reporter Ions from a Single Isobaric Reagent Increases Multiplexing Capacity for Quantitative Proteomics. Analytical Chemistry. 87(19). 9855–9863. 39 indexed citations

13.

McAlister, Graeme C., David P. Nusinow, Mark P. Jedrychowski, et al.. (2014). MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes. Analytical Chemistry. 86(14). 7150–7158. 896 indexed citations breakdown →

14.

Erickson, Brian K., Mark P. Jedrychowski, Graeme C. McAlister, et al.. (2014). Evaluating Multiplexed Quantitative Phosphopeptide Analysis on a Hybrid Quadrupole Mass Filter/Linear Ion Trap/Orbitrap Mass Spectrometer. Analytical Chemistry. 87(2). 1241–1249. 117 indexed citations

15.

McNulty, Nathan P., Meng Wu, Alison R. Erickson, et al.. (2013). Effects of Diet on Resource Utilization by a Model Human Gut Microbiota Containing Bacteroides cellulosilyticus WH2, a Symbiont with an Extensive Glycobiome. PLoS Biology. 11(8). e1001637–e1001637. 222 indexed citations

16.

Cantarel, Brandi L., Alison R. Erickson, Nathan C. VerBerkmoes, et al.. (2011). Strategies for Metagenomic-Guided Whole-Community Proteomics of Complex Microbial Environments. PLoS ONE. 6(11). e27173–e27173. 51 indexed citations

17.

Wheeler, Korin E., Brian K. Erickson, Ryan Mueller, et al.. (2011). Metal Affinity Enrichment Increases the Range and Depth of Proteome Identification for Extracellular Microbial Proteins. Journal of Proteome Research. 11(2). 861–870. 1 indexed citations

18.

Erickson, Brian K., Ryan Mueller, Nathan C. VerBerkmoes, et al.. (2010). Computational Prediction and Experimental Validation of Signal Peptide Cleavages in the Extracellular Proteome of a Natural Microbial Community. Journal of Proteome Research. 9(5). 2148–2159. 18 indexed citations

19.

Kertész, Vilmos, Heather Connelly, Brian K. Erickson, & Robert L. Hettich. (2009). PTMSearchPlus: Software Tool for Automated Protein Identification and Post-Translational Modification Characterization by Integrating Accurate Intact Protein Mass and Bottom-Up Mass Spectrometric Data Searches. Analytical Chemistry. 81(20). 8387–8395. 8 indexed citations

20.

Thompson, Melissa, et al.. (2008). Experimental Approach for Deep Proteome Measurements from Small-Scale Microbial Biomass Samples. Analytical Chemistry. 80(24). 9517–9525. 28 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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