Brian C. Searle

5.0k total citations · 2 hit papers
59 papers, 2.9k citations indexed

About

Brian C. Searle is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Brian C. Searle has authored 59 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 42 papers in Spectroscopy and 7 papers in Biomedical Engineering. Recurrent topics in Brian C. Searle's work include Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (32 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). Brian C. Searle is often cited by papers focused on Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (32 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). Brian C. Searle collaborates with scholars based in United States, United Kingdom and Germany. Brian C. Searle's co-authors include Michael J. MacCoss, Lindsay K. Pino, Brendan MacLean, James G. Bollinger, Brook L. Nunn, Robert Lawrence, Judit Villén, Mark S. Turner, Jarrett D. Egertson and Ying S. Ting and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Gastroenterology.

In The Last Decade

Brian C. Searle

52 papers receiving 2.9k 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.

The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics

2017 480 citations Lindsay K. Pino, Brian C. Searle et al. profile →
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

2018 345 citations Brian C. Searle, Lindsay K. Pino et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian C. Searle United States	20	2.2k	1.7k	147	140	139	59	2.9k
Vadim Demichev Germany	19	2.0k 0.9×	1.1k 0.7×	147 1.0×	137 1.0×	219 1.6×	36	2.8k
Markus Lubeck Germany	12	1.7k 0.8×	1.4k 0.8×	137 0.9×	95 0.7×	110 0.8×	20	2.4k
Lukas Mueller Switzerland	15	2.4k 1.1×	1.8k 1.1×	234 1.6×	127 0.9×	100 0.7×	19	3.1k
Harald Barsnes Norway	26	1.8k 0.8×	1.1k 0.7×	106 0.7×	101 0.7×	103 0.7×	68	2.4k
Gavain M.A. Sweetman United Kingdom	14	2.3k 1.0×	1.6k 1.0×	220 1.5×	103 0.7×	152 1.1×	19	3.0k
Dmitry M. Avtonomov United States	11	1.7k 0.8×	1.2k 0.7×	139 0.9×	76 0.5×	175 1.3×	14	2.3k
Jun X. Yan Australia	19	2.1k 1.0×	1.3k 0.8×	230 1.6×	177 1.3×	116 0.8×	53	3.1k
Subhakar Dey United States	9	2.7k 1.3×	2.1k 1.3×	245 1.7×	137 1.0×	206 1.5×	15	3.8k
Darryl B. Hardie Canada	21	1.5k 0.7×	1.4k 0.8×	74 0.5×	117 0.8×	99 0.7×	34	2.2k
Stephen J. Hattan United States	7	2.6k 1.2×	2.1k 1.3×	240 1.6×	141 1.0×	196 1.4×	9	3.7k

Countries citing papers authored by Brian C. Searle

Since Specialization

Citations

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

Fields of papers citing papers by Brian C. Searle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian C. Searle

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

Chatterjee, Sayantani, Ben C. Collins, Justyna Fert‐Bober, et al.. (2026). Emerging Technologies in Proteomics: Insights from the HUPO ETC Webinar Series. Journal of Proteome Research. 25(1). 1–3.

McIlvin, Matthew R., et al.. (2025). Proteomic profiling of zinc homeostasis mechanisms in Pseudomonas aeruginosa through data-dependent and data-independent acquisition mass spectrometry. Metallomics. 17(8).

Searle, Brian C., et al.. (2025). Selective isotope labeling probes the chemical capacity and reaction mechanism of a heterobimetallic Mn/Fe protein. Journal of Inorganic Biochemistry. 270. 112933–112933.

Heil, Lilian R., et al.. (2025). Rapid assay development for low input targeted proteomics using a versatile linear ion trap. Nature Communications. 16(1). 3794–3794. 2 indexed citations

Searle, Brian C.. (2024). Nanopore Protein Sequencing Achieves Significant New Milestones. Clinical Chemistry. 70(8). 1006–1008. 3 indexed citations

Searle, Brian C.. (2024). Characterizing protein-protein interactions with thermal proteome profiling. Current Opinion in Structural Biology. 89. 102946–102946.

Wang, Yi, Anqi Li, No‐Joon Song, et al.. (2023). CNPY2-orchestrated unfolded protein responses play redundant roles in regulating anti-tumor immunity of CD8+ T cells. The Journal of Immunology. 210(Supplement_1). 86.12–86.12. 1 indexed citations

Kirkpatrick, Joanna, Paul M. Stemmer, Brian C. Searle, et al.. (2023). 2019 Association of Biomolecular Resource FacilitiesMulti-Laboratory Data-Independent Acquisition ProteomicsStudy. Journal of Biomolecular Techniques JBT. 34(2). 3fc1f5fe.9b78d780–3fc1f5fe.9b78d780. 1 indexed citations

Searle, Brian C., et al.. (2023). Computational approaches to identify sites of phosphorylation. PROTEOMICS. 24(8). e2300088–e2300088. 3 indexed citations

10.

Robinson, Aaron, Aleksandra Binek, Vidya Venkatraman, et al.. (2020). Lysine and Arginine Protein Post-translational Modifications by Enhanced DIA Libraries: Quantification in Murine Liver Disease. Journal of Proteome Research. 19(10). 4163–4178. 14 indexed citations

11.

Searle, Brian C., Kristian E. Swearingen, Christopher A. Barnes, et al.. (2020). Generating high quality libraries for DIA MS with empirically corrected peptide predictions. Nature Communications. 11(1). 1548–1548. 166 indexed citations

12.

Federation, Alexander, Vivek Nandakumar, Brian C. Searle, et al.. (2020). Highly Parallel Quantification and Compartment Localization of Transcription Factors and Nuclear Proteins. Cell Reports. 30(8). 2463–2471.e5. 17 indexed citations

13.

Mische, Sheenah M., Nancy C. Fisher, Susan M. Meyn, et al.. (2020). A Review of the Scientific Rigor, Reproducibility, and TransparencyStudies Conducted by the ABRF Research Groups. Journal of Biomolecular Techniques JBT. 31(1). 11–26. 12 indexed citations

14.

Searle, Brian C., Lindsay K. Pino, Jarrett D. Egertson, et al.. (2018). Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry. Nature Communications. 9(1). 5128–5128. 345 indexed citations breakdown →

15.

Searle, Brian C., Jarrett D. Egertson, James G. Bollinger, Andrew B. Stergachis, & Michael J. MacCoss. (2015). Using Data Independent Acquisition (DIA) to Model High-responding Peptides for Targeted Proteomics Experiments. Molecular & Cellular Proteomics. 14(9). 2331–2340. 35 indexed citations

16.

Dufresne, Craig, Alexander R. Ivanov, Antonius Koller, et al.. (2013). ABRF-sPRG 2013 Study: Development and Characterization of a Proteomics Normalization Standard Consisting of 1000 Stable Isotope Labeled Peptides and a Qualitative Stability Study of Peptides from the ABRF-sPRG 2012 Study. Journal of Biomolecular Techniques JBT. 24.

17.

Searle, Brian C., et al.. (2011). Probabilistically Assigning Sites of Protein Modification with Scaffold PTM.. Journal of Biomolecular Techniques JBT. 22. 5 indexed citations

18.

Eng, Jimmy K., Brian C. Searle, Karl R. Clauser, & David L. Tabb. (2011). A Face in the Crowd: Recognizing Peptides Through Database Search. Molecular & Cellular Proteomics. 10(11). R111.009522–R111.009522. 139 indexed citations

19.

Searle, Brian C.. (2010). Scaffold: A bioinformatic tool for validating MS/MS‐based proteomic studies. PROTEOMICS. 10(6). 1265–1269. 441 indexed citations

20.

Searle, Brian C. & Martin Turner. (2007). P17-M Improving Sensitivity by Combining Results from Multiple MS/MS Search Methodologies with the Scaffold Computer Algorithm.. Journal of Biomolecular Techniques JBT. 18(1). 6–7. 4 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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