Brian C. Searle
- Molecular Biology top 5%
- Spectroscopy top 0.5%
- Cell Biology top 10%
- Physiology
- Oncology
- Co-authors
- Michael J. MacCossLindsay K. PinoBrendan MacLeanJames G. BollingerBrook L. NunnRobert LawrenceJudit VillénMark S. Turner
- Topics
- Advanced Proteomics Techniques and Applications (42 papers)Mass Spectrometry Techniques and Applications (32 papers)Metabolomics and Mass Spectrometry Studies (22 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Brian C. Searle
52 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.2k
- Spectroscopy 1.7k
- Cell Biology 147
- Physiology 140
- Oncology 139
Countries citing papers authored by Brian C. Searle
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 166 | |
| 12 | 17 | |
| 13 | 12 | |
| 14 | Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometrybreakdown → | 345 |
| 15 | 35 | |
| 16 | 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 | 0 |
| 17 | Probabilistically Assigning Sites of Protein Modification with Scaffold PTM. | 5 |
| 18 | 139 | |
| 19 | 441 | |
| 20 | P17-M Improving Sensitivity by Combining Results from Multiple MS/MS Search Methodologies with the Scaffold Computer Algorithm. | 4 |
About Brian C. Searle
Brian C. Searle is a scholar working on Spectroscopy, Structural Biology and Molecular Biology, having authored 59 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (32 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). The work is most often cited by research in Spectroscopy (1.7k citations), Molecular Biology (2.2k citations) and Cell Biology (147 citations). Brian C. Searle has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Nature Communications, The Journal of Immunology and Gastroenterology.
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.