Brian Gau
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
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- Protein Structure and Dynamics
- Metabolomics and Mass Spectrometry Studies
Papers in
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- RNA and protein synthesis mechanisms 2
- Photosynthetic Processes and Mechanisms 2
- Protein Structure and Dynamics 2
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- Mass Spectrometry Techniques and Applications 5
- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Michael L. Gross (6 shared papers)Don L. Rempel (2 shared papers)Joshua S. Sharp (1 shared paper)Jiawei Chen (2 shared papers)Yun Zhang (1 shared paper)Hao Chen (1 shared paper)Edward M. Rubin (2 shared papers)L Pennacchio (2 shared papers)
- Journals
- Analytical Chemistry (3 papers)Scientific Reports (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of the American Chemical Society (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Brian Gau
13 papers receiving 803 citations
Peers
Comparison fields: 5 of 76
- Spectroscopy 369
- Molecular Biology 489
- Endocrinology, Diabetes and Metabolism 108
- Cell Biology 85
- Cardiology and Cardiovascular Medicine 81
Countries citing papers authored by Brian Gau
This map shows the geographic impact of Brian Gau'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 Gau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Gau more than expected).
Fields of papers citing papers by Brian Gau
This network shows the impact of papers produced by Brian Gau. 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 Gau. The network helps show where Brian Gau may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Gau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 167 | |
| 2 | 2003 | 91 | |
| 3 | 2012 | 89 | |
| 4 | 2014 | 81 | |
| 5 | 2004 | 79 | |
| 6 | 2010 | 74 | |
| 7 | 2010 | 62 | |
| 8 | 2011 | 56 | |
| 9 | 2015 | 53 | |
| 10 | 2013 | 42 | |
| 11 | 2023 | 19 | |
| 12 | 2015 | 5 | |
| 13 | 2025 | 1 |
About Brian Gau
Brian Gau is a scholar working on Molecular Biology, Spectroscopy, Cell Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 819 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Biotin and Related Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Algal biology and biofuel production (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Spectroscopy (369 citations), Molecular Biology (489 citations), Endocrinology, Diabetes and Metabolism (108 citations), Cell Biology (85 citations) and Cardiology and Cardiovascular Medicine (81 citations). Brian Gau has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Michael L. Gross, Don L. Rempel, Joshua S. Sharp, Jiawei Chen, Yun Zhang, Hao Chen, Edward M. Rubin, L Pennacchio, Michael Olivier and Ping Li. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of the American Chemical Society and Molecular & Cellular Proteomics.
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.