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
- Photosynthetic Processes and Mechanisms
Papers in
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- Protein Structure and Dynamics 2
- Photosynthetic Processes and Mechanisms 2
- RNA and protein synthesis mechanisms 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)Michael Olivier (2 shared papers)
- Journals
- Analytical Chemistry (3 papers)Scientific Reports (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Molecular & Cellular Proteomics (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Brian Gau
13 papers receiving 836 citations
Peers
Comparison fields: 5 of 76
- Spectroscopy 371
- Molecular Biology 487
- Cell Biology 85
- Endocrinology, Diabetes and Metabolism 77
- Aging 6
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 | 172 | |
| 2 | 2003 | 93 | |
| 3 | 2012 | 90 | |
| 4 | 2014 | 89 | |
| 5 | 2004 | 80 | |
| 6 | 2010 | 77 | |
| 7 | 2010 | 62 | |
| 8 | 2015 | 59 | |
| 9 | 2011 | 59 | |
| 10 | 2013 | 42 | |
| 11 | 2023 | 22 | |
| 12 | 2015 | 5 | |
| 13 | 2025 | 4 |
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 854 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), Algal biology and biofuel production (2 papers), Photoreceptor and optogenetics research (2 papers), Protein Structure and Dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Spectroscopy (371 citations), Molecular Biology (487 citations), Cell Biology (85 citations), Endocrinology, Diabetes and Metabolism (77 citations) and Aging (6 citations). Brian Gau has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Michael L. Gross, Don L. Rempel, Joshua S. Sharp, Jiawei Chen, Yun Zhang, Hao Chen, Edward M. Rubin, Michael Olivier, L Pennacchio and Leslie M. Hicks. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Molecular & Cellular Proteomics and Arteriosclerosis Thrombosis and Vascular Biology.
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.