Geoffrey S. Baird
- Molecular Biology top 1%
- Biophysics top 0.05%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Physiology top 5%
- Co-authors
- Roger Y. TsienDavid A. ZachariasRobert E. CampbellOded TourPaul SteinbachAmy E. PalmerOliver GriesbeckLarry A. Gross
- Topics
- Clinical Laboratory Practices and Quality Control (14 papers)Meta-analysis and systematic reviews (8 papers)Advanced Fluorescence Microscopy Techniques (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Geoffrey S. Baird
83 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 4.5k
- Biophysics 2.1k
- Cellular and Molecular Neuroscience 1.3k
- Cell Biology 898
- Physiology 665
Countries citing papers authored by Geoffrey S. Baird
This map shows the geographic impact of Geoffrey S. Baird'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 Geoffrey S. Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey S. Baird more than expected).
Fields of papers citing papers by Geoffrey S. Baird
This network shows the impact of papers produced by Geoffrey S. Baird. 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 Geoffrey S. Baird. The network helps show where Geoffrey S. Baird may publish in the future.
Co-authorship network of co-authors of Geoffrey S. Baird
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey S. Baird. A scholar is included among the top collaborators of Geoffrey S. Baird 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 Geoffrey S. Baird. Geoffrey S. Baird is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 20 | |
| 14 | 147 | |
| 15 | 41 | |
| 16 | 12 | |
| 17 | 42 | |
| 18 | A monomeric red fluorescent proteinbreakdown → | 1960 |
| 19 | 17 | |
| 20 | 70 |
About Geoffrey S. Baird
Geoffrey S. Baird is a scholar working on Toxicology, Biophysics and Statistics, Probability and Uncertainty, having authored 85 papers that have together received 7.4k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (14 papers), Meta-analysis and systematic reviews (8 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). The work is most often cited by research in Biophysics (2.1k citations), Structural Biology (102 citations) and Cellular and Molecular Neuroscience (1.3k citations). Geoffrey S. Baird has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Roger Y. Tsien, David A. Zacharias, Robert E. Campbell, Oded Tour, Paul Steinbach, Amy E. Palmer, Oliver Griesbeck, Larry A. Gross, Ross C. Hoffman and Kim K. Baldridge. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.