Geoffrey S. Baird

10.1k citations
85 papers · 7.4k indexed · 6 hit papers · h-index 30

Geoffrey S. Baird

83 papers receiving 7.2k citations

Hit Papers

DJ-1 and α-synuclein in human cerebrospinal fluid a...496199920262008201750010001.5k

Peers

Geoffrey S. Baird
Comparison fields: 5 of 161
  • Biophysics 2.1k
  • Structural Biology 102
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 4.5k
  • Cell Biology 898
Replace Jin Zhang with:
Jin Zhang United States
Brian Herman United States
Kees Jalink Netherlands
Carsten Schultz Germany
Hiromi Imamura Japan
Takeaki Ozawa Japan
Guy Perkins United States
Markus Paulmichl Austria
Samie R. Jaffrey United States
Benjamin S. Glick United States
Geoffrey S. Baird relative to Jin Zhang United States Jin Zhang's profile →
Citations per field
00.5×1.5×
Jin Zhang · 1×
Citations per year

Countries citing papers authored by Geoffrey S. Baird

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Geoffrey S. Baird, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geoffrey S. Baird Line = papers co-authored together Geoffrey S. Baird links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20247
3 202322
4 20234
5 202210
6 202116
7 20202
8 20193
9 201823
10 20186
11 20171
12 201425
13 201120
14 2011147
15 201141
16 201112
17 200842
18
A monomeric red fluorescent proteinbreakdown →
20021960
19 200217
20 199370

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), Advanced Fluorescence Microscopy Techniques (7 papers), Molecular Biology Techniques and Applications (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Opioid Use Disorder Treatment (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Advanced Proteomics Techniques and Applications (5 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.

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