Geoffrey S. Waldo
- Molecular Biology top 1%
- Genetics top 2%
- Biophysics top 0.2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Materials Chemistry top 10%
- Co-authors
- Thomas C. TerwilligerStéphanie CabantousJ.D. PédelacqTimothy H. TranJoel BerendzenJames E. Penner‐HahnElizabeth C. TheilJ. Michael Moldowan
- Topics
- Monoclonal and Polyclonal Antibodies Research (15 papers)Enzyme Structure and Function (14 papers)Advanced Fluorescence Microscopy Techniques (9 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Geoffrey S. Waldo
67 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 4.3k
- Genetics 884
- Biophysics 736
- Radiology, Nuclear Medicine and Imaging 682
- Materials Chemistry 633
Countries citing papers authored by Geoffrey S. Waldo
This map shows the geographic impact of Geoffrey S. Waldo'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. Waldo 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. Waldo more than expected).
Fields of papers citing papers by Geoffrey S. Waldo
This network shows the impact of papers produced by Geoffrey S. Waldo. 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. Waldo. The network helps show where Geoffrey S. Waldo may publish in the future.
Co-authorship network of co-authors of Geoffrey S. Waldo
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey S. Waldo. A scholar is included among the top collaborators of Geoffrey S. Waldo 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. Waldo. Geoffrey S. Waldo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 11 | |
| 6 | 56 | |
| 7 | 67 | |
| 8 | 10 | |
| 9 | 38 | |
| 10 | 232 | |
| 11 | 81 | |
| 12 | 30 | |
| 13 | Engineering and characterization of a superfolder green fluorescent proteinbreakdown → | 1782 |
| 14 | 66 | |
| 15 | 78 | |
| 16 | 40 | |
| 17 | 40 | |
| 18 | Rapid protein-folding assay using green fluorescent proteinbreakdown → | 727 |
| 19 | 76 | |
| 20 | 36 |
About Geoffrey S. Waldo
Geoffrey S. Waldo is a scholar working on Biophysics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 68 papers that have together received 5.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Enzyme Structure and Function (14 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). The work is most often cited by research in Biophysics (736 citations), Molecular Biology (4.3k citations) and Structural Biology (55 citations). Geoffrey S. Waldo has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Thomas C. Terwilliger, Stéphanie Cabantous, J.D. Pédelacq, Timothy H. Tran, Joel Berendzen, James E. Penner‐Hahn, Elizabeth C. Theil, J. Michael Moldowan, Robert M. K. Carlson and Kenneth E. Peters. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.