S C Hubbard
- Molecular Biology top 2%
- Organic Chemistry top 2%
- Immunology top 5%
- Cell Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Raymond J. IvattPhillips W. RobbinsSalvatore J. TurcoDyann F. WirthCarolyn R. BertozziDaulat R.P. TulsianiOscar TousterMichael Boyce
- Topics
- Glycosylation and Glycoproteins Research (14 papers)Carbohydrate Chemistry and Synthesis (7 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesRussia
In The Last Decade
S C Hubbard
23 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 2.5k
- Organic Chemistry 1.1k
- Immunology 529
- Cell Biology 393
- Radiology, Nuclear Medicine and Imaging 391
Countries citing papers authored by S C Hubbard
This map shows the geographic impact of S C Hubbard'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 S C Hubbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S C Hubbard more than expected).
Fields of papers citing papers by S C Hubbard
This network shows the impact of papers produced by S C Hubbard. 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 S C Hubbard. The network helps show where S C Hubbard may publish in the future.
Co-authorship network of co-authors of S C Hubbard
This figure shows the co-authorship network connecting the top 25 collaborators of S C Hubbard. A scholar is included among the top collaborators of S C Hubbard 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 S C Hubbard. S C Hubbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | Metabolic cross-talk allows labeling of O-linked β- N -acetylglucosamine-modified proteins via the N -acetylgalactosamine salvage pathwaybreakdown → | 273 |
| 3 | 34 | |
| 4 | 137 | |
| 5 | 24 | |
| 6 | 10 | |
| 7 | 26 | |
| 8 | 34 | |
| 9 | 60 | |
| 10 | 17 | |
| 11 | 35 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 33 | |
| 15 | 246 | |
| 16 | Processing of cell surface glycoproteins in normal and transformed fibroblasts. | 2 |
| 17 | 118 | |
| 18 | 112 | |
| 19 | 227 | |
| 20 | 75 |
About S C Hubbard
S C Hubbard is a scholar working on Biotechnology, Organic Chemistry and Molecular Biology, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Molecular Biology (2.5k citations) and Biotechnology (315 citations). S C Hubbard has collaborated with scholars based in United States and Russia. Frequent co-authors include Raymond J. Ivatt, Phillips W. Robbins, Salvatore J. Turco, Dyann F. Wirth, Carolyn R. Bertozzi, Daulat R.P. Tulsiani, Oscar Touster, Michael Boyce, Stuart Brody and Seok‐Ho Yu. Their work appears in journals such as Cell, 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.