Stephen Bocckino
- Molecular Biology top 5%
- Physiology top 5%
- Cell Biology top 5%
- Surgery top 10%
- Biochemistry top 2%
- Co-authors
- John H. ExtonP F BlackmoreP B WilsonJ H ExtonChristopher J. LynchMargaret A. BrostromCharles O. BrostromR Charest
- Topics
- Pancreatic function and diabetes (9 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Lipid metabolism and biosynthesis (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAnalytical Biochemistry
- Partner nations
- United StatesSwitzerland
In The Last Decade
Stephen Bocckino
27 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.4k
- Physiology 413
- Cell Biology 320
- Surgery 281
- Biochemistry 239
Countries citing papers authored by Stephen Bocckino
This map shows the geographic impact of Stephen Bocckino'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 Stephen Bocckino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Bocckino more than expected).
Fields of papers citing papers by Stephen Bocckino
This network shows the impact of papers produced by Stephen Bocckino. 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 Stephen Bocckino. The network helps show where Stephen Bocckino may publish in the future.
Co-authorship network of co-authors of Stephen Bocckino
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Bocckino. A scholar is included among the top collaborators of Stephen Bocckino 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 Stephen Bocckino. Stephen Bocckino 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 | 51 | |
| 3 | 70 | |
| 4 | 80 | |
| 5 | 29 | |
| 6 | 22 | |
| 7 | 38 | |
| 8 | 31 | |
| 9 | 136 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 63 | |
| 14 | 7 | |
| 15 | 117 | |
| 16 | Agonist induced formation of myoinositol 1,4,5-P/sub 3/, myoinositol 1,3,4-P/sub 3/ and myoinositol-P/sub 4/ in rat liver parenchymal cells | 1 |
| 17 | 40 | |
| 18 | 39 | |
| 19 | 253 | |
| 20 | 86 |
About Stephen Bocckino
Stephen Bocckino is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Biochemistry (239 citations), Molecular Biology (1.4k citations) and Cell Biology (320 citations). Stephen Bocckino has collaborated with scholars based in United States and Switzerland. Frequent co-authors include John H. Exton, P F Blackmore, P B Wilson, J H Exton, Christopher J. Lynch, Margaret A. Brostrom, Charles O. Brostrom, R Charest, Guy Augert and Brian J. Day. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.
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.