Laurie L. Baggio
- Endocrinology, Diabetes and Metabolism top 0.05%
- Surgery top 0.5%
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 1%
- Co-authors
- Daniel J. DruckerQingling HuangTheodore J. BrownXiemin CaoBernardo YustaErin E. MulvihillJacqueline A. KoehlerChristine Longuet
- Topics
- Diabetes Treatment and Management (49 papers)Pancreatic function and diabetes (37 papers)Neuropeptides and Animal Physiology (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Laurie L. Baggio
69 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 7.2k
- Surgery 4.4k
- Molecular Biology 3.5k
- Cellular and Molecular Neuroscience 1.6k
- Physiology 1.6k
Countries citing papers authored by Laurie L. Baggio
This map shows the geographic impact of Laurie L. Baggio'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 Laurie L. Baggio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurie L. Baggio more than expected).
Fields of papers citing papers by Laurie L. Baggio
This network shows the impact of papers produced by Laurie L. Baggio. 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 Laurie L. Baggio. The network helps show where Laurie L. Baggio may publish in the future.
Co-authorship network of co-authors of Laurie L. Baggio
This figure shows the co-authorship network connecting the top 25 collaborators of Laurie L. Baggio. A scholar is included among the top collaborators of Laurie L. Baggio 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 Laurie L. Baggio. Laurie L. Baggio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 10 | |
| 4 | 80 | |
| 5 | 16 | |
| 6 | 51 | |
| 7 | 25 | |
| 8 | 207 | |
| 9 | 83 | |
| 10 | 32 | |
| 11 | 106 | |
| 12 | 58 | |
| 13 | 41 | |
| 14 | Biology of Incretins: GLP-1 and GIPbreakdown → | 2856 |
| 15 | 56 | |
| 16 | 294 | |
| 17 | 388 | |
| 18 | 26 | |
| 19 | 34 | |
| 20 | 11 |
About Laurie L. Baggio
Laurie L. Baggio is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Surgery, having authored 70 papers that have together received 10.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (49 papers), Pancreatic function and diabetes (37 papers) and Neuropeptides and Animal Physiology (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.2k citations), Endocrine and Autonomic Systems (1.3k citations) and Surgery (4.4k citations). Laurie L. Baggio has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Daniel J. Drucker, Qingling Huang, Theodore J. Brown, Xiemin Cao, Bernardo Yusta, Erin E. Mulvihill, Jacqueline A. Koehler, Christine Longuet, Dianne Holland and Jonathan E. Campbell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.