Jacqueline L. Beaudry
- Molecular Biology top 10%
- Physiology top 5%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Co-authors
- Daniel J. DruckerMichael C. RiddellIsabel SousaJannel LiuMelina ClaussnitzerVijitha PuviindranWouter MeulemanHans Hauner
- Topics
- Adipose Tissue and Metabolism (19 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)Pancreatic function and diabetes (7 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jacqueline L. Beaudry
33 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 726
- Physiology 537
- Genetics 483
- Endocrinology, Diabetes and Metabolism 398
- Epidemiology 268
Countries citing papers authored by Jacqueline L. Beaudry
This map shows the geographic impact of Jacqueline L. Beaudry'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 Jacqueline L. Beaudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline L. Beaudry more than expected).
Fields of papers citing papers by Jacqueline L. Beaudry
This network shows the impact of papers produced by Jacqueline L. Beaudry. 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 Jacqueline L. Beaudry. The network helps show where Jacqueline L. Beaudry may publish in the future.
Co-authorship network of co-authors of Jacqueline L. Beaudry
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline L. Beaudry. A scholar is included among the top collaborators of Jacqueline L. Beaudry 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 Jacqueline L. Beaudry. Jacqueline L. Beaudry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 68 | |
| 10 | 50 | |
| 11 | 105 | |
| 12 | 9 | |
| 13 | FTO Obesity Variant Circuitry and Adipocyte Browning in Humansbreakdown → | 878 |
| 14 | 29 | |
| 15 | 11 | |
| 16 | 43 | |
| 17 | 67 | |
| 18 | 13 | |
| 19 | 39 | |
| 20 | Plasma kinetics of oral retinol in cancer patients. | 10 |
About Jacqueline L. Beaudry
Jacqueline L. Beaudry is a scholar working on Physiology, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (19 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (398 citations), Physiology (537 citations) and Endocrine and Autonomic Systems (118 citations). Jacqueline L. Beaudry has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Daniel J. Drucker, Michael C. Riddell, Isabel Sousa, Jannel Liu, Melina Claussnitzer, Vijitha Puviindran, Wouter Meuleman, Hans Hauner, Christine E. Haugen and Yi-Hsiang Hsu. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Cell Metabolism.
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.