Jennifer L. Estall
- Physiology top 0.5%
- Molecular Biology top 2%
- Epidemiology top 1%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Bruce M. SpiegelmanDaniel J. DruckerShingo KajimuraJorge L. RuasDina LaznikBernardo YustaPaul CohenJeff Ishibashi
- Topics
- Adipose Tissue and Metabolism (18 papers)Pancreatic function and diabetes (14 papers)Liver Disease Diagnosis and Treatment (10 papers)
- Cited by
- PhysiologyRehabilitationBiochemistry
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Jennifer L. Estall
51 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Physiology 2.9k
- Molecular Biology 2.8k
- Epidemiology 1.8k
- Surgery 978
- Endocrinology, Diabetes and Metabolism 904
Countries citing papers authored by Jennifer L. Estall
This map shows the geographic impact of Jennifer L. Estall'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 Jennifer L. Estall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Estall more than expected).
Fields of papers citing papers by Jennifer L. Estall
This network shows the impact of papers produced by Jennifer L. Estall. 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 Jennifer L. Estall. The network helps show where Jennifer L. Estall may publish in the future.
Co-authorship network of co-authors of Jennifer L. Estall
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Estall. A scholar is included among the top collaborators of Jennifer L. Estall 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 Jennifer L. Estall. Jennifer L. Estall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 16 | |
| 5 | 21 | |
| 6 | 31 | |
| 7 | 22 | |
| 8 | 27 | |
| 9 | 149 | |
| 10 | 48 | |
| 11 | 90 | |
| 12 | A PGC-1α Isoform Induced by Resistance Training Regulates Skeletal Muscle Hypertrophybreakdown → | 531 |
| 13 | 87 | |
| 14 | Prdm16 determines the thermogenic program of subcutaneous white adipose tissue in micebreakdown → | 1018 |
| 15 | 89 | |
| 16 | 72 | |
| 17 | 34 | |
| 18 | 38 | |
| 19 | 77 | |
| 20 | 97 |
About Jennifer L. Estall
Jennifer L. Estall is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cell Biology, having authored 51 papers that have together received 5.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Pancreatic function and diabetes (14 papers) and Liver Disease Diagnosis and Treatment (10 papers). The work is most often cited by research in Physiology (2.9k citations), Rehabilitation (418 citations) and Biochemistry (399 citations). Jennifer L. Estall has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Bruce M. Spiegelman, Daniel J. Drucker, Shingo Kajimura, Jorge L. Ruas, Dina Laznik, Bernardo Yusta, Paul Cohen, Jeff Ishibashi, Saverio Cinti and Andrea Frontini. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.