Jennifer H. Stern
- Physiology top 5%
- Epidemiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Philipp E. SchererJoseph M. RutkowskiJacqueline L. BeaudryGordon I. SmithSamuel KleinRoger H. UngerLesley F. TinkerCynthia A. Thomson
- Topics
- Adipose Tissue and Metabolism (10 papers)Genetics, Aging, and Longevity in Model Organisms (5 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Jennifer H. Stern
20 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Physiology 758
- Epidemiology 598
- Molecular Biology 422
- Endocrinology, Diabetes and Metabolism 222
- Cardiology and Cardiovascular Medicine 197
Countries citing papers authored by Jennifer H. Stern
This map shows the geographic impact of Jennifer H. Stern'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 H. Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer H. Stern more than expected).
Fields of papers citing papers by Jennifer H. Stern
This network shows the impact of papers produced by Jennifer H. Stern. 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 H. Stern. The network helps show where Jennifer H. Stern may publish in the future.
Co-authorship network of co-authors of Jennifer H. Stern
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer H. Stern. A scholar is included among the top collaborators of Jennifer H. Stern 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 H. Stern. Jennifer H. Stern 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 | Cardiometabolic characteristics of people with metabolically healthy and unhealthy obesitybreakdown → | 50 |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 68 | |
| 8 | 55 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | Adiponectin, Leptin, and Fatty Acids in the Maintenance of Metabolic Homeostasis through Adipose Tissue Crosstalkbreakdown → | 774 |
| 13 | 16 | |
| 14 | The cell biology of fat expansionbreakdown → | 396 |
| 15 | 18 | |
| 16 | 60 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 32 |
About Jennifer H. Stern
Jennifer H. Stern is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Physiology (758 citations), Endocrine and Autonomic Systems (184 citations) and Epidemiology (598 citations). Jennifer H. Stern has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Philipp E. Scherer, Joseph M. Rutkowski, Jacqueline L. Beaudry, Gordon I. Smith, Samuel Klein, Roger H. Unger, Lesley F. Tinker, Cynthia A. Thomson, Nancy Fúgate Woods and Kathleen Brennan. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Cell Biology and PLoS ONE.
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.