Stephanie Pack
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Receptor Mechanisms and Signaling 2
- Peroxisome Proliferator-Activated Receptors 1
- Epigenetics and DNA Methylation 1
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- Adipose Tissue and Metabolism 6
- Co-authors
- Oksana Gavrilova (10 shared papers)William Jou (9 shared papers)Anne E. Sumner (1 shared paper)Junghyo Jo (1 shared paper)Vipul Periwal (1 shared paper)Samuel W. Cushman (1 shared paper)Lee S. Weinstein (2 shared papers)Derek LeRoith (2 shared papers)
- Journals
- Endocrinology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Circulation (1 paper)Journal of Biological Chemistry (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Stephanie Pack
12 papers receiving 1.3k citations
Stephanie Pack's Hit Papers
Peers
Comparison fields: 5 of 99
- Endocrine and Autonomic Systems 134
- Physiology 468
- Epidemiology 353
- Endocrinology, Diabetes and Metabolism 132
- Internal Medicine 23
Countries citing papers authored by Stephanie Pack
This map shows the geographic impact of Stephanie Pack'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 Stephanie Pack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Pack more than expected).
Fields of papers citing papers by Stephanie Pack
This network shows the impact of papers produced by Stephanie Pack. 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 Stephanie Pack. The network helps show where Stephanie Pack may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephanie Pack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Hypertrophy and/or Hyperplasia: Dynamics of Adipose Tissue Growth Hit paper breakdown → | 2009 | 622 |
| 2 | 2005 | 121 | |
| 3 | 2003 | 92 | |
| 4 | 2005 | 80 | |
| 5 | 2006 | 78 | |
| 6 | 2006 | 77 | |
| 7 | 2003 | 77 | |
| 8 | 2004 | 56 | |
| 9 | 2006 | 48 | |
| 10 | 2011 | 40 | |
| 11 | 2011 | 20 | |
| 12 | 2009 | 10 |
About Stephanie Pack
Stephanie Pack is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Epidemiology and Surgery, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Regulation of Appetite and Obesity (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (134 citations), Physiology (468 citations), Epidemiology (353 citations), Endocrinology, Diabetes and Metabolism (132 citations) and Internal Medicine (23 citations). Stephanie Pack has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Oksana Gavrilova, William Jou, Anne E. Sumner, Junghyo Jo, Vipul Periwal, Samuel W. Cushman, Lee S. Weinstein, Derek LeRoith, Michael B. Wheeler and Shoshana Yakar. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, Circulation, Journal of Biological Chemistry and PLoS Computational Biology.
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.