Eva B. Nygaard
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Rehabilitation top 2%
- Exercise and Physiological Responses
Papers in
-
- Kruppel-like factors research 2
- Fibroblast Growth Factor Research 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Kristin I. Stanford (1 shared paper)Yu‐Hua Tseng (1 shared paper)Roeland J.W. Middelbeek (1 shared paper)Kathleen R. Markan (1 shared paper)Kristy L. Townsend (1 shared paper)Laurie J. Goodyear (1 shared paper)An Ding (1 shared paper)Michael F. Hirshman (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)Endocrinology (1 paper)Acta Paediatrica (1 paper)Journal of Endocrinology (1 paper)
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Eva B. Nygaard
7 papers receiving 1.1k citations
Eva B. Nygaard's Hit Papers
Peers
Comparison fields: 5 of 86
- Physiology 874
- Rehabilitation 184
- Epidemiology 448
- Endocrine and Autonomic Systems 70
- Cardiology and Cardiovascular Medicine 229
Countries citing papers authored by Eva B. Nygaard
This map shows the geographic impact of Eva B. Nygaard'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 Eva B. Nygaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva B. Nygaard more than expected).
Fields of papers citing papers by Eva B. Nygaard
This network shows the impact of papers produced by Eva B. Nygaard. 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 Eva B. Nygaard. The network helps show where Eva B. Nygaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva B. Nygaard, 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 | Brown adipose tissue regulates glucose homeostasis and insulin sensitivity Hit paper breakdown → | 2012 | 918 |
| 2 | 2012 | 53 | |
| 3 | 2015 | 52 | |
| 4 | 2007 | 43 | |
| 5 | 2010 | 42 | |
| 6 | 2018 | 19 | |
| 7 | 2022 | 4 |
About Eva B. Nygaard
Eva B. Nygaard is a scholar working on Molecular Biology, Epidemiology, Physiology, Cellular and Molecular Neuroscience and Rehabilitation, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Kruppel-like factors research (2 papers), Fibroblast Growth Factor Research (2 papers), Epigenetics and DNA Methylation (2 papers), Child Nutrition and Feeding Issues (1 paper), Advanced NMR Techniques and Applications (1 paper), Electron Spin Resonance Studies (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Physiology (874 citations), Rehabilitation (184 citations), Epidemiology (448 citations), Endocrine and Autonomic Systems (70 citations) and Cardiology and Cardiovascular Medicine (229 citations). Eva B. Nygaard has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Kristin I. Stanford, Yu‐Hua Tseng, Roeland J.W. Middelbeek, Kathleen R. Markan, Kristy L. Townsend, Laurie J. Goodyear, An Ding, Michael F. Hirshman, Birgitte Andersen and Cathrine Ørskov. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Endocrinology, Acta Paediatrica and Journal of Endocrinology.
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.