Eva B. Nygaard

1.4k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Eva B. Nygaard is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Eva B. Nygaard has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Eva B. Nygaard's work include Fibroblast Growth Factor Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Kruppel-like factors research (2 papers). Eva B. Nygaard is often cited by papers focused on Fibroblast Growth Factor Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Kruppel-like factors research (2 papers). Eva B. Nygaard collaborates with scholars based in Denmark, United States and Sweden. Eva B. Nygaard's co-authors include Kathleen R. Markan, Kristin I. Stanford, Roeland J.W. Middelbeek, Michael F. Hirshman, Yu‐Hua Tseng, An Ding, Laurie J. Goodyear, Kristy L. Townsend, Birgitte Andersen and Cathrine Ørskov and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Endocrinology.

In The Last Decade

Eva B. Nygaard

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Brown adipose tissue regulates glucose homeostasis and insulin sensitivity

2012 918 citations Kristin I. Stanford, Roeland J.W. Middelbeek et al. Journal of Clinical Investigation profile →

Peers

Eva B. Nygaard

PHYSI

EPIDE

MB

CCM

REHAB

Pema Maretich United States

Wenshan Wang United States

Leon G. Straub United States

Vivian Peirce United Kingdom

Mueez U-Din Finland

Christine Y. Christ-Roberts United States

Hyejeong Choi South Korea

David J. Pedersen Australia

Olof Dallner United States

Ruping Pan China

Pema Maretich United States

Eva B. Nygaard

974 ×1.1

PHYSI

548 ×1.2

EPIDE

340 ×1.0

MB

205 ×0.9

CCM

213 ×1.2

REHAB

Citations per year, relative to Eva B. Nygaard Eva B. Nygaard (= 1×) peers Pema Maretich

Countries citing papers authored by Eva B. Nygaard

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eva B. Nygaard

This figure shows the co-authorship network connecting the top 25 collaborators of Eva B. Nygaard. A scholar is included among the top collaborators of Eva B. Nygaard 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 Eva B. Nygaard. Eva B. Nygaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Nygaard, Eva B., et al.. (2022). Trends in the prevalence of breastfeeding up to 6 months of age using structured data from routine child healthcare visits. Acta Paediatrica. 112(1). 100–105. 4 indexed citations

2.

Nygaard, Eva B., Cathrine Ørskov, Thomas Almdal, Henrik Vestergaard, & Birgitte Andersen. (2018). Fasting decreases plasma FGF21 in obese subjects and the expression of FGF21 receptors in adipose tissue in both lean and obese subjects. Journal of Endocrinology. 239(1). 73–80. 19 indexed citations

3.

Egerod, Kristoffer L., Maja S. Engelstoft, Mari L. Lund, et al.. (2015). Transcriptional and Functional Characterization of the G Protein-Coupled Receptor Repertoire of Gastric Somatostatin Cells. Endocrinology. 156(11). 3909–3923. 52 indexed citations

4.

Stanford, Kristin I., Roeland J.W. Middelbeek, Kristy L. Townsend, et al.. (2012). Brown adipose tissue regulates glucose homeostasis and insulin sensitivity. Journal of Clinical Investigation. 123(1). 215–223. 918 indexed citations breakdown →

5.

Nygaard, Eva B., Sara G. Vienberg, Cathrine Ørskov, Harald S. Hansen, & Birgitte Andersen. (2012). Metformin Stimulates FGF21 Expression in Primary Hepatocytes. Experimental Diabetes Research. 2012. 1–8. 53 indexed citations

6.

Nygaard, Eva B., Jens O. Lagerstedt, Biao Shi, et al.. (2010). Structural Modeling and Electron Paramagnetic Resonance Spectroscopy of the Human Na+/H+ Exchanger Isoform 1, NHE1. Journal of Biological Chemistry. 286(1). 634–648. 42 indexed citations

7.

Pedersen, Stine F., Scott A. King, Eva B. Nygaard, Robert R. Rigor, & Peter M. Cala. (2007). NHE1 Inhibition by Amiloride- and Benzoylguanidine-type Compounds. Journal of Biological Chemistry. 282(27). 19716–19727. 43 indexed citations

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.

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