Carolina E. Hagberg
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Annelie FalkevallUlf ErikssonAnnika MehlemLars MuhlKirsty L. SpaldingJérémie BoucherErik SaménSharon Stone‐Elander
- Topics
- Adipose Tissue and Metabolism (16 papers)Adipokines, Inflammation, and Metabolic Diseases (11 papers)Cancer, Hypoxia, and Metabolism (5 papers)
- Journals
- NatureNature MedicineSHILAP Revista de lepidopterología
In The Last Decade
Carolina E. Hagberg
26 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 912
- Physiology 749
- Epidemiology 555
- Cardiology and Cardiovascular Medicine 332
- Cancer Research 250
Countries citing papers authored by Carolina E. Hagberg
This map shows the geographic impact of Carolina E. Hagberg'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 Carolina E. Hagberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina E. Hagberg more than expected).
Fields of papers citing papers by Carolina E. Hagberg
This network shows the impact of papers produced by Carolina E. Hagberg. 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 Carolina E. Hagberg. The network helps show where Carolina E. Hagberg may publish in the future.
Co-authorship network of co-authors of Carolina E. Hagberg
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina E. Hagberg. A scholar is included among the top collaborators of Carolina E. Hagberg 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 Carolina E. Hagberg. Carolina E. Hagberg 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 | 4 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | White adipocyte dysfunction and obesity-associated pathologies in humansbreakdown → | 84 |
| 7 | 1 | |
| 8 | 60 | |
| 9 | 9 | |
| 10 | 22 | |
| 11 | 123 | |
| 12 | 9 | |
| 13 | 94 | |
| 14 | 72 | |
| 15 | 34 | |
| 16 | Imaging of neutral lipids by oil red O for analyzing the metabolic status in health and diseasebreakdown → | 668 |
| 17 | 58 | |
| 18 | 223 | |
| 19 | 50 | |
| 20 | 375 |
About Carolina E. Hagberg
Carolina E. Hagberg is a scholar working on Physiology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Physiology (749 citations), Biochemistry (149 citations) and Cancer Research (250 citations). Carolina E. Hagberg has collaborated with scholars based in Sweden, Finland and Germany. Frequent co-authors include Annelie Falkevall, Ulf Eriksson, Annika Mehlem, Lars Muhl, Kirsty L. Spalding, Jérémie Boucher, Erik Samén, Sharon Stone‐Elander, Kristian Pietras and Jenni Huusko. Their work appears in journals such as Nature, Nature Medicine and SHILAP Revista de lepidopterología.
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.