Aina S. Lihn
- Epidemiology top 1%
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Bjørn RichelsenSteen B. PedersenJens Meldgaard BruunCamilla VerdichArne AstrupSøren ToubroGengsheng HeSten Lund
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (15 papers)Adipose Tissue and Metabolism (8 papers)Blood properties and coagulation (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research CommunicationsAmerican Journal of Physiology-Endocrinology and Metabolism
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Aina S. Lihn
18 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Epidemiology 1.7k
- Physiology 1.4k
- Cardiology and Cardiovascular Medicine 532
- Molecular Biology 518
- Endocrine and Autonomic Systems 443
Countries citing papers authored by Aina S. Lihn
This map shows the geographic impact of Aina S. Lihn'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 Aina S. Lihn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aina S. Lihn more than expected).
Fields of papers citing papers by Aina S. Lihn
This network shows the impact of papers produced by Aina S. Lihn. 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 Aina S. Lihn. The network helps show where Aina S. Lihn may publish in the future.
Co-authorship network of co-authors of Aina S. Lihn
This figure shows the co-authorship network connecting the top 25 collaborators of Aina S. Lihn. A scholar is included among the top collaborators of Aina S. Lihn 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 Aina S. Lihn. Aina S. Lihn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 54 | |
| 3 | 56 | |
| 4 | 127 | |
| 5 | Adiponectin: action, regulation and association to insulin sensitivitybreakdown → | 539 |
| 6 | 29 | |
| 7 | 442 | |
| 8 | 97 | |
| 9 | 11 | |
| 10 | 169 | |
| 11 | 258 | |
| 12 | 9 | |
| 13 | 142 | |
| 14 | 23 | |
| 15 | 42 | |
| 16 | 35 | |
| 17 | Regulation of adiponectin by adipose tissue-derived cytokines: in vivo and in vitro investigations in humansbreakdown → | 616 |
| 18 | 69 |
About Aina S. Lihn
Aina S. Lihn is a scholar working on Epidemiology, Physiology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Adipose Tissue and Metabolism (8 papers) and Blood properties and coagulation (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (443 citations), Physiology (1.4k citations) and Epidemiology (1.7k citations). Aina S. Lihn has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Bjørn Richelsen, Steen B. Pedersen, Jens Meldgaard Bruun, Camilla Verdich, Arne Astrup, Søren Toubro, Gengsheng He, Sten Lund, Niels Jessen and Steen B. Haugaard. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and American Journal of Physiology-Endocrinology and Metabolism.
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.