Nina Vahl
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Jens Otto Lunde JørgensenJens Sandahl ChristiansenClaus HagenHans ØrskovSanne FiskerJ. S. ChristiansenAnders JuulTorben Bæk Hansen
- Topics
- Growth Hormone and Insulin-like Growth Factors (40 papers)Diet and metabolism studies (14 papers)Lipid metabolism and disorders (12 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Bone and Mineral ResearchInternational Journal of Obesity
- Partner nations
- DenmarkUnited StatesAustralia
In The Last Decade
Nina Vahl
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 1.4k
- Physiology 586
- Cardiology and Cardiovascular Medicine 342
- Molecular Biology 315
- Genetics 278
Countries citing papers authored by Nina Vahl
This map shows the geographic impact of Nina Vahl'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 Nina Vahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Vahl more than expected).
Fields of papers citing papers by Nina Vahl
This network shows the impact of papers produced by Nina Vahl. 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 Nina Vahl. The network helps show where Nina Vahl may publish in the future.
Co-authorship network of co-authors of Nina Vahl
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Vahl. A scholar is included among the top collaborators of Nina Vahl 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 Nina Vahl. Nina Vahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | Effects of GH replacement in young patients with childhood onset GH deficiency. | 2 |
| 3 | 40 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 37 | |
| 7 | 43 | |
| 8 | 53 | |
| 9 | 41 | |
| 10 | 43 | |
| 11 | 3 | |
| 12 | 69 | |
| 13 | 18 | |
| 14 | 70 | |
| 15 | 45 | |
| 16 | 6 | |
| 17 | 118 | |
| 18 | 110 | |
| 19 | 40 | |
| 20 | 33 |
About Nina Vahl
Nina Vahl is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (40 papers), Diet and metabolism studies (14 papers) and Lipid metabolism and disorders (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Endocrine and Autonomic Systems (257 citations) and Physiology (586 citations). Nina Vahl has collaborated with scholars based in Denmark, United States and Australia. Frequent co-authors include Jens Otto Lunde Jørgensen, Jens Sandahl Christiansen, Claus Hagen, Hans Ørskov, Sanne Fisker, J. S. Christiansen, Anders Juul, Torben Bæk Hansen, Anne Grethe Jurik and Tony Bill Hansen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Mineral Research and International Journal of Obesity.
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.