Trine Porsgaard
Impact in
- Nutrition and Dietetics top 5%
- Fatty Acid Research and Health
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Fatty Acid Research and Health 15
- Biochemical Analysis and Sensing Techniques 3
- Surgery 9
- Pancreatic function and diabetes 7
- Co-authors
- Huiling Mu (10 shared papers)Carl‐Erik Høy (10 shared papers)Jens Lykkesfeldt (6 shared papers)Hanne H. F. Refsgaard (5 shared papers)Niels Rode Kristensen (1 shared paper)Xuebing Xu (4 shared papers)Ellen Marie Straarup (5 shared papers)Henning Hvid (1 shared paper)
In The Last Decade
Trine Porsgaard
33 papers receiving 804 citations
Peers
Comparison fields: 5 of 95
- Nutrition and Dietetics 274
- Biochemistry 98
- Endocrinology, Diabetes and Metabolism 207
- Pharmaceutical Science 43
- Food Science 98
Countries citing papers authored by Trine Porsgaard
This map shows the geographic impact of Trine Porsgaard'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 Trine Porsgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trine Porsgaard more than expected).
Fields of papers citing papers by Trine Porsgaard
This network shows the impact of papers produced by Trine Porsgaard. 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 Trine Porsgaard. The network helps show where Trine Porsgaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Trine Porsgaard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 217 | |
| 2 | 2018 | 144 | |
| 3 | 2021 | 88 | |
| 4 | 2000 | 43 | |
| 5 | 2007 | 43 | |
| 6 | 2002 | 39 | |
| 7 | 2005 | 31 | |
| 8 | Rodent model choice has major impact on variability of standard preclinical readouts associated with diabetes and obesity research. | 2016 | 31 |
| 9 | 1999 | 17 | |
| 10 | 2016 | 17 | |
| 11 | 2003 | 16 | |
| 12 | 2000 | 15 | |
| 13 | 2011 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2006 | 11 | |
| 16 | 2016 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2003 | 9 | |
| 19 | 1999 | 9 | |
| 20 | 2005 | 8 |
About Trine Porsgaard
Trine Porsgaard is a scholar working on Nutrition and Dietetics, Surgery, Endocrinology, Diabetes and Metabolism, Biochemistry and Molecular Biology, having authored 34 papers that have together received 839 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (15 papers), Lipid metabolism and biosynthesis (9 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers), Diet and metabolism studies (4 papers), Diet, Metabolism, and Disease (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Nutrition and Dietetics (274 citations), Biochemistry (98 citations), Endocrinology, Diabetes and Metabolism (207 citations), Pharmaceutical Science (43 citations) and Food Science (98 citations). Trine Porsgaard has collaborated with scholars based in Denmark, Sweden and Australia. Frequent co-authors include Huiling Mu, Carl‐Erik Høy, Jens Lykkesfeldt, Hanne H. F. Refsgaard, Niels Rode Kristensen, Xuebing Xu, Ellen Marie Straarup, Henning Hvid, Nina Skall Nielsen and René Holm. Their work appears in journals such as Journal of Nutrition, Journal of Medicinal Chemistry, European Journal of Lipid Science and Technology, Basic & Clinical Pharmacology & Toxicology and Food Research International.
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.