Mathilde Svendstrup

16 papers receiving 199 citations

Peers

Mathilde Svendstrup
Comparison fields: 5 of 41
  • Endocrinology, Diabetes and Metabolism 71
  • Endocrine and Autonomic Systems 21
  • Pharmacy 15
  • Physiology 58
  • Genetics 42
Replace Miriam Promintzer‐Schifferl with:
Miriam Promintzer‐Schifferl Austria
Johanna Kuusisto Finland
Tomáš Neškudla Czechia
Michel Letiexhe Belgium
Pedro Pujante Spain
Stefan Gaget France
Annamaria Ciccarone Italy
Bruce H. Francis United States
Christine Cavalcanti-Proença France
Ewa Otto-Buczkowska Poland
Mathilde Svendstrup relative to Miriam Promintzer‐Schifferl Austria Miriam Promintzer‐Schifferl's profile →
Citations per field
00.5×1.5×1.9×
Miriam Promintzer‐Schifferl · 1×
Citations per year

Countries citing papers authored by Mathilde Svendstrup

Since Specialization
Citations

This map shows the geographic impact of Mathilde Svendstrup'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 Mathilde Svendstrup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Svendstrup more than expected).

Fields of papers citing papers by Mathilde Svendstrup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathilde Svendstrup. 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 Mathilde Svendstrup. The network helps show where Mathilde Svendstrup may publish in the future.

Co-authors

The 25 scholars most cited alongside Mathilde Svendstrup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathilde Svendstrup Line = papers co-authored together Mathilde Svendstrup links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201736
2 201727
3 202025
4 201922
5 202119
6 201714
7 201311
8 201711
9 202410
10
Stagnation in body mass index in Denmark from 1997/1998 to 2004/2005, but with geographical diversity.
20118
11 20217
12 20145
13 20183
14 20162
15 20181
16 20211

About Mathilde Svendstrup

Mathilde Svendstrup is a scholar working on Physiology, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 202 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Genetic Associations and Epidemiology (3 papers), Diet and metabolism studies (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Management and Research (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (71 citations), Endocrine and Autonomic Systems (21 citations), Pharmacy (15 citations), Physiology (58 citations) and Genetics (42 citations). Mathilde Svendstrup has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Henrik Vestergaard, Torben Hansen, Oluf Pedersen, Thorkild I. A. Sørensen, Niels Grarup, Mette Hollensted, Allan Linneberg, Katrine Bagge Hansen, Theresia M. Schnurr and Asger Lund. Their work appears in journals such as American Journal of Clinical Nutrition, International Journal of Obesity, Obesity, PLoS ONE and Molecular Genetics 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.

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