M. Toft-Nielsen
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Molecular Biology
- Oncology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Jens J. HolstSten MadsbadMichael A. NauckB. WillmsLone PridalCarolyn F. DeaconMette Brimnes DamholtThomas E. Hughes
- Topics
- Diabetes Treatment and Management (9 papers)Diabetes Management and Research (8 papers)Metabolism, Diabetes, and Cancer (3 papers)
- Partner nations
- DenmarkUnited States
In The Last Decade
M. Toft-Nielsen
10 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 1.8k
- Surgery 1.1k
- Molecular Biology 679
- Oncology 357
- Cellular and Molecular Neuroscience 290
Countries citing papers authored by M. Toft-Nielsen
This map shows the geographic impact of M. Toft-Nielsen'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 M. Toft-Nielsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Toft-Nielsen more than expected).
Fields of papers citing papers by M. Toft-Nielsen
This network shows the impact of papers produced by M. Toft-Nielsen. 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 M. Toft-Nielsen. The network helps show where M. Toft-Nielsen may publish in the future.
Co-authorship network of co-authors of M. Toft-Nielsen
This figure shows the co-authorship network connecting the top 25 collaborators of M. Toft-Nielsen. A scholar is included among the top collaborators of M. Toft-Nielsen 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 M. Toft-Nielsen. M. Toft-Nielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 130 | |
| 3 | Determinants of the Impaired Secretion of Glucagon-Like Peptide-1 in Type 2 Diabetic Patientsbreakdown → | 702 |
| 4 | 147 | |
| 5 | 48 | |
| 6 | 34 | |
| 7 | 289 | |
| 8 | 97 | |
| 9 | 7 | |
| 10 | Both subcutaneously and intravenously administered glucagon-like peptide I are rapidly degraded from the NH2-terminus in type II diabetic patients and in healthy subjectsbreakdown → | 643 |
About M. Toft-Nielsen
M. Toft-Nielsen is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Surgery, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Endocrine and Autonomic Systems (207 citations) and Surgery (1.1k citations). M. Toft-Nielsen has collaborated with scholars based in Denmark and United States. Frequent co-authors include Jens J. Holst, Sten Madsbad, Michael A. Nauck, B. Willms, Lone Pridal, Carolyn F. Deacon, Mette Brimnes Damholt, Thomas E. Hughes, Linda Hilsted and B Michelsen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.
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.