M. Gutniak
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 2%
- Molecular Biology top 10%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Jens J. HolstSuad EfendićBo ÅhrénPer M. HellströmCathrine ØrskovAnders ThorellErik NäslundValdemar Grill
- Topics
- Diabetes Treatment and Management (22 papers)Pancreatic function and diabetes (12 papers)Diet and metabolism studies (10 papers)
- Partner nations
- SwedenDenmarkUnited Kingdom
In The Last Decade
M. Gutniak
43 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 2.6k
- Surgery 1.7k
- Molecular Biology 968
- Physiology 915
- Cardiology and Cardiovascular Medicine 562
Countries citing papers authored by M. Gutniak
This map shows the geographic impact of M. Gutniak'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. Gutniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gutniak more than expected).
Fields of papers citing papers by M. Gutniak
This network shows the impact of papers produced by M. Gutniak. 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. Gutniak. The network helps show where M. Gutniak may publish in the future.
Co-authorship network of co-authors of M. Gutniak
This figure shows the co-authorship network connecting the top 25 collaborators of M. Gutniak. A scholar is included among the top collaborators of M. Gutniak 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. Gutniak. M. Gutniak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effects of glucagon-like peptide-1 on endothelial function in type 2 diabetes patients with stable coronary artery diseasebreakdown → | 561 |
| 2 | 9 | |
| 3 | 84 | |
| 4 | 23 | |
| 5 | 366 | |
| 6 | 114 | |
| 7 | 103 | |
| 8 | 11 | |
| 9 | 242 | |
| 10 | 11 | |
| 11 | 64 | |
| 12 | 87 | |
| 13 | Antidiabetogenic Effect of Glucagon-like Peptide-1 (7–36)amide in Normal Subjects and Patients with Diabetes Mellitusbreakdown → | 725 |
| 14 | 75 | |
| 15 | 43 | |
| 16 | 44 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 24 | |
| 20 | 44 |
About M. Gutniak
M. Gutniak is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 44 papers that have together received 4.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (22 papers), Pancreatic function and diabetes (12 papers) and Diet and metabolism studies (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.6k citations), Endocrine and Autonomic Systems (492 citations) and Surgery (1.7k citations). M. Gutniak has collaborated with scholars based in Sweden, Denmark and United Kingdom. Frequent co-authors include Jens J. Holst, Suad Efendić, Bo Åhrén, Per M. Hellström, Cathrine Ørskov, Anders Thorell, Erik Näslund, Valdemar Grill, Qimin Zhang and Fan Zhang. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Gastroenterology.
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.