Michael T. Pedrini
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Nephrology top 2%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Robert J. SmithJosef R. PatschJohanne M. MurrayRaphael BuenoFrancesco GiorginoChristoph EbenbichlerJulia EnglChristian Ciardi
- Topics
- Adipose Tissue and Metabolism (6 papers)Metabolism, Diabetes, and Cancer (6 papers)Pancreatic function and diabetes (5 papers)
- Partner nations
- AustriaUnited StatesItaly
In The Last Decade
Michael T. Pedrini
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Physiology 308
- Endocrinology, Diabetes and Metabolism 307
- Molecular Biology 302
- Nephrology 293
- Cardiology and Cardiovascular Medicine 124
Countries citing papers authored by Michael T. Pedrini
This map shows the geographic impact of Michael T. Pedrini'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 Michael T. Pedrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Pedrini more than expected).
Fields of papers citing papers by Michael T. Pedrini
This network shows the impact of papers produced by Michael T. Pedrini. 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 Michael T. Pedrini. The network helps show where Michael T. Pedrini may publish in the future.
Co-authorship network of co-authors of Michael T. Pedrini
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Pedrini. A scholar is included among the top collaborators of Michael T. Pedrini 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 Michael T. Pedrini. Michael T. Pedrini 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 | 45 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 40 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 34 | |
| 11 | 9 | |
| 12 | 71 | |
| 13 | 39 | |
| 14 | 57 | |
| 15 | 64 | |
| 16 | The Effect of Dietary Protein Restriction on the Progression of Diabetic and Nondiabetic Renal Diseases | 14 |
| 17 | 16 | |
| 18 | 2 | |
| 19 | 111 | |
| 20 | 6 |
About Michael T. Pedrini
Michael T. Pedrini is a scholar working on Endocrine and Autonomic Systems, Nephrology and Physiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Nephrology (293 citations), Endocrinology, Diabetes and Metabolism (307 citations) and Physiology (308 citations). Michael T. Pedrini has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Robert J. Smith, Josef R. Patsch, Johanne M. Murray, Raphael Bueno, Francesco Giorgino, Christoph Ebenbichler, Julia Engl, Christian Ciardi, Alexander Tschoner and T. Tatarczyk. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Annals of Internal Medicine.
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.