Michela Riz

14 papers receiving 308 citations

Peers

Michela Riz
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 138
  • Surgery 140
  • Biophysics 15
  • Cellular and Molecular Neuroscience 44
  • Physiology 11
Replace Maša Skelin Klemen with:
Maša Skelin Klemen Slovenia
Charles L. Zimliki United States
M. Braun United Kingdom
Lidija Križančić Bombek Slovenia
Chae Young Japan
Matthew J. Westacott United States
Ambhighainath Ganesan United States
Spyros Zissimopoulos United Kingdom
Despoina Aslanoglou United States
Joshua R. St. Clair United States
Michela Riz relative to Maša Skelin Klemen Slovenia Maša Skelin Klemen's profile →
Citations per field
00.5×3.8×
Maša Skelin Klemen · 1×
Citations per year

Countries citing papers authored by Michela Riz

Since Specialization
Citations

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

Fields of papers citing papers by Michela Riz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michela Riz, 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 Michela Riz Line = papers co-authored together Michela Riz links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201765
2 201459
3 202140
4 201933
5 201224
6 201819
7 201118
8 201516
9 201612
10 20159
11 20148
12 20184
13 20243
14 20152

About Michela Riz

Michela Riz is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Biophysics and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 312 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Pancreatic function and diabetes (5 papers), Diabetes Management and Research (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cellular transport and secretion (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (138 citations), Surgery (140 citations), Biophysics (15 citations), Cellular and Molecular Neuroscience (44 citations) and Physiology (11 citations). Michela Riz has collaborated with scholars based in Italy, Germany and Canada. Frequent co-authors include Morten Gram Pedersen, Matthias Braun, Claudio Cobelli, Michele Schiavon, Thomas Klabunde, R. Visentin, Chiara Dalla Man, Giuliana Cortese, Mark S. Talary and Nikhil R. Gandasi. Their work appears in journals such as Diabetes Obesity and Metabolism, PLoS Computational Biology, American Journal of Physiology-Endocrinology and Metabolism, Biochemical and Biophysical Research Communications and Mathematical Biosciences.

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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