Olga T. Hardy
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Surgery top 10%
- Epidemiology top 10%
- Molecular Biology
- Co-authors
- Michael CzechSilvia CorveraSarah M. NicoloroJuerg StraubhaarVishwajeet PuriKaren Gallagher‐DorvalRichard A. PeruginiCharles A. Stanley
- Topics
- Pancreatic function and diabetes (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Olga T. Hardy
19 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 448
- Physiology 352
- Surgery 325
- Epidemiology 298
- Molecular Biology 271
Countries citing papers authored by Olga T. Hardy
This map shows the geographic impact of Olga T. Hardy'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 Olga T. Hardy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga T. Hardy more than expected).
Fields of papers citing papers by Olga T. Hardy
This network shows the impact of papers produced by Olga T. Hardy. 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 Olga T. Hardy. The network helps show where Olga T. Hardy may publish in the future.
Co-authorship network of co-authors of Olga T. Hardy
This figure shows the co-authorship network connecting the top 25 collaborators of Olga T. Hardy. A scholar is included among the top collaborators of Olga T. Hardy 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 Olga T. Hardy. Olga T. Hardy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 49 | |
| 3 | 11 | |
| 4 | 12 | |
| 5 | What causes the insulin resistance underlying obesity?breakdown → | 407 |
| 6 | 29 | |
| 7 | 181 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 54 | |
| 13 | 133 | |
| 14 | 98 | |
| 15 | 26 | |
| 16 | 109 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 45 |
About Olga T. Hardy
Olga T. Hardy is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Physiology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (448 citations), Physiology (352 citations) and Epidemiology (298 citations). Olga T. Hardy has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Michael Czech, Silvia Corvera, Sarah M. Nicoloro, Juerg Straubhaar, Vishwajeet Puri, Karen Gallagher‐Dorval, Richard A. Perugini, Charles A. Stanley, Abass Alavi and N. Scott Adzick. Their work appears in journals such as Nature Communications, Genes & Development and The Journal of Clinical Endocrinology & 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.