Iva Dostanic‐Larson
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Physiology
- Co-authors
- Jerry B. LingrelJohn N. LorenzJames W. Van HuysseAmy E. MoseleyJon NeumannSuzy ComhairAlejandro C. ArroligaValerie M. Lasko
- Topics
- Ion Transport and Channel Regulation (6 papers)Nitric Oxide and Endothelin Effects (3 papers)Hormonal Regulation and Hypertension (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Society of NephrologyAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- United StatesCanada
In The Last Decade
Iva Dostanic‐Larson
8 papers receiving 404 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 287
- Pulmonary and Respiratory Medicine 118
- Endocrinology, Diabetes and Metabolism 106
- Cardiology and Cardiovascular Medicine 90
- Physiology 75
Countries citing papers authored by Iva Dostanic‐Larson
This map shows the geographic impact of Iva Dostanic‐Larson'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 Iva Dostanic‐Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iva Dostanic‐Larson more than expected).
Fields of papers citing papers by Iva Dostanic‐Larson
This network shows the impact of papers produced by Iva Dostanic‐Larson. 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 Iva Dostanic‐Larson. The network helps show where Iva Dostanic‐Larson may publish in the future.
Co-authorship network of co-authors of Iva Dostanic‐Larson
This figure shows the co-authorship network connecting the top 25 collaborators of Iva Dostanic‐Larson. A scholar is included among the top collaborators of Iva Dostanic‐Larson 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 Iva Dostanic‐Larson. Iva Dostanic‐Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 22 | |
| 4 | 55 | |
| 5 | 55 | |
| 6 | 94 | |
| 7 | 13 | |
| 8 | 150 |
About Iva Dostanic‐Larson
Iva Dostanic‐Larson is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (6 papers), Nitric Oxide and Endothelin Effects (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (106 citations), Molecular Biology (287 citations) and Sensory Systems (20 citations). Iva Dostanic‐Larson has collaborated with scholars based in United States and Canada. Frequent co-authors include Jerry B. Lingrel, John N. Lorenz, James W. Van Huysse, Amy E. Moseley, Jon Neumann, Suzy Comhair, Alejandro C. Arroliga, Valerie M. Lasko, Richard J. Paul and Serpil C. Erzurum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Society of Nephrology and American Journal of Physiology-Heart and Circulatory Physiology.
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.