Iva Perovic
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neurological diseases and metabolism
- Biomaterials top 10%
- Calcium Carbonate Crystallization and Inhibition
Papers in
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- Calcium Carbonate Crystallization and Inhibition 5
-
- Signaling Pathways in Disease 1
- Co-authors
- Thomas C. Pochapsky (6 shared papers)John Spencer Evans (6 shared papers)Dagmar Ringe (1 shared paper)Jeffrey N. Agar (1 shared paper)Derrick E. Johnson (1 shared paper)Alice Kaganovich (1 shared paper)Wei Wang (1 shared paper)Francisco J. Asturias (1 shared paper)
- Journals
- Biochemistry (4 papers)Journal of the American Chemical Society (2 papers)ACS Omega (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Iva Perovic
11 papers receiving 737 citations
Peers
Comparison fields: 5 of 82
- Neurology 377
- Biomaterials 130
- Paleontology 64
- Physiology 231
- Cellular and Molecular Neuroscience 124
Countries citing papers authored by Iva Perovic
This map shows the geographic impact of Iva Perovic'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 Perovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iva Perovic more than expected).
Fields of papers citing papers by Iva Perovic
This network shows the impact of papers produced by Iva Perovic. 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 Perovic. The network helps show where Iva Perovic may publish in the future.
Co-authors
The 25 scholars most cited alongside Iva Perovic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 396 | |
| 2 | 2013 | 89 | |
| 3 | 2010 | 48 | |
| 4 | 2011 | 47 | |
| 5 | 2014 | 33 | |
| 6 | 2014 | 29 | |
| 7 | 2004 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2016 | 21 | |
| 10 | 2016 | 16 | |
| 11 | 2014 | 11 | |
| 12 | 2020 | 1 |
About Iva Perovic
Iva Perovic is a scholar working on Biomaterials, Molecular Biology, Paleontology, Materials Chemistry and Neurology, having authored 12 papers that have together received 743 indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (5 papers), Paleontology and Stratigraphy of Fossils (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Bone Tissue Engineering Materials (2 papers), Minerals Flotation and Separation Techniques (1 paper), Cephalopods and Marine Biology (1 paper), Signaling Pathways in Disease (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Neurology (377 citations), Biomaterials (130 citations), Paleontology (64 citations), Physiology (231 citations) and Cellular and Molecular Neuroscience (124 citations). Iva Perovic has collaborated with scholars based in United States and Germany. Frequent co-authors include Thomas C. Pochapsky, John Spencer Evans, Dagmar Ringe, Jeffrey N. Agar, Derrick E. Johnson, Alice Kaganovich, Wei Wang, Francisco J. Asturias, Mark Cookson and Gregory A. Petsko. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, ACS Omega, Bioorganic & Medicinal Chemistry and Journal of Biological Chemistry.
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.