Iva Perovic

867 citations
12 papers · 763 · h-index 11

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

Iva Perovic

11 papers receiving 755 citations

Peers

Iva Perovic
Comparison fields: 5 of 81
  • Neurology 381
  • Biomaterials 135
  • Physiology 228
  • Paleontology 67
  • Neurology 56
Replace Joseph Jen‐Tse Huang with:
Joseph Jen‐Tse Huang Taiwan
Daniela C. Popescu United States
Xinrui Gui China
Diego Chiappe Switzerland
Sowmya Bekshe Lokappa United States
Giambattista Guaitoli Germany
Véronique Sauvé Canada
Soumik Ray India
Jaerak Chang South Korea
Panagiotis S. Athanasopoulos Netherlands
Iva Perovic relative to Joseph Jen‐Tse Huang Taiwan Joseph Jen‐Tse Huang's profile →
Citations per field
00.5×2×4×6×8×9.6×
Joseph Jen‐Tse Huang · 1×
Citations per year

Countries citing papers authored by Iva Perovic

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Iva Perovic Line = papers co-authored together Iva Perovic links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011403
2 201390
3 201055
4 201147
5 201435
6 201432
7 200427
8 201325
9 201621
10 201616
11 201411
12 20201

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 763 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), Corrosion Behavior and Inhibition (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Neurological disorders and treatments (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Neurology (381 citations), Biomaterials (135 citations), Physiology (228 citations), Paleontology (67 citations) and Neurology (56 citations). Iva Perovic has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas C. Pochapsky, John Spencer Evans, Jingling Liao, Derrick E. Johnson, Jared R. Auclair, Jeffrey N. Agar, Mark Cookson, B.N. Webb, Gregory A. Petsko and Johnathan Chittuluru. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry, ACS Omega and Proceedings of the National Academy of Sciences.

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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