Ivana Ćelap

32 papers receiving 341 citations

Peers

Ivana Ćelap
Comparison fields: 5 of 78
  • Internal Medicine 33
  • Statistics, Probability and Uncertainty 50
  • Physiology 113
  • Clinical Biochemistry 23
  • Nephrology 24
Replace Jasna Leniček Krleža with:
Jasna Leniček Krleža Croatia
Marit Sverresdotter Sylte Norway
Vanja Radišić Biljak Croatia
Udo Steigerwald Germany
Yasemin Budak Türkiye
Nichole Korpi‐Steiner United States
Nathalie C. V. Péquériaux Netherlands
Elisabet González-Lao Spain
Berna Aslan Türkiye
Paul M. Allison United States
Ivana Ćelap relative to Jasna Leniček Krleža Croatia Jasna Leniček Krleža's profile →
Citations per field
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Jasna Leniček Krleža · 1×
Citations per year

Countries citing papers authored by Ivana Ćelap

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Ćelap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 201837
3 201628
4 202224
5 201719
6 202019
7 201917
8 202216
9 201811
10 201910
11 20219
12 20159
13 20178
14 20197
15 20137
16 20216
17 20226
18 20145
19 20145
20
Verification policies in Croatian medical biochemistry laboratories: a survey of the practice
20224

About Ivana Ćelap

Ivana Ćelap is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Epidemiology, Cancer Research and Internal Medicine, having authored 39 papers that have together received 352 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Meta-analysis and systematic reviews (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Internal Medicine (33 citations), Statistics, Probability and Uncertainty (50 citations), Physiology (113 citations), Clinical Biochemistry (23 citations) and Nephrology (24 citations). Ivana Ćelap has collaborated with scholars based in Croatia, Germany and Bosnia and Herzegovina. Frequent co-authors include Ana-Maria Šimundić, Nora Nikolac, Vesna Šupak Smolčić, Marijana Miler, Sandra Margetić, Ines Vukasović, Arijana Lovrenčić‐Huzjan, Vanja Bašić Kes, Diana Delić-Brkljačić and Maja Cigrovski Berković. Their work appears in journals such as Biochemia Medica, Clinical Chemistry and Laboratory Medicine (CCLM), Research and Practice in Thrombosis and Haemostasis, International Journal of Molecular Sciences and Acta Pharmaceutica.

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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