Lora Dukić

411 citations
30 papers · 269 · h-index 11

Impact in

    • Clinical Laboratory Practices and Quality Control
    • Alzheimer's disease research and treatments
    • Renal function and acid-base balance

Papers in

Lora Dukić

27 papers receiving 261 citations

Peers

Lora Dukić
Comparison fields: 5 of 79
  • Physiology 85
  • Nephrology 23
  • Endocrine and Autonomic Systems 15
  • Statistics, Probability and Uncertainty 14
  • Toxicology 6
Replace Sunil Kumar Nanda with:
Sunil Kumar Nanda India
Guillaume Grzych France
Gary Weaving United Kingdom
Karin E. Trajcevski Canada
Dennis M.J. Muris Netherlands
Ilias Kanellos Greece
Peter Merrill United States
Ling Ge United States
Maggie Lieu Australia
Teslime Ayaz Türkiye
Lora Dukić relative to Sunil Kumar Nanda India Sunil Kumar Nanda's profile →
Citations per field
00.5×
Sunil Kumar Nanda · 1×
Citations per year

Countries citing papers authored by Lora Dukić

Since Specialization
Citations

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

Fields of papers citing papers by Lora Dukić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 201734
3 201825
4 201622
5 201420
6 201815
7 201513
8 201712
9 201910
10 201410
11 201310
12 20179
13 20246
14 20166
15 20135
16 20194
17 20253
18 20193
19 20203
20 20163

About Lora Dukić

Lora Dukić is a scholar working on Physiology, Molecular Biology, Nephrology, Pathology and Forensic Medicine and Oncology, having authored 30 papers that have together received 269 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), S100 Proteins and Annexins (4 papers), Renal function and acid-base balance (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Folate and B Vitamins Research (1 paper), Biomarkers in Disease Mechanisms (1 paper), Radioactive Decay and Measurement Techniques (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Physiology (85 citations), Nephrology (23 citations), Endocrine and Autonomic Systems (15 citations), Statistics, Probability and Uncertainty (14 citations) and Toxicology (6 citations). Lora Dukić has collaborated with scholars based in Croatia, Canada and Italy. Frequent co-authors include Ana-Maria Šimundić, Marijana Miler, Eleftherios P. Diamandis, Ilijana Begcevic, Lara Milevoj Kopčinović, Jasna Leniček Krleža, Arijana Lovrenčić‐Huzjan, Vida Demarin, Vesna Šerić and Vanja Bašić-Kes. Their work appears in journals such as Biochemia Medica, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Biochemistry, Physiological Research and Clinica Chimica Acta.

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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