Spomenka Ljubić

797 total citations
30 papers, 554 citations indexed

About

Spomenka Ljubić is a scholar working on Ophthalmology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Spomenka Ljubić has authored 30 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ophthalmology, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Spomenka Ljubić's work include Retinal Diseases and Treatments (12 papers), Retinal Imaging and Analysis (8 papers) and Advanced Glycation End Products research (6 papers). Spomenka Ljubić is often cited by papers focused on Retinal Diseases and Treatments (12 papers), Retinal Imaging and Analysis (8 papers) and Advanced Glycation End Products research (6 papers). Spomenka Ljubić collaborates with scholars based in Croatia, Germany and Poland. Spomenka Ljubić's co-authors include Martina Tomić, Snježana Kaštelan, Antonela Gverović Antunica, Nikša Turk, Bojan Benko, Zdenka Turk, Nikica Car, Željko Metelko, Tatjana Peroš-Golubičić and Gojka Roglić and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Diabetes.

In The Last Decade

Spomenka Ljubić

28 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Spomenka Ljubić Croatia 12 194 123 115 109 90 30 554
Marco Guarneri Italy 16 36 0.2× 40 0.3× 22 0.2× 67 0.6× 95 1.1× 28 638
Nakayasu Wake Japan 4 47 0.2× 30 0.2× 93 0.8× 565 5.2× 184 2.0× 5 822
Ceyda Kabaroğlu Türkiye 12 42 0.2× 15 0.1× 55 0.5× 35 0.3× 117 1.3× 26 439
K Asayama Japan 11 47 0.2× 29 0.2× 18 0.2× 93 0.9× 46 0.5× 23 475
Mohsen Kerkeni Tunisia 13 19 0.1× 23 0.2× 245 2.1× 115 1.1× 96 1.1× 21 530
Mariapina Pomilio Italy 10 26 0.1× 15 0.1× 115 1.0× 147 1.3× 73 0.8× 11 567
Jennifer S.L. Tan Australia 11 776 4.0× 508 4.1× 70 0.6× 21 0.2× 309 3.4× 12 1.1k
Ling Wei China 16 18 0.1× 22 0.2× 86 0.7× 100 0.9× 283 3.1× 24 731
I. Mutaf Türkiye 16 14 0.1× 23 0.2× 94 0.8× 89 0.8× 150 1.7× 28 610
Y Ohkubo Japan 4 34 0.2× 27 0.2× 30 0.3× 529 4.9× 149 1.7× 9 731

Countries citing papers authored by Spomenka Ljubić

Since Specialization
Citations

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

Fields of papers citing papers by Spomenka Ljubić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spomenka Ljubić

This figure shows the co-authorship network connecting the top 25 collaborators of Spomenka Ljubić. A scholar is included among the top collaborators of Spomenka Ljubić 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 Spomenka Ljubić. Spomenka Ljubić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tomić, Martina, et al.. (2024). Patients with Type 2 Diabetes, Higher Blood Pressure, and Infrequent Fundus Examinations Have a Higher Risk of Sight-Threatening Retinopathy. Journal of Clinical Medicine. 13(9). 2496–2496. 2 indexed citations
3.
Bulum, Tomislav, et al.. (2023). Systolic and Diastolic Blood Pressure Are Independent Risk Factors for Diabetic Retinopathy in Patients with Type 2 Diabetes. Biomedicines. 11(8). 2242–2242. 10 indexed citations
4.
Tomić, Martina, et al.. (2022). HDL cholesterol is a protective predictor in the development and progression of retinopathy in type 1 diabetes: A 15-year follow-up study. Diabetes Research and Clinical Practice. 186. 109814–109814. 6 indexed citations
5.
Tomić, Martina, et al.. (2021). Renal Function is Associated with Cataract Development in Patients with Type 2 Diabetes. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Tomić, Martina, et al.. (2021). Hypertension and Hypercholesterolemia are Associated with Cataract Development in Patients with Type 2 Diabetes. High Blood Pressure & Cardiovascular Prevention. 28(5). 475–481. 9 indexed citations
7.
Tomić, Martina, et al.. (2021). Plasma homocysteine is associated with nonproliferative retinopathy in patients with type 2 diabetes without renal disease. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(1). 102355–102355. 6 indexed citations
8.
Lucio, Marianna, Rinea Barbir, Marijana Vučić Lovrenčić, et al.. (2020). Association between arsenic exposure and biomarkers of type 2 diabetes mellitus in a Croatian population: A comparative observational pilot study. The Science of The Total Environment. 720. 137575–137575. 20 indexed citations
9.
Konjevoda, Paško, et al.. (2017). Age-dependent systemic DNA damage in early Type 2 Diabetes mellitus. Acta Biochimica Polonica. 64(2). 233–238. 10 indexed citations
10.
Kaštelan, Snježana, et al.. (2014). Body Mass Index and Retinopathy in Type 1 Diabetic Patients. International Journal of Endocrinology. 2014. 1–9. 13 indexed citations
11.
Lovrenčić, Marijana Vučić, et al.. (2013). Validation of Point-of-Care Glucose Testing for Diagnosis of Type 2 Diabetes. International Journal of Endocrinology. 2013. 1–6. 12 indexed citations
12.
Kaštelan, Snježana, et al.. (2013). Inflammation and Pharmacological Treatment in Diabetic Retinopathy. Mediators of Inflammation. 2013. 1–8. 88 indexed citations
13.
Tomić, Martina, Spomenka Ljubić, & Snježana Kaštelan. (2013). The role of inflammation and endothelial dysfunction in the pathogenesis of diabetic retinopathy.. PubMed. 37 Suppl 1. 51–7. 36 indexed citations
14.
Turk, Zdenka, et al.. (2012). Endogenous secretory receptor for advanced glycation endproducts (esRAGE) and AGEs/esRAGE ratio as biomarkers of atherosclerosis risk in type 2 diabetes. Diabetes. 1 indexed citations
15.
Ljubić, Spomenka, et al.. (2010). Peripheral arterial disease.. 39(2). 67–77. 1 indexed citations
16.
Ljubić, Spomenka, et al.. (2010). Silent ischemia and diabetes mellitus.. 39(2). 57–65. 11 indexed citations
17.
Ljubić, Spomenka, Nikica Car, Željko Metelko, et al.. (2010). Lipoprotein(a) predicts progression of carotid artery intima-media thickening in patients with type 2 diabetes: A four-year follow-up. Wiener klinische Wochenschrift. 122(5-6). 159–164. 12 indexed citations
18.
Turk, Zdenka, Spomenka Ljubić, Nikša Turk, & Bojan Benko. (2001). Detection of autoantibodies against advanced glycation endproducts and AGE-immune complexes in serum of patients with diabetes mellitus. Clinica Chimica Acta. 303(1-2). 105–115. 86 indexed citations
19.
Turk, Zdenka, et al.. (1999). Antibodies in NIDDM serum binding to advanced glycation modified proteins. 1 indexed citations
20.
Ljubić, Spomenka, et al.. (1998). Reduction of Diffusion Capacity for Carbon Monoxide in Diabetic Patients. CHEST Journal. 114(4). 1033–1035. 61 indexed citations

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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