Tamara Štambuk

612 total citations
19 papers, 316 citations indexed

About

Tamara Štambuk is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Tamara Štambuk has authored 19 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Surgery. Recurrent topics in Tamara Štambuk's work include Glycosylation and Glycoproteins Research (13 papers), Diabetes and associated disorders (12 papers) and Pancreatic function and diabetes (9 papers). Tamara Štambuk is often cited by papers focused on Glycosylation and Glycoproteins Research (13 papers), Diabetes and associated disorders (12 papers) and Pancreatic function and diabetes (9 papers). Tamara Štambuk collaborates with scholars based in Croatia, United States and United Kingdom. Tamara Štambuk's co-authors include Gordan Lauc, Olga Gornik, Domagoj Kifer, Vlatka Zoldoš, Marija Klasić, Frano Vučković, Toma Keser, Olga Kuxhaus, Jerko Štambuk and Markus Perola and has published in prestigious journals such as Nature Communications, PLoS ONE and Diabetes Care.

In The Last Decade

Tamara Štambuk

18 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Štambuk Croatia 10 240 118 74 74 36 19 316
Mirna Šimurina United Kingdom 6 284 1.2× 172 1.5× 132 1.8× 70 0.9× 36 1.0× 6 348
Tamara Pavić Croatia 9 341 1.4× 142 1.2× 147 2.0× 89 1.2× 56 1.6× 10 419
Liesbeth Desmyter Belgium 8 250 1.0× 67 0.6× 38 0.5× 42 0.6× 44 1.2× 10 333
Mitali Bhattacharjee India 6 154 0.6× 53 0.4× 31 0.4× 13 0.2× 9 0.3× 6 305
Seiji Matuo Japan 8 201 0.8× 42 0.4× 36 0.5× 64 0.9× 29 0.8× 13 342
Emil Carlsson United Kingdom 9 166 0.7× 96 0.8× 31 0.4× 14 0.2× 6 0.2× 20 314
Lars A.T. Meijer Netherlands 8 310 1.3× 30 0.3× 26 0.4× 25 0.3× 9 0.3× 8 362
Tyler Kochel United States 10 203 0.8× 86 0.7× 25 0.3× 69 0.9× 12 0.3× 13 399
Peter Yan United States 6 153 0.6× 179 1.5× 11 0.1× 23 0.3× 11 0.3× 9 365
Anne Barnier France 9 261 1.1× 108 0.9× 9 0.1× 47 0.6× 119 3.3× 14 309

Countries citing papers authored by Tamara Štambuk

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Štambuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Štambuk

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

All Works

19 of 19 papers shown
1.
Rodríguez, Elke, Tamara Štambuk, Irena Trbojević‐Akmačić, et al.. (2025). Longitudinal study reveals plasma glycans associations with prediabetes/type 2 diabetes in KORA study. Cardiovascular Diabetology. 24(1). 321–321.
2.
Das, Jayanta, Lovorka Đerek, Daniel W. Belsky, et al.. (2025). A 2-year calorie restriction intervention may reduce glycomic biological age biomarkers – a pilot study. PubMed. 11(1). 71–71. 1 indexed citations
3.
Štambuk, Tamara, Domagoj Kifer, Niall Dempster, et al.. (2024). Alterations in plasma protein N-glycosylation after caloric restriction and bariatric surgery. Surgery for Obesity and Related Diseases. 20(6). 587–596. 1 indexed citations
4.
5.
Louca, Panayiotis, Tamara Štambuk, Ana Nogal, et al.. (2023). Plasma protein N-glycome composition associates with postprandial lipaemic response. BMC Medicine. 21(1). 231–231. 1 indexed citations
6.
Štambuk, Tamara, Domagoj Kifer, Lea Duvnjak, Marijana Vučić Lovrenčić, & Olga Gornik. (2023). Associations between plasma protein, IgG and IgA N-glycosylation and metabolic health markers in pregnancy and gestational diabetes. PLoS ONE. 18(4). e0284838–e0284838. 9 indexed citations
7.
Birukov, Anna, Fabian Eichelmann, Olga Kuxhaus, et al.. (2022). Immunoglobulin G N-Glycosylation Signatures in Incident Type 2 Diabetes and Cardiovascular Disease. Diabetes Care. 45(11). 2729–2736. 30 indexed citations
8.
Štambuk, Tamara, Toma Keser, Daniela Gašperíková, et al.. (2022). Fucosylated AGP glycopeptides as biomarkers of HNF1A-Maturity onset diabetes of the young. Diabetes Research and Clinical Practice. 185. 109226–109226. 4 indexed citations
9.
Štambuk, Tamara & Olga Gornik. (2021). Protein Glycosylation in Diabetes. Advances in experimental medicine and biology. 1325. 285–305. 10 indexed citations
10.
Štambuk, Tamara, Niall Dempster, Domagoj Kifer, et al.. (2021). Extensive weight loss reduces glycan age by altering IgG N-glycosylation. International Journal of Obesity. 45(7). 1521–1531. 42 indexed citations
11.
Jansen, Bas C., Richard A. Gardner, Paulina A. Urbanowicz, et al.. (2021). Interlaboratory evaluation of plasma N-glycan antennary fucosylation as a clinical biomarker for HNF1A-MODY using liquid chromatography methods. Glycoconjugate Journal. 38(3). 375–386. 9 indexed citations
12.
Urbanowicz, Paulina A., Richard A. Gardner, Haiyang Wu, et al.. (2021). Development of an exoglycosidase plate-based assay for detecting α1-3,4 fucosylation biomarker in individuals with HNF1A-MODY. Glycobiology. 32(3). 230–238. 3 indexed citations
13.
Benedetti, Elisa, Maja Pučić‐Baković, Toma Keser, et al.. (2020). Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference. Metabolites. 10(7). 271–271. 15 indexed citations
14.
Benedetti, Elisa, Maja Pučić‐Baković, Toma Keser, et al.. (2020). A strategy to incorporate prior knowledge into correlation network cutoff selection. Nature Communications. 11(1). 5153–5153. 17 indexed citations
15.
Wittenbecher, Clemens, Tamara Štambuk, Olga Kuxhaus, et al.. (2020). Plasma N-Glycans as Emerging Biomarkers of Cardiometabolic Risk: A Prospective Investigation in the EPIC-Potsdam Cohort Study. Diabetes Care. 43(3). 661–668. 54 indexed citations
16.
Wittenbecher, Clemens, Tamara Štambuk, Olga Kuxhaus, et al.. (2020). Plasma N-Glycans as Emerging Biomarkers of Cardiometabolic Risk: A Prospective Investigation in the EPIC-Potsdam Cohort Study. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 5 indexed citations
17.
Kifer, Domagoj, Olga Gornik, Lucija Klarić, et al.. (2020). Glycosylation Alterations in Multiple Sclerosis Show Increased Proinflammatory Potential. Biomedicines. 8(10). 410–410. 34 indexed citations
18.
Štambuk, Tamara, Marija Klasić, Vlatka Zoldoš, & Gordan Lauc. (2020). N-glycans as functional effectors of genetic and epigenetic disease risk. Molecular Aspects of Medicine. 79. 100891–100891. 40 indexed citations
19.
Zaytseva, Olga O., Maxim B. Freidin, Toma Keser, et al.. (2019). Heritability of Human Plasma N-Glycome. Journal of Proteome Research. 19(1). 85–91. 28 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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