Ivan Gudelj

2.7k total citations
48 papers, 1.1k citations indexed

About

Ivan Gudelj is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Ivan Gudelj has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Immunology. Recurrent topics in Ivan Gudelj's work include Glycosylation and Glycoproteins Research (29 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Galectins and Cancer Biology (9 papers). Ivan Gudelj is often cited by papers focused on Glycosylation and Glycoproteins Research (29 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Galectins and Cancer Biology (9 papers). Ivan Gudelj collaborates with scholars based in Croatia, United States and Italy. Ivan Gudelj's co-authors include Gordan Lauc, Marija Pezer, Irena Trbojević‐Akmačić, Frano Vučković, Maja Pučić‐Baković, Dragan Primorac, Jerko Štambuk, Markus Perola, Ivo Ugrina and Davor Plavec and has published in prestigious journals such as PLoS ONE, Circulation Research and Scientific Reports.

In The Last Decade

Ivan Gudelj

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Gudelj Croatia 18 733 417 319 142 129 48 1.1k
Jae Hong No South Korea 24 572 0.8× 247 0.6× 57 0.2× 103 0.7× 119 0.9× 126 2.0k
Monica Wang United States 12 334 0.5× 383 0.9× 77 0.2× 62 0.4× 71 0.6× 77 988
Katja Porvari Finland 20 603 0.8× 182 0.4× 51 0.2× 133 0.9× 98 0.8× 63 1.2k
Ahmad Al‐Attar United States 22 662 0.9× 650 1.6× 38 0.1× 51 0.4× 90 0.7× 50 1.6k
Daniel Ein United States 16 752 1.0× 112 0.3× 217 0.7× 88 0.6× 264 2.0× 27 1.1k
Alan Gill United States 16 305 0.4× 149 0.4× 189 0.6× 35 0.2× 39 0.3× 23 845
Arline H. Laughter United States 19 453 0.6× 477 1.1× 131 0.4× 47 0.3× 76 0.6× 29 1.2k
Sandrine Chouzenoux France 27 353 0.5× 796 1.9× 34 0.1× 119 0.8× 45 0.3× 70 1.9k
Victor S. Sloan United States 14 227 0.3× 503 1.2× 107 0.3× 40 0.3× 68 0.5× 33 1.2k

Countries citing papers authored by Ivan Gudelj

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Gudelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Gudelj

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Gudelj. A scholar is included among the top collaborators of Ivan Gudelj 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 Ivan Gudelj. Ivan Gudelj 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.
Kifer, Domagoj, Janko Szavits-Nossan, Lovorka Đerek, et al.. (2025). High-Throughput Site-Specific N-Glycosylation Profiling of Human Fibrinogen in Atrial Fibrillation. Journal of Proteome Research. 24(4). 2121–2134. 1 indexed citations
2.
Hoshi, Rosangela, Yanyan Liu, Irena Trbojević‐Akmačić, et al.. (2024). N-Glycosylation Profiles of Immunoglobulin G and Future Cardiovascular Events. Circulation Research. 134(5). e3–e14. 11 indexed citations
3.
Gudelj, Ivan, Gabriel Santpere, Mislav Novokmet, et al.. (2023). Human-specific features and developmental dynamics of the brain N-glycome. Science Advances. 9(49). eadg2615–eadg2615. 9 indexed citations
4.
Szavits-Nossan, Janko, et al.. (2023). The N-Glycosylation of Total Plasma Proteins and IgG in Atrial Fibrillation. Biomolecules. 13(4). 605–605. 9 indexed citations
5.
Vučković, Frano, et al.. (2023). IgG N-Glycosylation Is Altered in Coronary Artery Disease. Biomolecules. 13(2). 375–375. 17 indexed citations
6.
Habek, Mario, et al.. (2023). Higher MRI lesion load in multiple sclerosis is related to the N-glycosylation changes of cerebrospinal fluid immunoglobulin G. Multiple Sclerosis and Related Disorders. 79. 104921–104921. 4 indexed citations
7.
Lauc, Gordan, et al.. (2023). Storage stability and HILIC-UHPLC-FLR analysis of immunoglobulin G N-glycome from saliva. Analytical and Bioanalytical Chemistry. 415(28). 6985–6993. 5 indexed citations
8.
Gudelj, Ivan, et al.. (2022). N-Glycosylation and Inflammation; the Not-So-Sweet Relation. Frontiers in Immunology. 13. 893365–893365. 73 indexed citations
9.
10.
Gudelj, Ivan, Perttu Salo, Irena Trbojević‐Akmačić, et al.. (2018). Low galactosylation of IgG associates with higher risk for future diagnosis of rheumatoid arthritis during 10 years of follow-up. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 2 indexed citations
11.
Miše, Kornelija, et al.. (2018). Bronchoalveolar pH and inflammatory biomarkers in patients with acute exacerbation of chronic obstructive pulmonary disease. Journal of International Medical Research. 47(2). 791–802. 9 indexed citations
12.
Gudelj, Ivan, Perttu Salo, Irena Trbojević‐Akmačić, et al.. (2018). Low galactosylation of IgG associates with higher risk for future diagnosis of rheumatoid arthritis during 10 years of follow-up. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(6). 2034–2039. 69 indexed citations
13.
Košiček, Marko, Ivan Gudelj, Anita Horvatić, et al.. (2018). N-glycome of the Lysosomal Glycocalyx is Altered in Niemann-Pick Type C Disease (NPC) Model Cells. Molecular & Cellular Proteomics. 17(4). 631–642. 31 indexed citations
14.
Gudelj, Ivan, Gordan Lauc, & Marija Pezer. (2018). Immunoglobulin G glycosylation in aging and diseases. Cellular Immunology. 333. 65–79. 294 indexed citations
15.
16.
Gudelj, Ivan, Marco Baciarello, Ivo Ugrina, et al.. (2016). Changes in total plasma and serum N-glycome composition and patient-controlled analgesia after major abdominal surgery. Scientific Reports. 6(1). 31234–31234. 22 indexed citations
17.
Grubišić, Tihana Žanić, et al.. (2015). Systemic inflammation up-regulates serum hepcidin in exacerbations and stabile chronic obstructive pulmonary disease. Clinical Biochemistry. 48(18). 1252–1257. 20 indexed citations
18.
Zierer, Jonas, Ivan Gudelj, Jerko Štambuk, et al.. (2015). Glycosylation Profile of IgG in Moderate Kidney Dysfunction. Journal of the American Society of Nephrology. 27(3). 933–941. 53 indexed citations
19.
Savičević, Anamarija Jurčev, et al.. (2013). Health system delay in pulmonary tuberculosis treatment in a country with an intermediate burden of tuberculosis: a cross-sectional study. BMC Public Health. 13(1). 250–250. 27 indexed citations
20.
Mise, Koki, et al.. (2011). Sarcoidosis and tuberculosis in South Croatia: Are there epidemiological similarities or not?. Public Health. 125(10). 734–737. 7 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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