Frano Vučković

3.7k total citations
45 papers, 1.2k citations indexed

About

Frano Vučković is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Frano Vučković has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Immunology. Recurrent topics in Frano Vučković's work include Glycosylation and Glycoproteins Research (39 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and Galectins and Cancer Biology (13 papers). Frano Vučković is often cited by papers focused on Glycosylation and Glycoproteins Research (39 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and Galectins and Cancer Biology (13 papers). Frano Vučković collaborates with scholars based in Croatia, United States and United Kingdom. Frano Vučković's co-authors include Gordan Lauc, Maja Pučić‐Baković, Irena Trbojević‐Akmačić, Olga Gornik, Jerko Štambuk, Mislav Novokmet, Harry Campbell, Malcolm G. Dunlop, Evropi Τheodoratou and Ivan Gudelj and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Frano Vučković

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frano Vučković Croatia 18 1.0k 571 501 181 138 45 1.2k
Jerko Štambuk Croatia 16 679 0.7× 447 0.8× 376 0.8× 123 0.7× 83 0.6× 27 838
Marija Pezer United States 13 658 0.6× 418 0.7× 377 0.8× 108 0.6× 61 0.4× 28 863
Agnes L. Hipgrave Ederveen Netherlands 19 721 0.7× 400 0.7× 348 0.7× 68 0.4× 123 0.9× 33 1.0k
Sandra Grau United Kingdom 8 702 0.7× 376 0.7× 520 1.0× 58 0.3× 57 0.4× 10 1.2k
J.J. Keusch Switzerland 17 795 0.8× 228 0.4× 81 0.2× 123 0.7× 104 0.8× 22 1.1k
Natalia Arenas-Ramirez Switzerland 12 587 0.6× 541 0.9× 81 0.2× 77 0.4× 45 0.3× 12 1.2k
Yaping Sun United States 14 460 0.5× 377 0.7× 240 0.5× 64 0.4× 16 0.1× 34 1.1k
Franz‐Georg Hanisch Germany 13 672 0.7× 209 0.4× 179 0.4× 53 0.3× 212 1.5× 19 847
Christoph Schneider Switzerland 12 414 0.4× 447 0.8× 168 0.3× 54 0.3× 80 0.6× 23 789
Katalin Uray Hungary 13 396 0.4× 153 0.3× 135 0.3× 48 0.3× 72 0.5× 41 620

Countries citing papers authored by Frano Vučković

Since Specialization
Citations

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

Fields of papers citing papers by Frano Vučković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frano Vučković

This figure shows the co-authorship network connecting the top 25 collaborators of Frano Vučković. A scholar is included among the top collaborators of Frano Vučković 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 Frano Vučković. Frano Vučković 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
2.
Lauc, Gordan, Mislav Novokmet, Irena Trbojević‐Akmačić, et al.. (2024). Automated high throughput IgG N-glycosylation sample preparation method development on the Tecan Freedom EVO platform. Biochemia Medica. 34(2). 315–326. 1 indexed citations
3.
Kirac, Iva, et al.. (2024). Anastrozole and Tamoxifen Impact on IgG Glycome Composition Dynamics in Luminal A and Luminal B Breast Cancers. Antibodies. 13(1). 9–9. 3 indexed citations
4.
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
5.
Trbojević‐Akmačić, Irena, Frano Vučković, Marija Vilaj, et al.. (2023). Comparative analysis of transferrin and IgG N-glycosylation in two human populations. Communications Biology. 6(1). 312–312. 10 indexed citations
6.
Vučković, Frano, et al.. (2023). IgG N-Glycosylation Is Altered in Coronary Artery Disease. Biomolecules. 13(2). 375–375. 17 indexed citations
7.
Haan, Noortje de, Maja Pučić‐Baković, Mislav Novokmet, et al.. (2022). Developments and perspectives in high-throughput protein glycomics: enabling the analysis of thousands of samples. Glycobiology. 32(8). 651–663. 32 indexed citations
8.
Trbojević‐Akmačić, Irena, Pau Navarro, Yakov A. Tsepilov, et al.. (2022). Genetic regulation of post-translational modification of two distinct proteins. Nature Communications. 13(1). 1586–1586. 23 indexed citations
9.
Vijay, Amrita, Frano Vučković, Irena Trbojević‐Akmačić, et al.. (2022). IgG N-glycome changes during the course of severe COVID-19: An observational study. EBioMedicine. 81. 104101–104101. 22 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.
Kohrt, Wendy M., Jasminka Krištić, Domagoj Kifer, et al.. (2021). Effects of Estradiol on Immunoglobulin G Glycosylation: Mapping of the Downstream Signaling Mechanism. Frontiers in Immunology. 12. 680227–680227. 25 indexed citations
12.
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
13.
Huus, Kelsey E., Marcin Frankowski, Maja Pučić‐Baković, et al.. (2020). Changes in IgA-targeted microbiota following fecal transplantation for recurrent Clostridioides difficile infection. Gut Microbes. 13(1). 1–12. 13 indexed citations
14.
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
15.
Monaghan, Tanya, Maja Pučić‐Baković, Frano Vučković, et al.. (2019). Decreased Complexity of Serum N-glycan Structures Associates with Successful Fecal Microbiota Transplantation for Recurrent Clostridioides difficile Infection. Gastroenterology. 157(6). 1676–1678.e3. 9 indexed citations
16.
Doherty, Margaret, Evropi Τheodoratou, Ian Walsh, et al.. (2018). Plasma N-glycans in colorectal cancer risk. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 8 indexed citations
17.
Vučković, Frano, Evropi Τheodoratou, Maria Timofeeva, et al.. (2016). IgG Glycome in Colorectal Cancer. Clinical Cancer Research. 22(12). 3078–3086. 109 indexed citations
18.
Pučić‐Baković, Maja, Frano Vučković, Karli R. Reiding, et al.. (2016). IgG and IgM glycosylation patterns in patients undergoing image-guided tumor ablation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1860(8). 1786–1794. 10 indexed citations
19.
Vučković, Frano, et al.. (2016). Automated Integration of a UPLC Glycomic Profile. Methods in molecular biology. 1503. 217–233. 17 indexed citations
20.
Trbojević‐Akmačić, Irena, Nicholas T. Ventham, Evropi Τheodoratou, et al.. (2015). Inflammatory Bowel Disease Associates with Proinflammatory Potential of the Immunoglobulin G Glycome. Inflammatory Bowel Diseases. 21(6). 1–1. 136 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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