Maja Pučić‐Baković

6.0k total citations
47 papers, 2.3k citations indexed

About

Maja Pučić‐Baković is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Maja Pučić‐Baković has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 22 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Immunology. Recurrent topics in Maja Pučić‐Baković's work include Glycosylation and Glycoproteins Research (37 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and Galectins and Cancer Biology (13 papers). Maja Pučić‐Baković is often cited by papers focused on Glycosylation and Glycoproteins Research (37 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and Galectins and Cancer Biology (13 papers). Maja Pučić‐Baković collaborates with scholars based in Croatia, United Kingdom and United States. Maja Pučić‐Baković's co-authors include Gordan Lauc, Igor Rudan, Mislav Novokmet, Olga Gornik, Pauline M. Rudd, Harry Campbell, Manfred Wuhrer, Ozren Polašek, Alan F. Wright and Ana Knežević and has published in prestigious journals such as Nature Communications, Gastroenterology and PLoS ONE.

In The Last Decade

Maja Pučić‐Baković

46 papers receiving 2.3k citations

Peers

Maja Pučić‐Baković

IMMUN

RNMI

GENET

Michael Furlong United States

Wouter Laroy Belgium

Patrick Bulau Germany

Christoph Kannicht Germany

David Chang United States

David G. Williams United Kingdom

О. О. Фаворова Russia

Steve Briggs United States

Tim Edmunds United States

Lakshmi Amaravadi United States

Michael Furlong United States

Maja Pučić‐Baković

562 ×0.3

733 ×0.7

IMMUN

601 ×0.7

RNMI

54 ×0.2

GENET

181 ×0.7

Citations per year, relative to Maja Pučić‐Baković Maja Pučić‐Baković (= 1×) peers Michael Furlong

Countries citing papers authored by Maja Pučić‐Baković

Since Specialization

Citations

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

Fields of papers citing papers by Maja Pučić‐Baković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Pučić‐Baković. 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 Maja Pučić‐Baković. The network helps show where Maja Pučić‐Baković may publish in the future.

Co-authorship network of co-authors of Maja Pučić‐Baković

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

All Works

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20 of 20 papers shown

Tzartos, John, Maja Pučić‐Baković, Gordan Lauc, et al.. (2025). Humoral correlates of clinical response to thymectomy in myasthenia gravis. Journal of Autoimmunity. 158. 103517–103517.

Stascheit, Frauke, Christian W. Keller, Maja Pučić‐Baković, et al.. (2024). Functional Signature of LRP4 Antibodies in Myasthenia Gravis. Neurology Neuroimmunology & Neuroinflammation. 11(3). e200220–e200220. 9 indexed citations

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

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

Pučić‐Baković, Maja, et al.. (2022). Heritability of the glycan clock of biological age. Frontiers in Cell and Developmental Biology. 10. 982609–982609. 6 indexed citations

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

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

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

Igonet, Sébastien, Erika Cecon, Maja Pučić‐Baković, et al.. (2018). Enabling STD-NMR fragment screening using stabilized native GPCR: A case study of adenosine receptor. Scientific Reports. 8(1). 45 indexed citations

10.

Vučković, Frano, Evropi Τheodoratou, Maria Timofeeva, et al.. (2016). IgG Glycome in Colorectal Cancer. Clinical Cancer Research. 22(12). 3078–3086. 109 indexed citations

11.

Pučić‐Baković, Maja. (2016). High-Throughput Analysis of the IgG N-Glycome by UPLC-FLR. Methods in molecular biology. 1503. 21–29. 6 indexed citations

12.

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

13.

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

14.

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

15.

Novokmet, Mislav, Maja Pučić‐Baković, Irma Redžić, Ana Mužinić, & Olga Gornik. (2012). Robustness testing of the high throughput HPLC-based analysis of plasma N-glycans. Biochimica et Biophysica Acta (BBA) - General Subjects. 1820(9). 1399–1404. 6 indexed citations

16.

Pučić‐Baković, Maja, Ana Mužinić, Mislav Novokmet, et al.. (2012). Changes in plasma and IgG N-glycome during childhood and adolescence. Glycobiology. 22(7). 975–982. 53 indexed citations

17.

Igl, Wilmar, Ozren Polašek, Olga Gornik, et al.. (2011). Glycomics meets lipidomics—associations of N -glycans with classical lipids, glycerophospholipids, and sphingolipids in three European populations. Molecular BioSystems. 7(6). 1852–1862. 16 indexed citations

18.

Pivac, Nela, Ana Knežević, Olga Gornik, et al.. (2010). Human Plasma Glycome in Attention-Deficit Hyperactivity Disorder and Autism Spectrum Disorders. Molecular & Cellular Proteomics. 10(1). M110.004200–M110.004200. 57 indexed citations

19.

Knežević, Ana, Olga Gornik, Ozren Polašek, et al.. (2010). Effects of aging, body mass index, plasma lipid profiles, and smoking on human plasma N-glycans. Glycobiology. 20(8). 959–969. 199 indexed citations

20.

Pučić‐Baković, Maja, Mislav Novokmet, Ana Knežević, et al.. (2010). Common aberrations from the normal human plasma N-glycan profile. Glycobiology. 20(8). 970–975. 40 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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