Marija Pezer
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Glycosylation and Glycoproteins Research 21
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- Monoclonal and Polyclonal Antibodies Research 21
- Co-authors
- Gordan Lauc (22 shared papers)Ivan Gudelj (2 shared papers)Harry Campbell (2 shared papers)Igor Rudan (1 shared paper)Jasminka Krištić (8 shared papers)Peter A. Nigrović (3 shared papers)Wendy M. Kohrt (3 shared papers)Frano Vučković (7 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - General Subjects (2 papers)Frontiers in Immunology (2 papers)Scientific Reports (2 papers)Electrophoresis (1 paper)iScience (1 paper)
- Partner nations
- United StatesCroatiaGermany
In The Last Decade
Marija Pezer
28 papers receiving 866 citations
Peers
Comparison fields: 5 of 87
- Immunology 367
- Radiology, Nuclear Medicine and Imaging 338
- Molecular Biology 626
- Aging 7
- Hematology 36
Countries citing papers authored by Marija Pezer
This map shows the geographic impact of Marija Pezer'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 Marija Pezer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marija Pezer more than expected).
Fields of papers citing papers by Marija Pezer
This network shows the impact of papers produced by Marija Pezer. 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 Marija Pezer. The network helps show where Marija Pezer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marija Pezer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 299 | |
| 2 | 2015 | 149 | |
| 3 | 2017 | 106 | |
| 4 | 2018 | 52 | |
| 5 | 2021 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2018 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 6 |
About Marija Pezer
Marija Pezer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Genetics and Pharmacology, having authored 28 papers that have together received 879 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Galectins and Cancer Biology (11 papers), T-cell and B-cell Immunology (7 papers), Diabetes and associated disorders (3 papers), Bee Products Chemical Analysis (2 papers), Insect and Pesticide Research (2 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Immunology (367 citations), Radiology, Nuclear Medicine and Imaging (338 citations), Molecular Biology (626 citations), Aging (7 citations) and Hematology (36 citations). Marija Pezer has collaborated with scholars based in United States, Croatia and Germany. Frequent co-authors include Gordan Lauc, Ivan Gudelj, Harry Campbell, Igor Rudan, Jasminka Krištić, Peter A. Nigrović, Wendy M. Kohrt, Frano Vučković, Olga O. Zaytseva and Altan Ercan. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Frontiers in Immunology, Scientific Reports, Electrophoresis and iScience.
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.