Mare Čudić
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Immunology top 5%
- Immunotherapy and Immune Responses
Papers in
-
- Glycosylation and Glycoproteins Research 31
- Chemical Synthesis and Analysis 10
- Biochemical and Structural Characterization 9
- Immunology 24
- Galectins and Cancer Biology 13
- Co-authors
- László Ötvös (12 shared papers)Gregg B. Fields (14 shared papers)Dmitriy Minond (10 shared papers)László Ötvös (6 shared papers)Philippe Bulet (5 shared papers)Walter Gerhard (2 shared papers)Krystyna Mozdzanowska (2 shared papers)Goran Kragol (2 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Biochemistry (4 papers)Analytical Biochemistry (3 papers)European Journal of Biochemistry (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Mare Čudić
70 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Microbiology 385
- Immunology 622
- Molecular Biology 1.2k
- Immunology and Allergy 105
- Cancer Research 221
Countries citing papers authored by Mare Čudić
This map shows the geographic impact of Mare Čudić'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 Mare Čudić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mare Čudić more than expected).
Fields of papers citing papers by Mare Čudić
This network shows the impact of papers produced by Mare Čudić. 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 Mare Čudić. The network helps show where Mare Čudić may publish in the future.
Co-authors
The 25 scholars most cited alongside Mare Čudić, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 174 | |
| 2 | 2016 | 160 | |
| 3 | 2002 | 132 | |
| 4 | 2002 | 112 | |
| 5 | 2002 | 94 | |
| 6 | 2001 | 91 | |
| 7 | 2020 | 89 | |
| 8 | 2006 | 80 | |
| 9 | 2009 | 64 | |
| 10 | 2007 | 58 | |
| 11 | 2007 | 56 | |
| 12 | 2012 | 55 | |
| 13 | 2003 | 50 | |
| 14 | 1999 | 49 | |
| 15 | 2012 | 48 | |
| 16 | 2004 | 47 | |
| 17 | 2007 | 42 | |
| 18 | 2013 | 35 | |
| 19 | 2004 | 35 | |
| 20 | 2009 | 34 |
About Mare Čudić
Mare Čudić is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Microbiology, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (31 papers), Carbohydrate Chemistry and Synthesis (19 papers), Antimicrobial Peptides and Activities (14 papers), Galectins and Cancer Biology (13 papers), Peptidase Inhibition and Analysis (12 papers), Chemical Synthesis and Analysis (10 papers), Biochemical and Structural Characterization (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Microbiology (385 citations), Immunology (622 citations), Molecular Biology (1.2k citations), Immunology and Allergy (105 citations) and Cancer Research (221 citations). Mare Čudić has collaborated with scholars based in United States, Germany and France. Frequent co-authors include László Ötvös, Gregg B. Fields, Dmitriy Minond, László Ötvös, Philippe Bulet, Walter Gerhard, Krystyna Mozdzanowska, Goran Kragol, Janelle L. Lauer‐Fields and Ralf Hoffmann. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Analytical Biochemistry, European Journal of Biochemistry and Scientific Reports.
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.