Predrag Čudić
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Microbiology 19
- Antimicrobial Peptides and Activities 19
-
- Antibiotic Resistance in Bacteria 4
- Co-authors
- Nina BiondaMaciej StawikowskiRyan G. KrugerDewey G. McCaffertyDouglas C. BehennaMladen ŽinićLászló ÖtvösJohn D. Wade
- Journals
- Amino Acids (4 papers)ChemMedChem (3 papers)Tetrahedron Letters (3 papers)Tetrahedron (2 papers)Advances in experimental medicine and biology (2 papers)
- Partner nations
- United StatesCroatiaAustralia
In The Last Decade
Predrag Čudić
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Microbiology 350
- Molecular Medicine 67
- Pharmacology 185
- Organic Chemistry 298
- Molecular Biology 691
Countries citing papers authored by Predrag Čudić
This map shows the geographic impact of Predrag 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 Predrag Čudić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predrag Čudić more than expected).
Fields of papers citing papers by Predrag Čudić
This network shows the impact of papers produced by Predrag 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 Predrag Čudić. The network helps show where Predrag Čudić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Predrag 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2021 | 8 | |
| 3 | 2019 | 7 | |
| 4 | 2017 | 8 | |
| 5 | 2015 | 17 | |
| 6 | 2014 | 13 | |
| 7 | 2013 | 22 | |
| 8 | 2013 | 17 | |
| 9 | 2013 | 17 | |
| 10 | 2013 | 1 | |
| 11 | 2013 | 5 | |
| 12 | 2012 | 55 | |
| 13 | 2009 | 7 | |
| 14 | 2009 | 1 | |
| 15 | 2006 | 29 | |
| 16 | 2002 | 58 | |
| 17 | 2002 | 95 | |
| 18 | 2002 | 47 | |
| 19 | Synthesis of Cyclo-bis-intercaland Receptor Molecules with Phenanthridinium Units | 1996 | 7 |
| 20 | 1995 | 54 |
About Predrag Čudić
Predrag Čudić is a scholar working on Microbiology, Molecular Medicine, Organic Chemistry, Molecular Biology and Endocrine and Autonomic Systems, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (19 papers), Chemical Synthesis and Analysis (17 papers), Carbohydrate Chemistry and Synthesis (9 papers), Biochemical and Structural Characterization (9 papers), Microbial Natural Products and Biosynthesis (6 papers), Glycosylation and Glycoproteins Research (5 papers), Antibiotic Resistance in Bacteria (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Microbiology (350 citations), Molecular Medicine (67 citations), Pharmacology (185 citations), Organic Chemistry (298 citations) and Molecular Biology (691 citations). Predrag Čudić has collaborated with scholars based in United States, Croatia and Australia. Frequent co-authors include Nina Bionda, Maciej Stawikowski, Ryan G. Kruger, Dewey G. McCafferty, Douglas C. Behenna, Mladen Žinić, László Ötvös, John D. Wade, Michael Yu and Barbara Susanne Palm. Their work appears in journals such as Amino Acids, ChemMedChem, Tetrahedron Letters, Tetrahedron and Advances in experimental medicine and biology.
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.