Ivan Matić
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
- Escherichia coli research studies
Papers in
-
- DNA Repair Mechanisms 36
- CRISPR and Genetic Engineering 18
- RNA and protein synthesis mechanisms 8
- Genetics 62
- Evolution and Genetic Dynamics 40
- Bacterial Genetics and Biotechnology 37
- Co-authors
- Miroslav Radman (30 shared papers)François Taddéi (24 shared papers)Olivier Tenaillon (11 shared papers)Érick Denamur (14 shared papers)Erick Denamur (1 shared paper)Jesús Blázquez (6 shared papers)C Rayssiguier (2 shared papers)Antoine Giraud (3 shared papers)
- Journals
- Trends in Microbiology (11 papers)Journal of Bacteriology (8 papers)Genetics (6 papers)Science (5 papers)Nucleic Acids Research (4 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Ivan Matić
96 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 152
- Molecular Medicine 1.0k
- Endocrinology 650
- Genetics 2.7k
- Aging 129
- Molecular Biology 3.3k
Countries citing papers authored by Ivan Matić
This map shows the geographic impact of Ivan Matić'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 Ivan Matić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Matić more than expected).
Fields of papers citing papers by Ivan Matić
This network shows the impact of papers produced by Ivan Matić. 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 Ivan Matić. The network helps show where Ivan Matić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Matić, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 443 | |
| 2 | 2001 | 381 | |
| 3 | 2013 | 309 | |
| 4 | 2006 | 276 | |
| 5 | 1997 | 244 | |
| 6 | 1995 | 239 | |
| 7 | 2004 | 217 | |
| 8 | 2000 | 192 | |
| 9 | 1995 | 153 | |
| 10 | 2002 | 142 | |
| 11 | 2002 | 140 | |
| 12 | 1996 | 119 | |
| 13 | 2008 | 108 | |
| 14 | 2007 | 106 | |
| 15 | 2004 | 105 | |
| 16 | 2018 | 101 | |
| 17 | 2001 | 101 | |
| 18 | 2018 | 100 | |
| 19 | 2010 | 93 | |
| 20 | 2018 | 85 |
About Ivan Matić
Ivan Matić is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Ecology and Endocrinology, having authored 98 papers that have together received 5.8k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (40 papers), Bacterial Genetics and Biotechnology (37 papers), DNA Repair Mechanisms (36 papers), CRISPR and Genetic Engineering (18 papers), Antibiotic Resistance in Bacteria (14 papers), Genetic factors in colorectal cancer (9 papers), Escherichia coli research studies (8 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Endocrinology (650 citations), Genetics (2.7k citations), Aging (129 citations) and Molecular Biology (3.3k citations). Ivan Matić has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Miroslav Radman, François Taddéi, Olivier Tenaillon, Érick Denamur, Erick Denamur, Jesús Blázquez, C Rayssiguier, Antoine Giraud, Claude Saint‐Ruf and Marina Elez. Their work appears in journals such as Trends in Microbiology, Journal of Bacteriology, Genetics, Science and Nucleic Acids Research.
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.