Ivan Matić
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Genetics top 0.5%
- Evolution and Genetic Dynamics
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 68
- Bacterial Genetics and Biotechnology 38
- Evolution and Genetic Dynamics 33
-
- Escherichia coli research studies 10
- Co-authors
- Miroslav Radman (32 shared papers)François Taddéi (28 shared papers)Érick Denamur (17 shared papers)Olivier Tenaillon (12 shared papers)Jesús Blázquez (6 shared papers)Christiane Rayssiguier (2 shared papers)Antoine Giraud (3 shared papers)Claude Saint‐Ruf (8 shared papers)
- Journals
- Trends in Microbiology (11 papers)Journal of Bacteriology (8 papers)Genetics (6 papers)Science (6 papers)Nucleic Acids Research (5 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Ivan Matić
99 papers receiving 7.2k citations
Ivan Matić's Hit Papers
Peers
Comparison fields: 5 of 130
- Endocrinology 770
- Genetics 3.3k
- Molecular Medicine 714
- Aging 86
- Applied Microbiology and Biotechnology 100
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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Organised Genome Dynamics in the Escherichia coli Species Results in Highly Diverse Adaptive Paths Hit paper breakdown → | 2009 | 928 |
| 2 | 2003 | 470 | |
| 3 | 2001 | 397 | |
| 4 | 2013 | 322 | |
| 5 | 1997 | 308 | |
| 6 | 2006 | 301 | |
| 7 | 1995 | 260 | |
| 8 | 1997 | 253 | |
| 9 | 2004 | 222 | |
| 10 | 2000 | 201 | |
| 11 | 1995 | 162 | |
| 12 | 2002 | 151 | |
| 13 | 2002 | 148 | |
| 14 | 1996 | 125 | |
| 15 | 2008 | 118 | |
| 16 | 2007 | 115 | |
| 17 | 2004 | 112 | |
| 18 | 2018 | 107 | |
| 19 | 2018 | 106 | |
| 20 | 2010 | 102 |
About Ivan Matić
Ivan Matić is a scholar working on Genetics, Endocrinology, Molecular Biology, Aging and Molecular Medicine, having authored 102 papers that have together received 7.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (38 papers), Evolution and Genetic Dynamics (33 papers), DNA Repair Mechanisms (26 papers), Escherichia coli research studies (10 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Phylogenetic Studies (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (770 citations), Genetics (3.3k citations), Molecular Medicine (714 citations), Aging (86 citations) and Applied Microbiology and Biotechnology (100 citations). Ivan Matić has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Miroslav Radman, François Taddéi, Érick Denamur, Olivier Tenaillon, Jesús Blázquez, Christiane Rayssiguier, Antoine Giraud, Claude Saint‐Ruf, Marina Elez and Arnaud Gutierrez. 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.