Ivan Mitov
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Microbiology top 1%
Papers in
-
- Antibiotic Resistance in Bacteria 38
- Catalysis 40
- Catalysis and Oxidation Reactions 33
- Co-authors
- Lyudmila Boyanova (65 shared papers)Daniela G. Paneva (66 shared papers)Tanya Strateva (28 shared papers)Galina Gergova (36 shared papers)Rumyana Donkova Markovska (52 shared papers)Tanya Tsoncheva (47 shared papers)Zara Cherkezova‐Zheleva (35 shared papers)Elina Manova (18 shared papers)
In The Last Decade
Ivan Mitov
304 papers receiving 6.8k citations
Ivan Mitov's Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Medicine 582
- Microbiology 84
- Catalysis 667
- Endocrinology 324
- Applied Microbiology and Biotechnology 113
Countries citing papers authored by Ivan Mitov
This map shows the geographic impact of Ivan Mitov'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 Mitov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Mitov more than expected).
Fields of papers citing papers by Ivan Mitov
This network shows the impact of papers produced by Ivan Mitov. 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 Mitov. The network helps show where Ivan Mitov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Mitov, 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 311 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hallmarks of mechanochemistry: from nanoparticles to technology Hit paper breakdown → | 2013 | 1115 |
| 2 | 2004 | 255 | |
| 3 | 2005 | 208 | |
| 4 | 2000 | 160 | |
| 5 | 2011 | 155 | |
| 6 | 2009 | 106 | |
| 7 | 2014 | 104 | |
| 8 | 2004 | 98 | |
| 9 | 2015 | 97 | |
| 10 | 2005 | 96 | |
| 11 | 2010 | 95 | |
| 12 | 2016 | 88 | |
| 13 | 2002 | 83 | |
| 14 | 2019 | 83 | |
| 15 | 2008 | 80 | |
| 16 | 2003 | 78 | |
| 17 | 2010 | 76 | |
| 18 | 2007 | 76 | |
| 19 | 2009 | 66 | |
| 20 | 1989 | 59 |
About Ivan Mitov
Ivan Mitov is a scholar working on Molecular Medicine, Catalysis, Renewable Energy, Sustainability and the Environment, Endocrinology and Materials Chemistry, having authored 311 papers that have together received 7.1k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (54 papers), Iron oxide chemistry and applications (50 papers), Magnetic Properties and Synthesis of Ferrites (41 papers), Antibiotic Resistance in Bacteria (38 papers), Helicobacter pylori-related gastroenterology studies (36 papers), Catalysis and Oxidation Reactions (33 papers), Mesoporous Materials and Catalysis (25 papers) and Bacterial biofilms and quorum sensing (23 papers). The work is most often cited by research in Molecular Medicine (582 citations), Microbiology (84 citations), Catalysis (667 citations), Endocrinology (324 citations) and Applied Microbiology and Biotechnology (113 citations). Ivan Mitov has collaborated with scholars based in Bulgaria, Germany and France. Frequent co-authors include Lyudmila Boyanova, Daniela G. Paneva, Tanya Strateva, Galina Gergova, Rumyana Donkova Markovska, Tanya Tsoncheva, Zara Cherkezova‐Zheleva, Elina Manova, B. Kunev and Rossen Kolarov. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Medical Microbiology, Scandinavian Journal of Infectious Diseases, Microporous and Mesoporous Materials and Applied Catalysis A General.
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.