Ivan Pavičić
Impact in
- Biophysics top 1%
- Electromagnetic Fields and Biological Effects
- Pollution top 5%
- Pesticide and Herbicide Environmental Studies
Papers in
-
- Nanoparticles: synthesis and applications 17
- Biophysics 18
- Electromagnetic Fields and Biological Effects 18
- Co-authors
- Ivana Vinković Vrček (25 shared papers)Ivančica Trošić (21 shared papers)Mirta Milić (21 shared papers)Ana Marija Marjanović Čermak (17 shared papers)Walter Goessler (5 shared papers)Davor Želježić (10 shared papers)Igor M. Pongrac (7 shared papers)Srečko Gajović (5 shared papers)
In The Last Decade
Ivan Pavičić
69 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Biophysics 203
- Pollution 236
- Health, Toxicology and Mutagenesis 258
- Developmental Neuroscience 42
- Materials Chemistry 508
Countries citing papers authored by Ivan Pavičić
This map shows the geographic impact of Ivan Pavičić'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 Pavičić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Pavičić more than expected).
Fields of papers citing papers by Ivan Pavičić
This network shows the impact of papers produced by Ivan Pavičić. 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 Pavičić. The network helps show where Ivan Pavičić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Pavičić, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2014 | 111 | |
| 3 | 2009 | 77 | |
| 4 | 2016 | 68 | |
| 5 | 2020 | 62 | |
| 6 | 2017 | 62 | |
| 7 | 2017 | 62 | |
| 8 | 2017 | 57 | |
| 9 | 2015 | 55 | |
| 10 | 2016 | 55 | |
| 11 | 2018 | 52 | |
| 12 | 2017 | 44 | |
| 13 | 2020 | 38 | |
| 14 | 2020 | 33 | |
| 15 | 2019 | 33 | |
| 16 | 2019 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2017 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2012 | 26 |
About Ivan Pavičić
Ivan Pavičić is a scholar working on Materials Chemistry, Biophysics, Plant Science, Pollution and Health, Toxicology and Mutagenesis, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (18 papers), Nanoparticles: synthesis and applications (17 papers), Pesticide Exposure and Toxicity (10 papers), Heavy Metal Exposure and Toxicity (7 papers), Insect and Pesticide Research (5 papers), Pesticide and Herbicide Environmental Studies (5 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Magnetic and Electromagnetic Effects (5 papers). The work is most often cited by research in Biophysics (203 citations), Pollution (236 citations), Health, Toxicology and Mutagenesis (258 citations), Developmental Neuroscience (42 citations) and Materials Chemistry (508 citations). Ivan Pavičić has collaborated with scholars based in Croatia, Austria and Czechia. Frequent co-authors include Ivana Vinković Vrček, Ivančica Trošić, Mirta Milić, Ana Marija Marjanović Čermak, Walter Goessler, Davor Želježić, Igor M. Pongrac, Srečko Gajović, Marija Ćurlin and Suzana Žunec. Their work appears in journals such as Food and Chemical Toxicology, Chemico-Biological Interactions, Journal of Trace Elements in Medicine and Biology, RSC Advances and Environmental Science and Pollution 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.