Ivan Jurić
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Insect and Arachnid Ecology and Behavior
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- Plant and animal studies
- Animal Behavior and Reproduction
Papers in
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- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 6
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- Plant and animal studies 5
- Co-authors
- Graham Coop (2 shared papers)Simon Aeschbacher (1 shared paper)Ming Hu (6 shared papers)Bing Ren (4 shared papers)Armen Abnousi (6 shared papers)Hui Huang (2 shared papers)Miao Yu (2 shared papers)Rong Hu (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)BioControl (1 paper)Biological Control (1 paper)npj Precision Oncology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesBosnia and HerzegovinaCroatia
In The Last Decade
Ivan Jurić
26 papers receiving 1.1k citations
Ivan Jurić's Hit Papers
Peers
Comparison fields: 5 of 99
- Genetics 352
- Ecology, Evolution, Behavior and Systematics 182
- Molecular Biology 547
- Ecological Modeling 30
- Biophysics 39
Countries citing papers authored by Ivan Jurić
This map shows the geographic impact of Ivan Jurić'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 Jurić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Jurić more than expected).
Fields of papers citing papers by Ivan Jurić
This network shows the impact of papers produced by Ivan Jurić. 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 Jurić. The network helps show where Ivan Jurić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Jurić, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 235 | |
| 2 | The Strength of Selection against Neanderthal Introgression Hit paper breakdown → | 2016 | 183 |
| 3 | 2021 | 111 | |
| 4 | 2012 | 76 | |
| 5 | 2019 | 67 | |
| 6 | 2018 | 67 | |
| 7 | 2019 | 59 | |
| 8 | 2013 | 57 | |
| 9 | 2014 | 48 | |
| 10 | 2024 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2021 | 29 | |
| 13 | 2024 | 27 | |
| 14 | The Positive Effects of Running on Mental Health. | 2020 | 20 |
| 15 | 2016 | 16 | |
| 16 | Resilience and Quality of Life of Patients with Breast Cancer. | 2021 | 15 |
| 17 | 2023 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2019 | 4 |
About Ivan Jurić
Ivan Jurić is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Surgery, Genetics and Immunology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers), Plant and animal studies (5 papers), Immune cells in cancer (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Insect-Plant Interactions and Control (3 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Genetics (352 citations), Ecology, Evolution, Behavior and Systematics (182 citations), Molecular Biology (547 citations), Ecological Modeling (30 citations) and Biophysics (39 citations). Ivan Jurić has collaborated with scholars based in United States, Bosnia and Herzegovina and Croatia. Frequent co-authors include Graham Coop, Simon Aeschbacher, Ming Hu, Bing Ren, Armen Abnousi, Hui Huang, Miao Yu, Rong Hu, Jacinta Lucero and M. Margarita Behrens. Their work appears in journals such as Proceedings of the National Academy of Sciences, BioControl, Biological Control, npj Precision Oncology and PLoS Computational 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.