Ivan Jurić

2.2k citations
27 papers · 1.0k · 1 hit paper · h-index 15

Impact in

Papers in

Ivan Jurić

25 papers receiving 1.0k citations

Hit Papers

The Strength of Selection against Neanderthal Introgression 2016 · 179 citations
1790+3+6Years since publication50100150

Peers

Ivan Jurić
Comparison fields: 5 of 102
  • Genetics 348
  • Ecology, Evolution, Behavior and Systematics 181
  • Molecular Biology 524
  • Biophysics 39
  • Ecological Modeling 28
Replace Scott L. Page with:
Scott L. Page United States
Kristiaan J. van der Gaag Netherlands
Celia A. May United Kingdom
Gonzalo Álvarez Spain
R. Scott United States
Gorka Alkorta‐Aranburu United States
Knut Finstermeier Germany
Luis Fernando García Uruguay
Karsten Neumann Germany
Matteo Accetturo Italy
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Citations per field
00.5×
Scott L. Page · 1×
Citations per year

Countries citing papers authored by Ivan Jurić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ivan Jurić Line = papers co-authored together Ivan Jurić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019222
2
The Strength of Selection against Neanderthal Introgression
Hit paper breakdown →
2016179
3 2021104
4 201275
5 201966
6 201864
7 201953
8 201352
9 201444
10 202430
11 201730
12 202127
13 202423
14
The Positive Effects of Running on Mental Health.
202018
15 201614
16
Resilience and Quality of Life of Patients with Breast Cancer.
202114
17 20237
18 20215
19 20244
20 20143

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 1.0k 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), Bladder and Urothelial Cancer Treatments (3 papers), Insect-Plant Interactions and Control (3 papers), Immune cells in cancer (3 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Genetics (348 citations), Ecology, Evolution, Behavior and Systematics (181 citations), Molecular Biology (524 citations), Biophysics (39 citations) and Ecological Modeling (28 citations). Ivan Jurić has collaborated with scholars based in United States, Croatia and Bosnia and Herzegovina. Frequent co-authors include Graham Coop, Simon Aeschbacher, Ming Hu, Armen Abnousi, Bing Ren, Miao Yu, Rong Hu, Hui Huang, Chenxu Zhu and M. Margarita Behrens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics, Bulletin of Entomological Research, Journal of Clinical Medicine and Oecologia.

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.

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