Ivan Jurić

2.2k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Ivan Jurić is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Surgery. According to data from OpenAlex, Ivan Jurić has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Surgery. Recurrent topics in Ivan Jurić's work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers) and Plant and animal studies (5 papers). Ivan Jurić is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (6 papers) and Plant and animal studies (5 papers). Ivan Jurić collaborates with scholars based in United States, Bosnia and Herzegovina and Croatia. Ivan Jurić's co-authors include Graham Coop, Simon Aeschbacher, Ming Hu, Armen Abnousi, Bing Ren, Rong Hu, Hui Huang, Miao Yu, Chenxu Zhu and Jacinta Lucero and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Ivan Jurić

25 papers receiving 1.0k citations

Hit Papers

The Strength of Selection against Neanderthal Introgression 2016 2026 2019 2022 2016 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Jurić United States 15 524 348 181 150 71 27 1.0k
Matteo Accetturo Italy 11 287 0.5× 263 0.8× 90 0.5× 34 0.2× 71 1.0× 18 892
Sophie Pantalacci France 16 940 1.8× 277 0.8× 83 0.5× 108 0.7× 40 0.6× 26 1.7k
L. Susan Pletscher United States 26 440 0.8× 1.2k 3.5× 149 0.8× 175 1.2× 37 0.5× 42 1.8k
Alastair Crisp United Kingdom 16 496 0.9× 127 0.4× 165 0.9× 108 0.7× 31 0.4× 28 1.1k
Ondřej Podlaha United States 16 447 0.9× 270 0.8× 108 0.6× 119 0.8× 105 1.5× 28 976
Celia A. May United Kingdom 17 839 1.6× 656 1.9× 174 1.0× 327 2.2× 106 1.5× 30 1.4k
R. Scott United States 5 621 1.2× 86 0.2× 57 0.3× 116 0.8× 41 0.6× 7 1.6k
Michael Lang France 15 513 1.0× 296 0.9× 142 0.8× 96 0.6× 69 1.0× 31 1.0k
Gorka Alkorta‐Aranburu United States 17 416 0.8× 785 2.3× 61 0.3× 40 0.3× 100 1.4× 30 1.3k
A. Picornell Spain 19 312 0.6× 687 2.0× 123 0.7× 65 0.4× 13 0.2× 84 1.3k

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-authorship network of co-authors of Ivan Jurić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Jurić. A scholar is included among the top collaborators of Ivan Jurić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Jurić. Ivan Jurić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jurić, Ivan, Salendra Singh, Patricia Rayman, et al.. (2025). Responses to checkpoint inhibition in metastatic triple negative breast cancer driven by divergent myeloid phenotypes. Communications Medicine. 5(1). 180–180.
2.
Jurić, Ivan, Emily E. Fink, Arvind Ravi, et al.. (2025). Single-cell RNA-sequencing of BCG naïve and recurrent non-muscle invasive bladder cancer reveals a CD6/ALCAM-mediated immune-suppressive pathway. npj Precision Oncology. 9(1). 318–318.
3.
Ta, Hieu Minh, Keman Zhang, Tyler Alban, et al.. (2024). LRIG1 engages ligand VISTA and impairs tumor-specific CD8 + T cell responses. Science Immunology. 9(95). eadi7418–eadi7418. 23 indexed citations
4.
Catta-Preta, Rinaldo, Susan Lindtner, Athéna R. Ypsilanti, et al.. (2024). Combinatorial transcription factor binding encodes cis-regulatory wiring of mouse forebrain GABAergic neurogenesis. Developmental Cell. 60(2). 288–304.e6. 4 indexed citations
5.
Zhang, Keman, Amin Zakeri, Tyler Alban, et al.. (2024). VISTA promotes the metabolism and differentiation of myeloid-derived suppressor cells by STAT3 and polyamine-dependent mechanisms. Cell Reports. 43(1). 113661–113661. 30 indexed citations
6.
Jurić, Ivan, et al.. (2023). Benign urinary bladder masses: rare entities. African Journal of Urology. 29(1). 2 indexed citations
7.
Zhang, Keman, Amin Zakeri, Tyler Alban, et al.. (2023). 935 VISTA regulates the differentiation of myeloid-derived suppressor cells by STAT3-dependent modulation of arginase-1 and iNOS expression and mitochondrial function. SHILAP Revista de lepidopterología. A1039–A1039. 1 indexed citations
8.
Jurić, Ivan, et al.. (2023). The Impact of the Initial Clinical Presentation of Bladder Cancer on Histopathological and Morphological Tumor Characteristics. Journal of Clinical Medicine. 12(13). 4259–4259. 7 indexed citations
9.
Huang, Hui, Quan Zhu, Yuanyuan Han, et al.. (2021). CTCF mediates dosage- and sequence-context-dependent transcriptional insulation by forming local chromatin domains. Nature Genetics. 53(7). 1064–1074. 104 indexed citations
10.
Ypsilanti, Athéna R., Kartik Pattabiraman, Rinaldo Catta-Preta, et al.. (2021). Transcriptional network orchestrating regional patterning of cortical progenitors. Proceedings of the National Academy of Sciences. 118(51). 27 indexed citations
11.
Yu, Miao, Ivan Jurić, Armen Abnousi, Ming Hu, & Bing Ren. (2021). Proximity Ligation-Assisted ChIP-Seq (PLAC-Seq). Methods in molecular biology. 2351. 181–199. 5 indexed citations
12.
Jurić, Ivan, Miao Yu, Armen Abnousi, et al.. (2019). MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments. PLoS Computational Biology. 15(4). e1006982–e1006982. 66 indexed citations
13.
Zhu, Chenxu, Miao Yu, Hui Huang, et al.. (2019). An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome. Nature Structural & Molecular Biology. 26(11). 1063–1070. 222 indexed citations
14.
Yamada, Tomoko, Yue Yang, Pamela Valnegri, et al.. (2019). Sensory experience remodels genome architecture in neural circuit to drive motor learning. Nature. 569(7758). 708–713. 53 indexed citations
15.
Kapur, Eldan, et al.. (2019). Giant infrapatellar ganglion cyst of Hoffa's fat pad. European Journal of Radiology Open. 6. 275–280. 2 indexed citations
16.
Chen, Nancy, Ivan Jurić, Elissa J. Cosgrove, et al.. (2018). Allele frequency dynamics in a pedigreed natural population. Proceedings of the National Academy of Sciences. 116(6). 2158–2164. 64 indexed citations
17.
Jurić, Ivan, Emir Fazlibegović, Danijel Pravdić, et al.. (2018). The Significance of Thallium-201-Chloride SPECT Myocardial Perfusion Imaging in the Management of Patients With Stable Chronic Coronary Artery Disease. Clinical Medicine Insights Cardiology. 12. 2770420898–2770420898. 1 indexed citations
19.
Jurić, Ivan, Simon Aeschbacher, & Graham Coop. (2016). The Strength of Selection against Neanderthal Introgression. PLoS Genetics. 12(11). e1006340–e1006340. 179 indexed citations breakdown →
20.
Stuble, Katharine L., et al.. (2012). Tradeoffs, competition, and coexistence in eastern deciduous forest ant communities. Oecologia. 171(4). 981–992. 75 indexed citations

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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