Ena Španić

723 total citations · 1 hit paper
9 papers, 448 citations indexed

About

Ena Španić is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Ena Španić has authored 9 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Ena Španić's work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Ena Španić is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Ena Španić collaborates with scholars based in Croatia, United States and Spain. Ena Španić's co-authors include Goran Šimić, Patrick R. Hof, Damir Mulc, Vana Vukić, Mario Vukšić, Francisco E. Olucha‐Bordonau, Marina Šagud, Mladenka Tkalčić, Mirjana Babić Leko and Katarina Ilić and has published in prestigious journals such as The Journal of Comparative Neurology, International Journal of Molecular Sciences and Journal of Alzheimer s Disease.

In The Last Decade

Ena Španić

9 papers receiving 433 citations

Hit Papers

Understanding Emotions: Origins and Roles of the Amygdala 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ena Španić Croatia 8 103 93 70 66 56 9 448
Gregory Lieberman United States 9 146 1.4× 77 0.8× 35 0.5× 91 1.4× 53 0.9× 11 429
Maria Kharitonova Austria 14 182 1.8× 62 0.7× 70 1.0× 137 2.1× 90 1.6× 28 729
Aida Cuenca‐Royo Spain 14 120 1.2× 94 1.0× 37 0.5× 112 1.7× 92 1.6× 29 671
Juan Zhao China 10 69 0.7× 88 0.9× 54 0.8× 128 1.9× 37 0.7× 34 503
Mélissa Côté Canada 11 42 0.4× 58 0.6× 54 0.8× 126 1.9× 82 1.5× 27 646
Alessandro Viggiano Italy 13 73 0.7× 86 0.9× 34 0.5× 74 1.1× 88 1.6× 16 497
R Gomez United States 2 47 0.5× 73 0.8× 53 0.8× 129 2.0× 48 0.9× 8 622
Nicholas Chaaya Australia 7 101 1.0× 60 0.6× 43 0.6× 35 0.5× 81 1.4× 9 351
Adriano Targa Spain 16 176 1.7× 178 1.9× 58 0.8× 102 1.5× 124 2.2× 52 644
Giovana Bristot Brazil 13 52 0.5× 75 0.8× 54 0.8× 75 1.1× 84 1.5× 27 559

Countries citing papers authored by Ena Španić

Since Specialization
Citations

This map shows the geographic impact of Ena Španić'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 Ena Španić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ena Španić more than expected).

Fields of papers citing papers by Ena Španić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ena Španić. 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 Ena Španić. The network helps show where Ena Španić may publish in the future.

Co-authorship network of co-authors of Ena Španić

This figure shows the co-authorship network connecting the top 25 collaborators of Ena Španić. A scholar is included among the top collaborators of Ena Španić 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 Ena Španić. Ena Španić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Šimić, Goran, Željka Krsnik, M. Mathiasen, et al.. (2022). Prenatal development of the human entorhinal cortex. The Journal of Comparative Neurology. 530(15). 2711–2748. 7 indexed citations
2.
Leko, Mirjana Babić, Matea Nikolac Perković, Ena Španić, et al.. (2022). Serotonin Receptor Gene Polymorphisms Are Associated with Cerebrospinal Fluid, Genetic, and Neuropsychological Biomarkers of Alzheimer’s Disease. Biomedicines. 10(12). 3118–3118. 5 indexed citations
3.
Leko, Mirjana Babić, Jasna Jurasović, Matea Nikolac Perković, et al.. (2022). Heavy Metals and Essential Metals Are Associated with Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease. International Journal of Molecular Sciences. 24(1). 467–467. 37 indexed citations
4.
Šimić, Goran, Vana Vukić, Ena Španić, et al.. (2022). Total tau in cerebrospinal fluid detects treatment responders among spinal muscular atrophy types 1–3 patients treated with nusinersen. CNS Neuroscience & Therapeutics. 30(3). e14051–e14051. 13 indexed citations
6.
Šimić, Goran, Mladenka Tkalčić, Vana Vukić, et al.. (2021). Understanding Emotions: Origins and Roles of the Amygdala. Biomolecules. 11(6). 823–823. 255 indexed citations breakdown →
7.
Leko, Mirjana Babić, Jasna Jurasović, Matea Nikolac Perković, et al.. (2021). The Association of Essential Metals with APOE Genotype in Alzheimer’s Disease. Journal of Alzheimer s Disease. 82(2). 661–672. 18 indexed citations
8.
Šimić, Goran, et al.. (2019). Blood-brain barrier and innate immunity in the pathogenesis of Alzheimer's disease. Progress in molecular biology and translational science. 168. 99–145. 23 indexed citations
9.
Španić, Ena, et al.. (2019). Role of Microglial Cells in Alzheimer’s Disease Tau Propagation. Frontiers in Aging Neuroscience. 11. 271–271. 68 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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