Ivan Alić

411 citations
21 papers · 154 · h-index 7

Impact in

Papers in

Ivan Alić

19 papers receiving 152 citations

Peers

Ivan Alić
Comparison fields: 5 of 61
  • Developmental Neuroscience 25
  • Genetics 20
  • Biophysics 11
  • Neurology 14
  • Equine 2
Replace Antonella Sferra with:
Antonella Sferra Italy
Adam R. Fenton United States
Emma Whiteley United Kingdom
Victoria‐Elisabeth Gruber Austria
Rosana-Bristena Ionescu United Kingdom
Morgan L. Shannon United States
Matthew S. Elitt United States
Jarosław Dulski Poland
Beatrice Weykopf Germany
Marianne Lehmann Argentina
Ivan Alić relative to Antonella Sferra Italy Antonella Sferra's profile →
Citations per field
00.5×2.8×
Antonella Sferra · 1×
Citations per year

Countries citing papers authored by Ivan Alić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Alić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Alić, 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 Alić Line = papers co-authored together Ivan Alić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201433
2 201630
3 202317
4 201915
5 201712
6 202010
7 20187
8 20185
9 20205
10 20174
11
Contribution to understanding Avar burials with equids in Croatia: detailed archaeozoological analysis.
20173
12
Description of head deformities in cultured common carp (Cyprinus carpio Linnaeus, 1758).
20153
13 20122
14 20242
15 20132
16 20251
17 20241
18 20241
19
Abnormalities of the m. sternohyoideus and m. stylohyoideus in a dog
20101
20 20240

About Ivan Alić

Ivan Alić is a scholar working on Molecular Biology, Developmental Neuroscience, Genetics, Cellular and Molecular Neuroscience and Urology, having authored 21 papers that have together received 154 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (4 papers), Comparative Animal Anatomy Studies (3 papers), Oropharyngeal Anatomy and Pathologies (2 papers), RNA Research and Splicing (2 papers), Nerve injury and regeneration (2 papers) and Down syndrome and intellectual disability research (2 papers). The work is most often cited by research in Developmental Neuroscience (25 citations), Genetics (20 citations), Biophysics (11 citations), Neurology (14 citations) and Equine (2 citations). Ivan Alić has collaborated with scholars based in Croatia, Singapore and United Kingdom. Frequent co-authors include Dinko Mitrečić, Roland Pochet, Srečko Gajović, Dean Nižetić, Aoife Murray, Pollyanna Goh, Katarina Kapuralin, Iva Salamon, Nataša Jovanov Milošević and Jürgen Groet. Their work appears in journals such as Brain Research, Progress in brain research, Oncogene, Oral Diseases and Alzheimer s & Dementia.

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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