Danira Bažadona

1.1k citations
10 papers · 779 indexed · 1 hit paper · h-index 5

Danira Bažadona

10 papers receiving 767 citations

Hit Papers

Tau Protein Hyperphosphorylation and Aggregation in Alzhe...5172016202620192022100200300400500

Peers

Danira Bažadona
Comparison fields: 5 of 89
  • Biological Psychiatry 71
  • Neurology 144
  • Physiology 444
  • Pharmacology 186
  • Cellular and Molecular Neuroscience 154
Replace Keenan Sterling with:
Keenan Sterling China
Hans J. Moebius United States
Antonio Di Meco United States
Dmitry S. Petrov Spain
Anna Mietelska‐Porowska Poland
Patrizia Giannoni France
Ignacio Pedrós Spain
Valentina Latina Italy
Oriol Busquets Spain
Danira Bažadona relative to Keenan Sterling China Keenan Sterling's profile →
Citations per field
00.5×4.4×
Keenan Sterling · 1×
Citations per year

Countries citing papers authored by Danira Bažadona

Since Specialization
Citations

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

Fields of papers citing papers by Danira Bažadona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20241
2 20244
3 20231
4 20234
5 20232
6 202212
7 20197
8 20184
9
Tau Protein Hyperphosphorylation and Aggregation in Alzheimer’s Disease and Other Tauopathies, and Possible Neuroprotective Strategiesbreakdown →
2016517
10 2016227

About Danira Bažadona

Danira Bažadona is a scholar working on Rehabilitation, Psychiatry and Mental health and Neurology, having authored 10 papers that have together received 779 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Stroke Rehabilitation and Recovery (2 papers), Alzheimer's disease research and treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Biological Psychiatry (71 citations), Neurology (144 citations) and Physiology (444 citations). Danira Bažadona has collaborated with scholars based in Croatia, United States and United Kingdom. Frequent co-authors include Goran Šimić, Patrick R. Hof, Mirjana Babić Leko, Charles R. Harrington, Luc Buée, Selina Wray, Nataša Jovanov Milošević, Claude M. Wischik, Rohan de Silva and Giuseppe Di Giovanni. Their work appears in journals such as Progress in Neurobiology, Archives of Physical Medicine and Rehabilitation and Journal of Neuroscience Methods.

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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