Irena Ćosić
- Molecular Biology
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Dean CvetkovićQiang FangElif Derya ÜbeylïElena PirogovaMilton T. W. HearnDobrila NešićSeedahmed S. MahmoudTaghrid Istivan
- Topics
- Fractal and DNA sequence analysis (23 papers)EEG and Brain-Computer Interfaces (18 papers)Machine Learning in Bioinformatics (14 papers)
- Partner nations
- AustraliaUnited StatesTürkiye
In The Last Decade
Irena Ćosić
96 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 566
- Cognitive Neuroscience 267
- Biomedical Engineering 251
- Physiology 224
- Cardiology and Cardiovascular Medicine 202
Countries citing papers authored by Irena Ćosić
This map shows the geographic impact of Irena Ćosić'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 Irena Ćosić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irena Ćosić more than expected).
Fields of papers citing papers by Irena Ćosić
This network shows the impact of papers produced by Irena Ćosić. 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 Irena Ćosić. The network helps show where Irena Ćosić may publish in the future.
Co-authorship network of co-authors of Irena Ćosić
This figure shows the co-authorship network connecting the top 25 collaborators of Irena Ćosić. A scholar is included among the top collaborators of Irena Ćosić 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 Irena Ćosić. Irena Ćosić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Application of the resonant recognition model to the study of plasmodium proteins involved in malaria infection | 3 |
| 5 | Cellular ageing - telomere, telomerase and progerin analysed using resonant recognition model | 2 |
| 6 | Retroviral proteases viewed through the resonant recognition model | 1 |
| 7 | Balancing insulin stability and activity - rational approach | 1 |
| 8 | 39 | |
| 9 | Effects of Caffeine on Cognitive Tasks | 1 |
| 10 | 15 | |
| 11 | Frequency dependence of macromolecular activation | 1 |
| 12 | 4 | |
| 13 | 24 | |
| 14 | Human electrophysiological signal responses to ELF Schumann Resonance and artificial electromagnetic fields | 7 |
| 15 | Design and implementation of an intelligent agent system for genome data retrieval | 1 |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 56 | |
| 19 | 29 | |
| 20 | A novel method of protein analysis for prediction of biological function: application to tumor toxins. | 26 |
About Irena Ćosić
Irena Ćosić is a scholar working on Biophysics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 104 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fractal and DNA sequence analysis (23 papers), EEG and Brain-Computer Interfaces (18 papers) and Machine Learning in Bioinformatics (14 papers). The work is most often cited by research in Biophysics (137 citations), Cognitive Neuroscience (267 citations) and Cellular and Molecular Neuroscience (191 citations). Irena Ćosić has collaborated with scholars based in Australia, United States and Türkiye. Frequent co-authors include Dean Cvetković, Qiang Fang, Elif Derya Übeylï, Elena Pirogova, Milton T. W. Hearn, Dobrila Nešić, Seedahmed S. Mahmoud, Taghrid Istivan, Ivan Lončarević and Fahim Sufi. Their work appears in journals such as Nature Biotechnology, PLoS ONE and Biochemical and Biophysical Research Communications.
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.