Farzaneh Rahmani
- Molecular Biology
- Neurology top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Neurology top 5%
- Co-authors
- Nima RezaeiMahsa DolatshahiMohammad Hadi AarabiMaryam RahmaniHossein Sanjari MoghaddamMahsa EskianSoheil MohammadiSoheila Sobhani
- Topics
- Advanced Neuroimaging Techniques and Applications (18 papers)Functional Brain Connectivity Studies (13 papers)Parkinson's Disease Mechanisms and Treatments (9 papers)
- Cited by
- Biological PsychiatryNeurology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IranUnited StatesGermany
In The Last Decade
Farzaneh Rahmani
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 261
- Neurology 258
- Physiology 244
- Cognitive Neuroscience 215
- Neurology 156
Countries citing papers authored by Farzaneh Rahmani
This map shows the geographic impact of Farzaneh Rahmani'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 Farzaneh Rahmani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farzaneh Rahmani more than expected).
Fields of papers citing papers by Farzaneh Rahmani
This network shows the impact of papers produced by Farzaneh Rahmani. 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 Farzaneh Rahmani. The network helps show where Farzaneh Rahmani may publish in the future.
Co-authorship network of co-authors of Farzaneh Rahmani
This figure shows the co-authorship network connecting the top 25 collaborators of Farzaneh Rahmani. A scholar is included among the top collaborators of Farzaneh Rahmani 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 Farzaneh Rahmani. Farzaneh Rahmani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 22 | |
| 9 | 8 | |
| 10 | 76 | |
| 11 | Universal Scientific Education and Research Network (USERN): Step Strong in Scientific Networking | 0 |
| 12 | 28 | |
| 13 | 9 | |
| 14 | 159 | |
| 15 | 13 | |
| 16 | 19 | |
| 17 | 7 | |
| 18 | 16 | |
| 19 | 37 | |
| 20 | 27 |
About Farzaneh Rahmani
Farzaneh Rahmani is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (18 papers), Functional Brain Connectivity Studies (13 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Neurology (156 citations) and Neurology (258 citations). Farzaneh Rahmani has collaborated with scholars based in Iran, United States and Germany. Frequent co-authors include Nima Rezaei, Mahsa Dolatshahi, Mohammad Hadi Aarabi, Maryam Rahmani, Hossein Sanjari Moghaddam, Mahsa Eskian, Soheil Mohammadi, Soheila Sobhani, Ameneh Zare-Shahabadi and Zahra Soltani. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.