Avi Fellner
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological disorders and treatments
- Neurological diseases and metabolism
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- Glioma Diagnosis and Treatment
Papers in
-
- RNA regulation and disease 5
- RNA Research and Splicing 2
- Genetics 7
- Genomics and Rare Diseases 5
- Genetics and Neurodevelopmental Disorders 3
- Co-authors
- Kishore R. Kumar (6 shared papers)Fangzhi Jia (1 shared paper)Israel Steiner (4 shared papers)Shlomit Yust‐Katz (1 shared paper)Felix Bokstein (1 shared paper)Michal Lotem (1 shared paper)Tali Siegal (1 shared paper)Suzana Fichman (1 shared paper)
- Journals
- Journal of the Neurological Sciences (2 papers)Scientific Reports (1 paper)Genetics in Medicine (1 paper)International Journal of Molecular Sciences (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Avi Fellner
20 papers receiving 322 citations
Peers
Comparison fields: 5 of 62
- Neurology 135
- Neurology 50
- Genetics 47
- Oncology 87
- Cellular and Molecular Neuroscience 51
Countries citing papers authored by Avi Fellner
This map shows the geographic impact of Avi Fellner'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 Avi Fellner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Fellner more than expected).
Fields of papers citing papers by Avi Fellner
This network shows the impact of papers produced by Avi Fellner. 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 Avi Fellner. The network helps show where Avi Fellner may publish in the future.
Co-authors
The 25 scholars most cited alongside Avi Fellner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2022 | 95 | |
| 3 | 2017 | 43 | |
| 4 | 2014 | 17 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 1 |
About Avi Fellner
Avi Fellner is a scholar working on Molecular Biology, Genetics, Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 20 papers that have together received 326 indexed citations. Recurring topics across this work include RNA regulation and disease (5 papers), Genomics and Rare Diseases (5 papers), Neurological diseases and metabolism (4 papers), Genetic Neurodegenerative Diseases (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Neurology (135 citations), Neurology (50 citations), Genetics (47 citations), Oncology (87 citations) and Cellular and Molecular Neuroscience (51 citations). Avi Fellner has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Kishore R. Kumar, Fangzhi Jia, Israel Steiner, Shlomit Yust‐Katz, Felix Bokstein, Michal Lotem, Tali Siegal, Suzana Fichman, Shai Rosenberg and Deborah T. Blumenthal. Their work appears in journals such as Journal of the Neurological Sciences, Scientific Reports, Genetics in Medicine, International Journal of Molecular Sciences and Journal of Neuro-Oncology.
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.