Rena Elkin
Impact in
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- Cerebrospinal fluid and hydrocephalus
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
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- Bioinformatics and Genomic Networks 6
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- Cerebrospinal fluid and hydrocephalus 6
- Co-authors
- Allen Tannenbaum (15 shared papers)Helene Benveniste (7 shared papers)Hedok Lee (6 shared papers)Maiken Nedergaard (3 shared papers)Sunil Koundal (4 shared papers)Joanna M. Wardlaw (3 shared papers)Saad Nadeem (4 shared papers)Yi Gao (1 shared paper)
- Journals
- Scientific Reports (4 papers)Briefings in Functional Genomics (1 paper)iScience (1 paper)Blood Cancer Journal (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSomalia
In The Last Decade
Rena Elkin
16 papers receiving 256 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 167
- Neurology 85
- Endocrine and Autonomic Systems 24
- Pediatrics, Perinatology and Child Health 54
- Neurology 21
Countries citing papers authored by Rena Elkin
This map shows the geographic impact of Rena Elkin'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 Rena Elkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rena Elkin more than expected).
Fields of papers citing papers by Rena Elkin
This network shows the impact of papers produced by Rena Elkin. 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 Rena Elkin. The network helps show where Rena Elkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Rena Elkin, 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 | 2020 | 91 | |
| 2 | 2017 | 57 | |
| 3 | 2020 | 27 | |
| 4 | 2021 | 19 | |
| 5 | 2023 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2020 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Rena Elkin
Rena Elkin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 258 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (6 papers), Bioinformatics and Genomic Networks (6 papers), Ferroptosis and cancer prognosis (4 papers), Fetal and Pediatric Neurological Disorders (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Computational Drug Discovery Methods (2 papers), Lattice Boltzmann Simulation Studies (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (167 citations), Neurology (85 citations), Endocrine and Autonomic Systems (24 citations), Pediatrics, Perinatology and Child Health (54 citations) and Neurology (21 citations). Rena Elkin has collaborated with scholars based in United States, United Kingdom and Somalia. Frequent co-authors include Allen Tannenbaum, Helene Benveniste, Hedok Lee, Maiken Nedergaard, Sunil Koundal, Joanna M. Wardlaw, Saad Nadeem, Yi Gao, Vadim Ratner and Simon Sanggaard. Their work appears in journals such as Scientific Reports, Briefings in Functional Genomics, iScience, Blood Cancer Journal and npj Genomic Medicine.
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.