Aneeza Kim
Impact in
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- Genetic Neurodegenerative Diseases
- Hereditary Neurological Disorders
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Epigenetics and DNA Methylation 2
- Kruppel-like factors research 2
- DNA Repair Mechanisms 1
- Muscle Physiology and Disorders 1
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- Genetic Neurodegenerative Diseases 3
- Nuclear Receptors and Signaling 2
- Co-authors
- Eric E. Swayze (8 shared papers)Hien Zhao (4 shared papers)Holly Kordasiewicz (4 shared papers)Gene Hung (5 shared papers)Andreas Weihofen (3 shared papers)Andrew B. West (3 shared papers)Laura A. Volpicelli‐Daley (3 shared papers)Vedad Delic (3 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (3 papers)Blood (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Hepatology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Aneeza Kim
10 papers receiving 538 citations
Peers
Comparison fields: 5 of 52
- Cellular and Molecular Neuroscience 254
- Neurology 173
- Genetics 68
- Neurology 53
- Molecular Biology 306
Countries citing papers authored by Aneeza Kim
This map shows the geographic impact of Aneeza Kim'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 Aneeza Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aneeza Kim more than expected).
Fields of papers citing papers by Aneeza Kim
This network shows the impact of papers produced by Aneeza Kim. 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 Aneeza Kim. The network helps show where Aneeza Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Aneeza Kim, 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 | 2017 | 159 | |
| 2 | 2017 | 121 | |
| 3 | 2015 | 96 | |
| 4 | 2017 | 57 | |
| 5 | 2018 | 56 | |
| 6 | 2015 | 43 | |
| 7 | 2013 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 2 | |
| 10 | 2014 | 1 |
About Aneeza Kim
Aneeza Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 544 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Kruppel-like factors research (2 papers), Nuclear Receptors and Signaling (2 papers), DNA Repair Mechanisms (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (254 citations), Neurology (173 citations), Genetics (68 citations), Neurology (53 citations) and Molecular Biology (306 citations). Aneeza Kim has collaborated with scholars based in United States and Canada. Frequent co-authors include Eric E. Swayze, Hien Zhao, Holly Kordasiewicz, Gene Hung, Andreas Weihofen, Andrew B. West, Laura A. Volpicelli‐Daley, Vedad Delic, C. Frank Bennett and Apoorva Mohan. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Blood, Journal of Pharmacology and Experimental Therapeutics, Journal of Hepatology and Science Translational 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.