Lalitha R. Belur
- Genetics top 5%
- Virus-based gene therapy research 16
- Neurogenetic and Muscular Disorders Research 6
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 9
- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 3
- Physiology top 10%
- Lysosomal Storage Disorders Research 13
- Genetics top 10%
- Virus-based gene therapy research 16
- Neurogenetic and Muscular Disorders Research 6
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- Nerve injury and regeneration 4
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- Trypanosoma species research and implications 7
- Co-authors
- R. Scott McIvorKelly M. Podetz-PedersenPerry B. HackettMaureen RiedlLucy VulchanovaJason BellElena L. AronovichKelley F. Kitto
- Cited by
- GeneticsMolecular BiologyPhysiology
- Journals
- Human Gene Therapy (4 papers)Molecular Therapy (4 papers)Molecular Genetics and Metabolism (4 papers)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Lalitha R. Belur
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Genetics 485
- Molecular Biology 715
- Physiology 245
- Genetics 95
- Cellular and Molecular Neuroscience 133
Countries citing papers authored by Lalitha R. Belur
This map shows the geographic impact of Lalitha R. Belur'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 Lalitha R. Belur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lalitha R. Belur more than expected).
Fields of papers citing papers by Lalitha R. Belur
This network shows the impact of papers produced by Lalitha R. Belur. 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 Lalitha R. Belur. The network helps show where Lalitha R. Belur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lalitha R. Belur, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 33 | |
| 9 | 2020 | 17 | |
| 10 | 2017 | 56 | |
| 11 | 2014 | 19 | |
| 12 | 2013 | 19 | |
| 13 | 2012 | 16 | |
| 14 | 2011 | 33 | |
| 15 | 2009 | 29 | |
| 16 | 2008 | 8 | |
| 17 | 2008 | 14 | |
| 18 | 2007 | 84 | |
| 19 | 2007 | 106 | |
| 20 | 2005 | 9 |
About Lalitha R. Belur
Lalitha R. Belur is a scholar working on Genetics, Genetics and Physiology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Lysosomal Storage Disorders Research (13 papers), RNA Interference and Gene Delivery (9 papers), CRISPR and Genetic Engineering (7 papers), Trypanosoma species research and implications (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Nerve injury and regeneration (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Genetics (485 citations), Molecular Biology (715 citations) and Physiology (245 citations). Lalitha R. Belur has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include R. Scott McIvor, Kelly M. Podetz-Pedersen, Perry B. Hackett, Maureen Riedl, Lucy Vulchanova, Jason Bell, Elena L. Aronovich, Kelley F. Kitto, Carolyn A. Fairbanks and Daniel J. Schuster. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, Molecular Genetics and Metabolism, Frontiers in Neuroanatomy and Molecular Therapy — Methods & Clinical Development.
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.