Sajag Bhattarai

728 total citations
24 papers, 547 citations indexed

About

Sajag Bhattarai is a scholar working on Molecular Biology, Genetics and Ophthalmology. According to data from OpenAlex, Sajag Bhattarai has authored 24 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Ophthalmology. Recurrent topics in Sajag Bhattarai's work include Retinal Development and Disorders (16 papers), Genetic and Kidney Cyst Diseases (10 papers) and Retinal Diseases and Treatments (5 papers). Sajag Bhattarai is often cited by papers focused on Retinal Development and Disorders (16 papers), Genetic and Kidney Cyst Diseases (10 papers) and Retinal Diseases and Treatments (5 papers). Sajag Bhattarai collaborates with scholars based in United States, Canada and France. Sajag Bhattarai's co-authors include Arlene V. Drack, Val C. Sheffield, Seongjin Seo, Edwin M. Stone, Robert F. Mullins, Alina V. Dumitrescu, Poppy Datta, Charles Searby, Chantal Allamargot and Joseph S. Hudson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sajag Bhattarai

22 papers receiving 544 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sajag Bhattarai United States 11 461 225 118 100 77 24 547
Avigail Beryozkin Israel 13 512 1.1× 158 0.7× 64 0.5× 90 0.9× 224 2.9× 21 569
Sophie Devery United Kingdom 10 296 0.6× 111 0.5× 95 0.8× 36 0.4× 160 2.1× 17 418
Susan W. Gorman United States 7 596 1.3× 232 1.0× 120 1.0× 78 0.8× 147 1.9× 8 713
Karen E. Roth United States 9 405 0.9× 157 0.7× 69 0.6× 95 0.9× 126 1.6× 12 531
Suddhasil Mookherjee India 13 517 1.1× 143 0.6× 81 0.7× 53 0.5× 366 4.8× 18 719
Manling Ma-Edmonds United States 5 386 0.8× 140 0.6× 64 0.5× 70 0.7× 44 0.6× 6 524
Avril Kennan Ireland 11 542 1.2× 66 0.3× 137 1.2× 102 1.0× 189 2.5× 16 612
Shinichiro Takezawa Japan 7 452 1.0× 94 0.4× 131 1.1× 30 0.3× 137 1.8× 8 545
Esther Pomares Spain 14 413 0.9× 89 0.4× 61 0.5× 70 0.7× 176 2.3× 30 489
Sharola Dharmaraj United States 11 647 1.4× 233 1.0× 93 0.8× 74 0.7× 472 6.1× 15 791

Countries citing papers authored by Sajag Bhattarai

Since Specialization
Citations

This map shows the geographic impact of Sajag Bhattarai'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 Sajag Bhattarai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajag Bhattarai more than expected).

Fields of papers citing papers by Sajag Bhattarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajag Bhattarai. 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 Sajag Bhattarai. The network helps show where Sajag Bhattarai may publish in the future.

Co-authorship network of co-authors of Sajag Bhattarai

This figure shows the co-authorship network connecting the top 25 collaborators of Sajag Bhattarai. A scholar is included among the top collaborators of Sajag Bhattarai 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 Sajag Bhattarai. Sajag Bhattarai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Bhattarai, Sajag, et al.. (2024). Investigating the role of Caspase-1 in a mouse model of Juvenile X-linked Retinoschisis. Frontiers in Medicine. 11. 1347599–1347599.
3.
Wang, Kai, Poppy Datta, Charles Searby, et al.. (2022). Progressive retinal degeneration of rods and cones in a Bardet-Biedl syndrome type 10 mouse model. Disease Models & Mechanisms. 15(9). 8 indexed citations
4.
Scruggs, Brittni A., et al.. (2022). AAV2/4-RS1 gene therapy in the retinoschisin knockout mouse model of X-linked retinoschisis. PLoS ONE. 17(12). e0276298–e0276298. 9 indexed citations
5.
Bhattarai, Sajag, et al.. (2022). Electroretinogram abnormalities in FKRP-related limb–girdle muscular dystrophy (LGMDR9). Documenta Ophthalmologica. 146(1). 7–16. 1 indexed citations
6.
Hsu, Ying, Sajag Bhattarai, Angela Mahoney, et al.. (2022). Subretinal gene therapy delays vision loss in a Bardet-Biedl Syndrome type 10 mouse model. Molecular Therapy — Nucleic Acids. 31. 164–181. 13 indexed citations
7.
Jiang, Jingwei, John J. Reho, Sajag Bhattarai, et al.. (2021). Endothelial BBSome is essential for vascular, metabolic, and retinal functions. Molecular Metabolism. 53. 101308–101308. 10 indexed citations
8.
Dumitrescu, Alina V., Wanda Pfeifer, Sajag Bhattarai, et al.. (2021). Clinical albinism score, presence of nystagmus and optic nerves defects are correlated with visual outcome in patients with oculocutaneous albinism. Ophthalmic Genetics. 42(5). 539–552. 5 indexed citations
9.
Wang, Kai, et al.. (2021). Correlation between electroretinography, foveal anatomy and visual acuity in aniridia due to PAX6 mutations. Documenta Ophthalmologica. 143(3). 283–295. 5 indexed citations
10.
Drack, Arlene V., Sajag Bhattarai, Poppy Datta, et al.. (2020). Retinal degeneration in BBS10 mice is ameliorated by subretinal gene replacement. Investigative Ophthalmology & Visual Science. 61(7). 1914–1914. 1 indexed citations
11.
Hu, Zhaohui, Kai Wang, Taylor Kehoe, et al.. (2019). Correlation between electroretinography, foveal anatomy and visual acuity in albinism. Documenta Ophthalmologica. 139(1). 21–32. 11 indexed citations
12.
Johnson, Tyler B., Katherine A. White, Arlene V. Drack, et al.. (2019). Characterization of a novel porcine model of CLN3-Batten disease. Molecular Genetics and Metabolism. 126(2). S81–S81. 9 indexed citations
13.
Kerov, Vasily, Joseph G. Laird, Mei-ling A. Joiner, et al.. (2018). α 2 δ-4 Is Required for the Molecular and Structural Organization of Rod and Cone Photoreceptor Synapses. Journal of Neuroscience. 38(27). 6145–6160. 52 indexed citations
14.
Datta, Poppy, Chantal Allamargot, Joseph S. Hudson, et al.. (2015). Accumulation of non-outer segment proteins in the outer segment underlies photoreceptor degeneration in Bardet–Biedl syndrome. Proceedings of the National Academy of Sciences. 112(32). E4400–9. 107 indexed citations
15.
Drack, Arlene V., Sajag Bhattarai, Seongjin Seo, et al.. (2014). Overcoming the overexpression toxicity of gene replacement therapy for Bardet Biedl Syndrome type 1. Investigative Ophthalmology & Visual Science. 55(13). 4378–4378. 2 indexed citations
16.
Stasheff, Steven F., Sajag Bhattarai, Stewart Thompson, et al.. (2014). Distinct profiles of abnormal ganglion cell activity in two forms of Leber’s congenital amaurosis (LCA): Implications for therapy. Investigative Ophthalmology & Visual Science. 55(13). 357–357. 1 indexed citations
17.
Bhattarai, Sajag, et al.. (2014). RNA Interference-Based Therapy for Spinocerebellar Ataxia Type 7 Retinal Degeneration. PLoS ONE. 9(4). e95362–e95362. 30 indexed citations
18.
Pan, Yuan, et al.. (2014). TRIP8b Is Required for Maximal Expression of HCN1 in the Mouse Retina. PLoS ONE. 9(1). e85850–e85850. 10 indexed citations
19.
Bhattarai, Sajag, et al.. (2014). Vitritis in Pediatric Genetic Retinal Disorders. Ophthalmology. 122(1). 192–199. 10 indexed citations
20.
Zhang, Yan, Seongjin Seo, Sajag Bhattarai, et al.. (2013). BBS mutations modify phenotypic expression of CEP290-related ciliopathies. Human Molecular Genetics. 23(1). 40–51. 107 indexed citations

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.

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