Darshan Sapkota

910 total citations
19 papers, 546 citations indexed

About

Darshan Sapkota is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Darshan Sapkota has authored 19 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Infectious Diseases. Recurrent topics in Darshan Sapkota's work include Retinal Development and Disorders (7 papers), Retinal Diseases and Treatments (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Darshan Sapkota is often cited by papers focused on Retinal Development and Disorders (7 papers), Retinal Diseases and Treatments (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). Darshan Sapkota collaborates with scholars based in United States, Nepal and France. Darshan Sapkota's co-authors include Xiuqian Mu, Fuguo Wu, Zihua Hu, Hare Krishna Tiwari, Steven J. Fliesler, Ayan Kumar Das, Renzhong Li, Joseph D. Dougherty, Allison M. Lake and Shipeng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Darshan Sapkota

17 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darshan Sapkota United States 12 407 122 93 62 59 19 546
Asparouh I. Iliev Germany 15 232 0.6× 83 0.7× 40 0.4× 37 0.6× 13 0.2× 27 697
Vincent T. Ciavatta United States 14 340 0.8× 148 1.2× 22 0.2× 19 0.3× 15 0.3× 28 529
Yu-Chin Su Taiwan 12 560 1.4× 122 1.0× 78 0.8× 72 1.2× 108 1.8× 15 950
Mackenzie M. Shipley United States 9 249 0.6× 102 0.8× 56 0.6× 36 0.6× 9 0.2× 14 612
Anupama Srinivasan United States 8 492 1.2× 60 0.5× 146 1.6× 102 1.6× 21 0.4× 10 915
Laura Lee United States 13 399 1.0× 48 0.4× 29 0.3× 34 0.5× 13 0.2× 21 567
Elisa Teyssou France 13 272 0.7× 74 0.6× 166 1.8× 80 1.3× 10 0.2× 24 763
Laura Huopaniemi Finland 9 169 0.4× 38 0.3× 17 0.2× 27 0.4× 23 0.4× 14 359
Álvaro Viedma-Poyatos Spain 9 254 0.6× 24 0.2× 17 0.2× 117 1.9× 16 0.3× 12 447
Maryline Santerre United States 13 171 0.4× 58 0.5× 73 0.8× 53 0.9× 9 0.2× 19 422

Countries citing papers authored by Darshan Sapkota

Since Specialization
Citations

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

Fields of papers citing papers by Darshan Sapkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darshan Sapkota

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

All Works

19 of 19 papers shown
1.
Sheehan, Patrick W., Darshan Sapkota, Ashish Sharma, et al.. (2025). A glial circadian gene expression atlas reveals cell-type and disease-specific reprogramming in response to amyloid pathology or aging. Nature Neuroscience. 28(11). 2366–2379.
2.
Graham, Robert, Jessica R. Tooley, M. Ständer, et al.. (2024). Parvalbumin expression does not account for discrete electrophysiological profiles of glutamatergic ventral pallidal subpopulations. SHILAP Revista de lepidopterología. 12. 100170–100170.
3.
Ge, Xia, John A. Engelbach, Annie R. Bice, et al.. (2023). Evaluation of gliovascular functions of AQP4 readthrough isoforms. Frontiers in Cellular Neuroscience. 17. 1272391–1272391. 13 indexed citations
4.
Sapkota, Darshan, Kristina Sakers, Yating Liu, et al.. (2022). Activity-dependent translation dynamically alters the proteome of the perisynaptic astrocyte process. Cell Reports. 41(3). 111474–111474. 22 indexed citations
5.
Sapkota, Darshan, Colin P. Florian, Xia Ge, et al.. (2022). Aqp4 stop codon readthrough facilitates amyloid-β clearance from the brain. Brain. 145(9). 2982–2990. 37 indexed citations
6.
Wu, Fuguo, Jonathan Bard, Donald Yergeau, et al.. (2021). Single cell transcriptomics reveals lineage trajectory of retinal ganglion cells in wild-type and Atoh7-null retinas. Nature Communications. 12(1). 1465–1465. 47 indexed citations
7.
Sapkota, Darshan & Joseph D. Dougherty. (2020). An inducible Cre mouse line to sparsely target nervous system cells, including Remak Schwann cells. Neural Development. 15(1). 2–2. 4 indexed citations
8.
Sapkota, Darshan, Allison M. Lake, Wei Yang, et al.. (2019). Cell-Type-Specific Profiling of Alternative Translation Identifies Regulated Protein Isoform Variation in the Mouse Brain. Cell Reports. 26(3). 594–607.e7. 54 indexed citations
9.
Dalal, Jasbir, Chengran Yang, Darshan Sapkota, et al.. (2017). Quantitative Nucleotide Level Analysis of Regulation of Translation in Response to Depolarization of Cultured Neural Cells. Frontiers in Molecular Neuroscience. 10. 9–9. 8 indexed citations
10.
Mu, Xiuqian & Darshan Sapkota. (2015). Onecut transcription factors in retinal development and maintenance. SHILAP Revista de lepidopterología. 10(6). 899–899. 5 indexed citations
11.
Li, Renzhong, Fuguo Wu, Raili Ruonala, et al.. (2014). Isl1 and Pou4f2 Form a Complex to Regulate Target Genes in Developing Retinal Ganglion Cells. PLoS ONE. 9(3). e92105–e92105. 31 indexed citations
12.
Sapkota, Darshan, et al.. (2014). Onecut1 and Onecut2 redundantly regulate early retinal cell fates during development. Proceedings of the National Academy of Sciences. 111(39). E4086–95. 99 indexed citations
13.
Wu, Fuguo, Yumiko Umino, Darshan Sapkota, et al.. (2013). Onecut1 Is Essential for Horizontal Cell Genesis and Retinal Integrity. Journal of Neuroscience. 33(32). 13053–13065. 56 indexed citations
14.
Sapkota, Darshan, Fuguo Wu, & Xiuqian Mu. (2011). Focus on Molecules: Math5 and retinal ganglion cells. Experimental Eye Research. 93(6). 796–797. 9 indexed citations
15.
Wu, Fuguo, Darshan Sapkota, Renzhong Li, & Xiuqian Mu. (2011). Onecut 1 and Onecut 2 are potential regulators of mouse retinal development. The Journal of Comparative Neurology. 520(5). 952–969. 50 indexed citations
16.
Tiwari, Hare Krishna, et al.. (2009). Methicillin Resistant Staphylococcus aureus: Prevalence And Antibiogram In A Tertiary Care Hospital in Western Nepal. The Journal of Infection in Developing Countries. 3(9). 681–684. 79 indexed citations
17.
Tiwari, Hare Krishna, Darshan Sapkota, Ayan Kumar Das, & Malay Ranjan Sen. (2009). Assessment of different tests to detect methicillin resistant Staphylococcus aureus.. PubMed. 40(4). 801–6. 11 indexed citations
18.
Tiwari, Hare Krishna, et al.. (2008). Evaluation of different tests for detection of Staphylococcus aureus using coagulase (coa) gene PCR as the gold standard.. PubMed. 10(2). 129–31. 13 indexed citations
19.
Tiwari, Hare Krishna, et al.. (2008). Molecular typing of clinical Staphylococcus aureus isolates from northern India using coagulase gene PCR-RFLP.. PubMed. 39(3). 467–73. 8 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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