Arjun Sapkota

643 total citations
17 papers, 520 citations indexed

About

Arjun Sapkota is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Arjun Sapkota has authored 17 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Neurology and 6 papers in Immunology. Recurrent topics in Arjun Sapkota's work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Sphingolipid Metabolism and Signaling (8 papers) and Inflammasome and immune disorders (3 papers). Arjun Sapkota is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Sphingolipid Metabolism and Signaling (8 papers) and Inflammasome and immune disorders (3 papers). Arjun Sapkota collaborates with scholars based in South Korea, Australia and Canada. Arjun Sapkota's co-authors include Ji Woong Choi, Bhakta Prasad Gaire, Chi‐Ho Lee, Se Jin Park, Se Jin Jeon, Jong Hoon Ryu, Hee‐Sook Jun, Eunjung Moon, Mi‐Ryoung Song and Jerold Chun and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Arjun Sapkota

17 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjun Sapkota South Korea 13 270 197 83 64 55 17 520
Jin A. Shin South Korea 16 258 1.0× 269 1.4× 60 0.7× 99 1.5× 34 0.6× 27 710
Haiyun Guo China 12 174 0.6× 180 0.9× 69 0.8× 65 1.0× 19 0.3× 21 500
Jingru Zhao China 13 271 1.0× 197 1.0× 68 0.8× 37 0.6× 27 0.5× 33 622
Ruo‐Bing Guo China 9 281 1.0× 263 1.3× 123 1.5× 95 1.5× 42 0.8× 10 661
Uta Rickert Germany 8 213 0.8× 160 0.8× 113 1.4× 59 0.9× 33 0.6× 9 553
Shanying Huang China 15 300 1.1× 103 0.5× 124 1.5× 49 0.8× 81 1.5× 30 610
Shengfeng Ji China 14 185 0.7× 215 1.1× 87 1.0× 181 2.8× 25 0.5× 20 572
Hoonsung Choi South Korea 8 386 1.4× 130 0.7× 80 1.0× 144 2.3× 55 1.0× 14 599
Zuohui Zhang China 13 358 1.3× 232 1.2× 96 1.2× 123 1.9× 15 0.3× 35 747
Rengong Zhuo China 15 209 0.8× 142 0.7× 82 1.0× 98 1.5× 23 0.4× 29 496

Countries citing papers authored by Arjun Sapkota

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Sapkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Sapkota

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

All Works

17 of 17 papers shown
1.
Cho, Hyun-kyung, Arjun Sapkota, Chaemin Lim, et al.. (2025). Blocking S1P4 signaling attenuates brain injury in mice with ischemic stroke. Journal of Advanced Research. 78. 681–702. 1 indexed citations
2.
Kim, So-Yeon, Arjun Sapkota, Seung‐Hyuk Choi, et al.. (2023). The Anti-Atopic Dermatitis Effects of Mentha arvensis Essential Oil Are Involved in the Inhibition of the NLRP3 Inflammasome in DNCB-Challenged Atopic Dermatitis BALB/c Mice. International Journal of Molecular Sciences. 24(9). 7720–7720. 15 indexed citations
3.
Sapkota, Arjun, Sung Jean Park, & Ji Woong Choi. (2021). Receptor for Advanced Glycation End Products Is Involved in LPA5-Mediated Brain Damage after a Transient Ischemic Stroke. Life. 11(2). 80–80. 6 indexed citations
4.
Sapkota, Arjun & Ji Woong Choi. (2021). Oleanolic Acid Provides Neuroprotection against Ischemic Stroke through the Inhibition of Microglial Activation and NLRP3 Inflammasome Activation. Biomolecules & Therapeutics. 30(1). 55–63. 24 indexed citations
5.
Sapkota, Arjun, Yik Lung Chan, Sonia Saad, et al.. (2020). Nitroxides affect neurological deficits and lesion size induced by a rat model of traumatic brain injury. Nitric Oxide. 97. 57–65. 8 indexed citations
6.
Gaire, Bhakta Prasad, Chi‐Ho Lee, Wondong Kim, et al.. (2020). Lysophosphatidic Acid Receptor 5 Contributes to Imiquimod-Induced Psoriasis-Like Lesions through NLRP3 Inflammasome Activation in Macrophages. Cells. 9(8). 1753–1753. 32 indexed citations
7.
Lee, Chi‐Ho, Arjun Sapkota, Bhakta Prasad Gaire, & Ji Woong Choi. (2020). NLRP3 Inflammasome Activation Is Involved in LPA1-Mediated Brain Injury after Transient Focal Cerebral Ischemia. International Journal of Molecular Sciences. 21(22). 8595–8595. 19 indexed citations
8.
Sapkota, Arjun, Chi‐Ho Lee, Se Jin Park, & Ji Woong Choi. (2020). Lysophosphatidic Acid Receptor 5 Plays a Pathogenic Role in Brain Damage after Focal Cerebral Ischemia by Modulating Neuroinflammatory Responses. Cells. 9(6). 1446–1446. 22 indexed citations
9.
Gaire, Bhakta Prasad, Arjun Sapkota, & Ji Woong Choi. (2020). BMS-986020, a Specific LPA1 Antagonist, Provides Neuroprotection against Ischemic Stroke in Mice. Antioxidants. 9(11). 1097–1097. 16 indexed citations
10.
Sapkota, Arjun, Sung Jean Park, & Ji Woong Choi. (2020). Inhibition of LPA5 Activity Provides Long-Term Neuroprotection in Mice with Brain Ischemic Stroke. Biomolecules & Therapeutics. 28(6). 512–518. 5 indexed citations
11.
Sapkota, Arjun, et al.. (2019). S1P2 contributes to microglial activation and M1 polarization following cerebral ischemia through ERK1/2 and JNK. Scientific Reports. 9(1). 12106–12106. 61 indexed citations
12.
Gaire, Bhakta Prasad, Arjun Sapkota, Mi‐Ryoung Song, & Ji Woong Choi. (2019). Lysophosphatidic acid receptor 1 (LPA1) plays critical roles in microglial activation and brain damage after transient focal cerebral ischemia. Journal of Neuroinflammation. 16(1). 170–170. 40 indexed citations
13.
Chen, Hui, Yik Lung Chan, Ayad G. Anwer, et al.. (2018). L-Carnitine and extendin-4 improve outcomes following moderate brain contusion injury. Scientific Reports. 8(1). 11201–11201. 16 indexed citations
14.
Sapkota, Arjun, Se Jin Park, & Ji Woong Choi. (2018). Neuroprotective Effects of 6-Shogaol and Its Metabolite, 6-Paradol, in a Mouse Model of Multiple Sclerosis. Biomolecules & Therapeutics. 27(2). 152–159. 41 indexed citations
15.
Sapkota, Arjun, Bhakta Prasad Gaire, Se Jin Jeon, et al.. (2017). Eupatilin exerts neuroprotective effects in mice with transient focal cerebral ischemia by reducing microglial activation. PLoS ONE. 12(2). e0171479–e0171479. 62 indexed citations
16.
Gaire, Bhakta Prasad, Chi‐Ho Lee, Arjun Sapkota, et al.. (2017). Identification of Sphingosine 1-Phosphate Receptor Subtype 1 (S1P1) as a Pathogenic Factor in Transient Focal Cerebral Ischemia. Molecular Neurobiology. 55(3). 2320–2332. 60 indexed citations
17.
Lee, Chi‐Ho, Se Jin Jeon, Eunjung Moon, et al.. (2017). Activation of Glucagon-Like Peptide-1 Receptor Promotes Neuroprotection in Experimental Autoimmune Encephalomyelitis by Reducing Neuroinflammatory Responses. Molecular Neurobiology. 55(4). 3007–3020. 92 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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