Ashwini K. Devkota

658 total citations
23 papers, 513 citations indexed

About

Ashwini K. Devkota is a scholar working on Molecular Biology, Organic Chemistry and Cancer Research. According to data from OpenAlex, Ashwini K. Devkota has authored 23 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Cancer Research. Recurrent topics in Ashwini K. Devkota's work include Cancer, Hypoxia, and Metabolism (5 papers), Click Chemistry and Applications (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Ashwini K. Devkota is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Click Chemistry and Applications (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Ashwini K. Devkota collaborates with scholars based in United States and China. Ashwini K. Devkota's co-authors include Kevin N. Dalby, Tamer S. Kaoud, Eun Jeong Cho, Yadhu N. Singh, Mangalika Warthaka, Olga Abramczyk, Clint D.J. Tavares, Bülent Özpolat, Ramakrishna Edupuganti and Pengyu Ren and has published in prestigious journals such as Biochemistry, Cancer Research and Archives of Biochemistry and Biophysics.

In The Last Decade

Ashwini K. Devkota

23 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashwini K. Devkota United States 14 361 88 69 47 43 23 513
Rosa Buonfiglio Italy 10 273 0.8× 128 1.5× 44 0.6× 34 0.7× 76 1.8× 12 422
Qichao Bao China 10 338 0.9× 47 0.5× 75 1.1× 50 1.1× 46 1.1× 20 441
Geoffrey W. Mellor United Kingdom 14 348 1.0× 86 1.0× 106 1.5× 103 2.2× 32 0.7× 27 525
Mingsong Shi China 14 261 0.7× 32 0.4× 131 1.9× 114 2.4× 30 0.7× 58 470
Haiwei Xu China 12 266 0.7× 42 0.5× 76 1.1× 127 2.7× 23 0.5× 27 518
Edward Pichinuk Israel 12 245 0.7× 29 0.3× 55 0.8× 52 1.1× 21 0.5× 22 422
Gareth Wayne United Kingdom 12 291 0.8× 59 0.7× 70 1.0× 93 2.0× 94 2.2× 13 605
Athena Sudom United States 16 344 1.0× 90 1.0× 210 3.0× 83 1.8× 56 1.3× 21 809
Mariano Cárdenas Argentina 8 402 1.1× 61 0.7× 98 1.4× 153 3.3× 31 0.7× 11 717
Madhu Sudhana Saddala United States 15 191 0.5× 39 0.4× 100 1.4× 62 1.3× 47 1.1× 42 515

Countries citing papers authored by Ashwini K. Devkota

Since Specialization
Citations

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

Fields of papers citing papers by Ashwini K. Devkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashwini K. Devkota. 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 Ashwini K. Devkota. The network helps show where Ashwini K. Devkota may publish in the future.

Co-authorship network of co-authors of Ashwini K. Devkota

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwini K. Devkota. A scholar is included among the top collaborators of Ashwini K. Devkota 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 Ashwini K. Devkota. Ashwini K. Devkota 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.
Cho, Eun Jeong, Ashwini K. Devkota, Marc A. Giulianotti, et al.. (2020). A Robust and Cost-Effective Luminescent-Based High-Throughput Assay for Fructose-1,6-Bisphosphate Aldolase A. SLAS DISCOVERY. 25(9). 1038–1046. 2 indexed citations
2.
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Devkota, Ashwini K., et al.. (2018). Development of a High-Throughput Lysyl Hydroxylase (LH) Assay and Identification of Small-Molecule Inhibitors against LH2. SLAS DISCOVERY. 24(4). 484–491. 21 indexed citations
4.
Devkota, Ashwini K., et al.. (2018). Development of a cost effective and robust AlphaScreen ® platform for HTS application. BioTechniques. 64(4). 181–183. 4 indexed citations
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Guo, Hou‐Fu, Eun Jeong Cho, Ashwini K. Devkota, et al.. (2017). A scalable lysyl hydroxylase 2 expression system and luciferase-based enzymatic activity assay. Archives of Biochemistry and Biophysics. 618. 45–51. 12 indexed citations
7.
Jose, Jiney, Clint D.J. Tavares, Nancy D. Ebelt, et al.. (2017). Serotonin Analogues as Inhibitors of Breast Cancer Cell Growth. ACS Medicinal Chemistry Letters. 8(10). 1072–1076. 23 indexed citations
8.
Grandjean, Geoffrey, Petrus R. de Jong, Brian P. James, et al.. (2016). Definition of a Novel Feed-Forward Mechanism for Glycolysis-HIF1α Signaling in Hypoxic Tumors Highlights Aldolase A as a Therapeutic Target. Cancer Research. 76(14). 4259–4269. 68 indexed citations
9.
Devkota, Ashwini K., et al.. (2016). Optimization of a Luminescence-Based High-Throughput Screening Assay for Detecting Apyrase Activity. SLAS DISCOVERY. 22(1). 94–101. 4 indexed citations
10.
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Tavares, Clint D.J., Ashwini K. Devkota, Kevin N. Dalby, & Eun Jeong Cho. (2015). Application of Eukaryotic Elongation Factor-2 Kinase (eEF-2K) for Cancer Therapy: Expression, Purification, and High-Throughput Inhibitor Screening. Methods in molecular biology. 1360. 19–33. 3 indexed citations
12.
Devkota, Ashwini K., Ramakrishna Edupuganti, Chunli Yan, et al.. (2014). Reversible Covalent Inhibition of eEF‐2K by Carbonitriles. ChemBioChem. 15(16). 2435–2442. 23 indexed citations
13.
Wang, Qiantao, Jihyun Park, Ashwini K. Devkota, et al.. (2014). Identification and Validation of Novel PERK Inhibitors. Journal of Chemical Information and Modeling. 54(5). 1467–1475. 12 indexed citations
14.
Devkota, Ashwini K., Mangalika Warthaka, Ramakrishna Edupuganti, et al.. (2013). High-Throughput Screens for eEF-2 Kinase. SLAS DISCOVERY. 19(3). 445–452. 22 indexed citations
15.
Kaoud, Tamer S., Chunli Yan, Shreya Mitra, et al.. (2012). From in Silico Discovery to Intracellular Activity: Targeting JNK–Protein Interactions with Small Molecules. ACS Medicinal Chemistry Letters. 3(9). 721–725. 20 indexed citations
16.
Abramczyk, Olga, Clint D.J. Tavares, Ashwini K. Devkota, et al.. (2011). Purification and characterization of tagless recombinant human elongation factor 2 kinase (eEF-2K) expressed in Escherichia coli. Protein Expression and Purification. 79(2). 237–244. 25 indexed citations
17.
Piserchio, Andrea, Mangalika Warthaka, Ashwini K. Devkota, et al.. (2011). Solution NMR Insights into Docking Interactions Involving Inactive ERK2. Biochemistry. 50(18). 3660–3672. 35 indexed citations
18.
Kaoud, Tamer S., Ashwini K. Devkota, Richard Harris, et al.. (2011). Activated ERK2 Is a Monomer in Vitro with or without Divalent Cations and When Complexed to the Cytoplasmic Scaffold PEA-15. Biochemistry. 50(21). 4568–4578. 32 indexed citations
19.
Devkota, Ashwini K., et al.. (2006). Hepatotoxicity potential of Saw Palmetto (Serenoa repens) in rats. Phytomedicine. 14(2-3). 204–208. 16 indexed citations
20.
Singh, Yadhu N. & Ashwini K. Devkota. (2003). Aqueous Kava Extracts do not Affect Liver Function Tests in Rats. Planta Medica. 69(6). 496–499. 45 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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