Aarti Bashyal

538 total citations
9 papers, 388 citations indexed

About

Aarti Bashyal is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Aarti Bashyal has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Spectroscopy and 2 papers in Cancer Research. Recurrent topics in Aarti Bashyal's work include Mass Spectrometry Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Analytical Chemistry and Chromatography (2 papers). Aarti Bashyal is often cited by papers focused on Mass Spectrometry Techniques and Applications (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Analytical Chemistry and Chromatography (2 papers). Aarti Bashyal collaborates with scholars based in United States. Aarti Bashyal's co-authors include Arunoday Bhan, Subhrangsu S. Mandal, Sahba Kasiri, Khairul I. Ansari, Imran Hussain, Jennifer S. Brodbelt, Daniel R. Boutz, Jae Jin Kim, Fade Gong and Blerta Xhemalçe and has published in prestigious journals such as Genes & Development, Journal of Molecular Biology and Analytical Chemistry.

In The Last Decade

Aarti Bashyal

9 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aarti Bashyal United States 7 333 184 45 40 21 9 388
Anuli C. Uzozie Canada 8 230 0.7× 81 0.4× 94 2.1× 74 1.9× 15 0.7× 15 344
Zubaidah M. Ramdzan Canada 11 298 0.9× 76 0.4× 23 0.5× 52 1.3× 28 1.3× 16 395
Joanna L. Gillis Australia 8 286 0.9× 195 1.1× 14 0.3× 48 1.2× 29 1.4× 9 397
Robin Beekhof Netherlands 8 168 0.5× 78 0.4× 58 1.3× 58 1.4× 16 0.8× 9 241
Prakriti Mudvari United States 10 349 1.0× 143 0.8× 8 0.2× 90 2.3× 27 1.3× 19 456
Marco Tognetti United States 6 290 0.9× 37 0.2× 69 1.5× 54 1.4× 13 0.6× 10 341
Pamela Celis Denmark 7 193 0.6× 54 0.3× 129 2.9× 39 1.0× 53 2.5× 11 317
Giulia Franciosa Denmark 11 252 0.8× 37 0.2× 87 1.9× 82 2.0× 44 2.1× 18 341
Shane Colborne Canada 8 252 0.8× 60 0.3× 43 1.0× 64 1.6× 16 0.8× 10 342
Elena Martínez-García Spain 9 178 0.5× 137 0.7× 28 0.6× 48 1.2× 28 1.3× 11 316

Countries citing papers authored by Aarti Bashyal

Since Specialization
Citations

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

Fields of papers citing papers by Aarti Bashyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aarti Bashyal

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

All Works

9 of 9 papers shown
2.
Bashyal, Aarti, et al.. (2023). Characterization of Unbranched Ubiquitin Tetramers by Combining Ultraviolet Photodissociation with Proton Transfer Charge Reduction Reactions. Analytical Chemistry. 95(37). 14001–14008. 1 indexed citations
3.
Bashyal, Aarti, John O. Hui, Tawnya G. Flick, et al.. (2023). Differentiation of Aspartic and Isoaspartic Acid Using 193 nm Ultraviolet Photodissociation Mass Spectrometry. Analytical Chemistry. 95(30). 11510–11517. 7 indexed citations
4.
Bashyal, Aarti & Jennifer S. Brodbelt. (2022). Uncommon posttranslational modifications in proteomics: ADP‐ribosylation, tyrosine nitration, and tyrosine sulfation. Mass Spectrometry Reviews. 43(2). 289–326. 9 indexed citations
5.
Macias, Luis A., et al.. (2021). Influence of Primary Structure on Fragmentation of Native-Like Proteins by Ultraviolet Photodissociation. Journal of the American Society for Mass Spectrometry. 32(12). 2860–2873. 15 indexed citations
6.
Kim, Jae Jin, Seo Yun Lee, Fade Gong, et al.. (2019). Systematic bromodomain protein screens identify homologous recombination and R-loop suppression pathways involved in genome integrity. Genes & Development. 33(23-24). 1751–1774. 100 indexed citations
7.
Boscia, Joseph, et al.. (2019). Ubiquitin receptors are required for substrate-mediated activation of the proteasome’s unfolding ability. Scientific Reports. 9(1). 14506–14506. 22 indexed citations
8.
Bashyal, Aarti, James D. Sanders, Dustin D. Holden, & Jennifer S. Brodbelt. (2019). Top-Down Analysis of Proteins in Low Charge States. Journal of the American Society for Mass Spectrometry. 30(4). 704–717. 22 indexed citations
9.
Bhan, Arunoday, Imran Hussain, Khairul I. Ansari, et al.. (2013). Antisense Transcript Long Noncoding RNA (lncRNA) HOTAIR is Transcriptionally Induced by Estradiol. Journal of Molecular Biology. 425(19). 3707–3722. 210 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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