Shaleen Shrestha

758 total citations
9 papers, 493 citations indexed

About

Shaleen Shrestha is a scholar working on Molecular Biology, Aging and Biological Psychiatry. According to data from OpenAlex, Shaleen Shrestha has authored 9 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Aging and 1 paper in Biological Psychiatry. Recurrent topics in Shaleen Shrestha's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Gene Regulatory Network Analysis (3 papers) and RNA Research and Splicing (3 papers). Shaleen Shrestha is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Gene Regulatory Network Analysis (3 papers) and RNA Research and Splicing (3 papers). Shaleen Shrestha collaborates with scholars based in United States and Canada. Shaleen Shrestha's co-authors include Albertha J.M. Walhout, Aurian P. García-González, L. Şafak Yılmaz, Erik C. Andersen, John Reece-Hoyes, Chad L. Myers, Akihiro Mori, Juan I. Fuxman Bass, Bryan R. Lajoie and Alos Diallo and has published in prestigious journals such as Cell, Molecular Cell and Nature Methods.

In The Last Decade

Shaleen Shrestha

9 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaleen Shrestha United States	6	390	136	54	53	43	9	493
Aurian P. García-González United States	9	303 0.8×	82 0.6×	57 1.1×	57 1.1×	10 0.2×	12	404
Olivia S. Long United States	6	206 0.5×	208 1.5×	25 0.5×	20 0.4×	21 0.5×	7	434
Anne E. Dodson United States	9	467 1.2×	117 0.9×	17 0.3×	45 0.8×	72 1.7×	16	541
Li Wei Rachel Tay United States	6	285 0.7×	92 0.7×	22 0.4×	22 0.4×	18 0.4×	8	421
Esther Marza France	12	352 0.9×	51 0.4×	20 0.4×	25 0.5×	28 0.7×	16	553
Tomás Rodríguez United States	11	459 1.2×	46 0.3×	38 0.7×	139 2.6×	40 0.9×	17	572
Adrianna Skoneczna Poland	15	433 1.1×	43 0.3×	29 0.5×	54 1.0×	69 1.6×	33	498
Leonor M. Quintaneiro United Kingdom	4	217 0.6×	54 0.4×	47 0.9×	13 0.2×	7 0.2×	4	314
Sofia Aronova United States	7	663 1.7×	43 0.3×	12 0.2×	20 0.4×	88 2.0×	8	750
Vanessa Palermo Italy	13	491 1.3×	56 0.4×	24 0.4×	19 0.4×	63 1.5×	22	578

Countries citing papers authored by Shaleen Shrestha

Since Specialization

Citations

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

Fields of papers citing papers by Shaleen Shrestha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaleen Shrestha

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

All Works

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9 of 9 papers shown

Haley, Jennifer, et al.. (2022). IsoTag™AAV: an innovative, scalable & non-chromatographic method for streamlined AAV manufacturing. Cell and Gene Therapy Insights. 8(10). 1287–1300. 1 indexed citations

Shrestha, Shaleen, et al.. (2019). Discovering human transcription factor physical interactions with genetic variants, novel DNA motifs, and repetitive elements using enhanced yeast one-hybrid assays. Genome Research. 29(9). 1533–1544. 10 indexed citations

Shrestha, Shaleen, et al.. (2019). Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences. Journal of Visualized Experiments. 2 indexed citations

García-González, Aurian P., et al.. (2017). Bacterial Metabolism Affects the C. elegans Response to Cancer Chemotherapeutics. Cell. 169(3). 431–441.e8. 183 indexed citations

Tamburino, Alex M., et al.. (2017). PRIMA: a gene-centered, RNA-to-protein method for mapping RNA-protein interactions. PubMed. 5(1). e1295130–e1295130. 2 indexed citations

Bass, Juan I. Fuxman, Carles Pons, John Reece-Hoyes, et al.. (2016). A gene‐centered C. elegans protein– DNA interaction network provides a framework for functional predictions. Molecular Systems Biology. 12(10). 884–884. 48 indexed citations

Bass, Juan I. Fuxman, Nidhi Sahni, Shaleen Shrestha, et al.. (2015). Human Gene-Centered Transcription Factor Networks for Enhancers and Disease Variants. Cell. 161(3). 661–673. 86 indexed citations

Reece-Hoyes, John, Carles Pons, Alos Diallo, et al.. (2013). Extensive Rewiring and Complex Evolutionary Dynamics in a C. elegans Multiparameter Transcription Factor Network. Molecular Cell. 51(1). 116–127. 69 indexed citations

Reece-Hoyes, John, Alos Diallo, Bryan R. Lajoie, et al.. (2011). Enhanced yeast one-hybrid assays for high-throughput gene-centered regulatory network mapping. Nature Methods. 8(12). 1059–1064. 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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