Shaoli Das

1.5k total citations
24 papers, 1.2k citations indexed

About

Shaoli Das is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shaoli Das has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shaoli Das's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (4 papers). Shaoli Das is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (4 papers). Shaoli Das collaborates with scholars based in United States, India and France. Shaoli Das's co-authors include Suman Ghosal, Jayprokas Chakrabarti, Rituparno Sen, Piyali Basak, Uma Shankavaram, Kevin Camphausen, Xiang Deng, Sudhanshu Vrati, Arup Banerjee and Molykutty J. Aryankalayil and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Shaoli Das

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoli Das United States 13 1.0k 989 59 51 51 24 1.2k
Dario Veneziano United States 24 1.3k 1.2× 977 1.0× 78 1.3× 42 0.8× 58 1.1× 30 1.4k
Liyun Fu China 18 1.2k 1.2× 1.1k 1.1× 69 1.2× 39 0.8× 77 1.5× 28 1.4k
Liangde Xu China 10 627 0.6× 519 0.5× 41 0.7× 101 2.0× 74 1.5× 29 855
Kousuke Tanimoto Japan 18 611 0.6× 307 0.3× 64 1.1× 68 1.3× 86 1.7× 38 890
Yan Xie China 15 681 0.7× 539 0.5× 79 1.3× 56 1.1× 98 1.9× 29 953
Xu Song China 17 889 0.9× 631 0.6× 49 0.8× 54 1.1× 88 1.7× 34 1.0k
Suman Ghosal India 13 1.0k 1.0× 1.0k 1.0× 51 0.9× 21 0.4× 31 0.6× 21 1.3k
Timothy Chou United States 9 1.0k 1.0× 518 0.5× 54 0.9× 12 0.2× 83 1.6× 20 1.3k
Amelia Acha‐Sagredo Spain 16 486 0.5× 230 0.2× 47 0.8× 58 1.1× 99 1.9× 28 782
Jayanth Kumar Palanichamy India 15 641 0.6× 491 0.5× 72 1.2× 19 0.4× 71 1.4× 53 841

Countries citing papers authored by Shaoli Das

Since Specialization
Citations

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

Fields of papers citing papers by Shaoli Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoli Das

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoli Das. A scholar is included among the top collaborators of Shaoli Das 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 Shaoli Das. Shaoli Das 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.
Deng, Xiang, et al.. (2023). Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer. BMC Medical Genomics. 16(1). 168–168. 5 indexed citations
2.
Saha, Shekhar, et al.. (2023). Expression of nonmuscle myosin IIC is regulated by non-canonical binding activity of miRNAs. iScience. 26(12). 108384–108384. 1 indexed citations
3.
Ghosal, Suman, Katerina Hadrava Vanova, Shaoli Das, et al.. (2022). Immune signature of pheochromocytoma and paraganglioma in context of neuroendocrine neoplasms associated with prognosis. Endocrine. 79(1). 171–179. 17 indexed citations
4.
Chung, Eun Joo, et al.. (2022). Natural variation in macrophage polarization and function impact pneumocyte senescence and susceptibility to fibrosis. Aging. 14(19). 7692–7717. 10 indexed citations
5.
Ghosal, Suman, Thanh‐Truc Huynh, Leah Meuter, et al.. (2021). A long noncoding RNA–microRNA expression signature predicts metastatic signature in pheochromocytomas and paragangliomas. Endocrine. 75(1). 244–253. 3 indexed citations
6.
Das, Shaoli, Kevin Camphausen, & Uma Shankavaram. (2021). In silico drug repurposing to combat COVID-19 based on pharmacogenomics of patient transcriptomic data. 6(2). 1 indexed citations
7.
Das, Shaoli, Xiang Deng, Kevin Camphausen, & Uma Shankavaram. (2020). Synthetic Lethal Drug Combinations Targeting Proteasome and Histone Deacetylase Inhibitors in TP53-Mutated Cancers. PubMed. 1(2). 42–47. 2 indexed citations
8.
Das, Shaoli, Kevin Camphausen, & Uma Shankavaram. (2019). Pan-Cancer Analysis of Potential Synthetic Lethal Drug Targets Specific to Alterations in DNA Damage Response. Frontiers in Oncology. 9. 1136–1136. 12 indexed citations
9.
Das, Shaoli, Xiang Deng, Kevin Camphausen, & Uma Shankavaram. (2018). DiscoverSL: an R package for multi-omic data driven prediction of synthetic lethality in cancers. Bioinformatics. 35(4). 701–702. 32 indexed citations
10.
Shukla, Shweta, Shaoli Das, Suman Ghosal, et al.. (2017). Correlation of altered expression of a long non-coding RNA, NEAT1, in peripheral blood mononuclear cells with dengue disease progression. Journal of Infection. 75(6). 541–554. 27 indexed citations
11.
Ghosal, Suman, Shekhar Saha, Shaoli Das, et al.. (2016). miRepress: modelling gene expression regulation by microRNA with non-conventional binding sites. Scientific Reports. 6(1). 22334–22334. 9 indexed citations
12.
Das, Shaoli, Suman Ghosal, Bibhabasu Hazra, et al.. (2016). Dynamic changes in global microRNAome and transcriptome reveal complex miRNA-mRNA regulated host response to Japanese Encephalitis Virus in microglial cells. Scientific Reports. 6(1). 20263–20263. 47 indexed citations
13.
Ghosal, Suman, Shaoli Das, Rituparno Sen, & Jayprokas Chakrabarti. (2014). HumanViCe: host ceRNA network in virus infected cells in human. Frontiers in Genetics. 5. 249–249. 40 indexed citations
14.
Das, Shaoli, Suman Ghosal, Rituparno Sen, & Jayprokas Chakrabarti. (2014). lnCeDB: Database of Human Long Noncoding RNA Acting as Competing Endogenous RNA. PLoS ONE. 9(6). e98965–e98965. 141 indexed citations
15.
Sen, Rituparno, et al.. (2014). Competing Endogenous RNA: The Key to Posttranscriptional Regulation. The Scientific World JOURNAL. 2014. 1–6. 264 indexed citations
16.
Ghosal, Suman, Shaoli Das, & Jayprokas Chakrabarti. (2013). Long Noncoding RNAs: New Players in the Molecular Mechanism for Maintenance and Differentiation of Pluripotent Stem Cells. Stem Cells and Development. 22(16). 2240–2253. 91 indexed citations
17.
Ghosal, Suman, Shaoli Das, Rituparno Sen, Piyali Basak, & Jayprokas Chakrabarti. (2013). Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits. Frontiers in Genetics. 4. 283–283. 394 indexed citations
18.
Das, Shaoli, Suman Ghosal, Jayprokas Chakrabarti, & Karol Kozak. (2013). SeedSeq: Off-Target Transcriptome Database. BioMed Research International. 2013. 1–9. 8 indexed citations
19.
Das, Shaoli, Suman Ghosal, Karol Kozak, & Jayprokas Chakrabarti. (2012). An siRNA designing tool with a unique functional off-target filtering approach. Journal of Biomolecular Structure and Dynamics. 31(11). 1343–1357. 5 indexed citations
20.
Das, Shaoli, et al.. (2011). HNOCDB: A comprehensive database of genes and miRNAs relevant to head and neck and oral cancer. Oral Oncology. 48(2). 117–119. 18 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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