Heba Nassereddeen

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Computational Methods to Study Human Transcript Variants in COVID-19 Infected Lung Cancer Cells”.

Computational Methods to Study Human Transcript Variants in COVID-19 Infected Lung Cancer Cells

International Journal of Molecular Sciences(2021)10.3390/ijms22189684

N/A

0DataRank · unranked

7 citations

Naima Ahmed Fahmi, Heba Nassereddeen, Sze Cheng, Irene Martinez, Deliang Fan +3 more

AS-Quant: Detection and Visualization of Alternative Splicing Events with RNA-seq Data

International Journal of Molecular Sciences(2021)10.3390/ijms22094468

N/A

0DataRank · unranked

15 citations

Heba Nassereddeen, Jae-Woong Chang, Mee Yeon Park, Hsin-Sung Yeh, Jiao Sun +4 more

APA-Scan: detection and visualization of 3′-UTR alternative polyadenylation with RNA-seq and 3′-end-seq data

BMC Bioinformatics(2022)10.1186/s12859-022-04939-w

N/A

0DataRank · unranked

19 citations

Khandakar Tanvir Ahmed, Jae‐Woong Chang, Heba Nassereddeen, Deliang Fan, Jeongsik Yong +2 more