Adib Shafi

716 total citations
15 papers, 390 citations indexed

About

Adib Shafi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Adib Shafi has authored 15 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Adib Shafi's work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (5 papers) and Computational Drug Discovery Methods (4 papers). Adib Shafi is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (5 papers) and Computational Drug Discovery Methods (4 papers). Adib Shafi collaborates with scholars based in United States. Adib Shafi's co-authors include Sorin Drăghici, Tin Nguyen, Azam Peyvandipour, Michele Donato, Cristina Mitrea, Hung Nguyen, Duc Tran, Sangam Shrestha, Satinder Kaur and Conrad R. Chao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Adib Shafi

14 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adib Shafi United States 8 317 91 43 34 19 15 390
Prisca Lo Surdo Italy 8 255 0.8× 60 0.7× 33 0.8× 30 0.9× 15 0.8× 12 340
Máté Szalay-Bekő Hungary 5 252 0.8× 86 0.9× 32 0.7× 23 0.7× 10 0.5× 7 325
Amar Koleti United States 7 305 1.0× 152 1.7× 27 0.6× 29 0.9× 13 0.7× 7 388
Pauline Traynard France 7 266 0.8× 65 0.7× 43 1.0× 17 0.5× 9 0.5× 8 343
Michael Rautschka Spain 5 410 1.3× 88 1.0× 35 0.8× 62 1.8× 16 0.8× 5 506
Rod K. Nibbe United States 6 292 0.9× 74 0.8× 42 1.0× 22 0.6× 27 1.4× 7 356
Katharine Bisordi United States 6 387 1.2× 60 0.7× 70 1.6× 76 2.2× 39 2.1× 9 532
Ksenia Lezhnina United States 7 213 0.7× 108 1.2× 53 1.2× 18 0.5× 36 1.9× 8 359
Simon J. Larsen Denmark 10 235 0.7× 63 0.7× 43 1.0× 51 1.5× 37 1.9× 12 387
Vladimir Rynkov United States 3 202 0.6× 34 0.4× 31 0.7× 24 0.7× 13 0.7× 3 256

Countries citing papers authored by Adib Shafi

Since Specialization
Citations

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

Fields of papers citing papers by Adib Shafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adib Shafi

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

All Works

15 of 15 papers shown
1.
Srikanth, Sujata, Rooksana E. Noorai, K Williams, et al.. (2024). SARS-CoV-2 variant introduction following spring break travel and transmission mitigation strategies. PLoS ONE. 19(5). e0301225–e0301225.
2.
Welch, Robert, et al.. (2021). Long-Acting Reversible Contraception: Placement, Continuation, and Removal Rates at an Inner-City Academic Medical Center Clinic. Journal of Clinical Medicine. 10(9). 1918–1918. 1 indexed citations
3.
Chao, Conrad R., et al.. (2021). Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology. SHILAP Revista de lepidopterología. 48(5). 1048–1055. 3 indexed citations
4.
Kramer, Katherine J., et al.. (2021). Potential Impact of Pass/Fail Scores on USMLE Step 1: Predictors of Excellence in Obstetrics and Gynecology Residency Training. SHILAP Revista de lepidopterología. 8. 2327428868–2327428868. 4 indexed citations
5.
Nguyen, Tin, et al.. (2020). NBIA: a network-based integrative analysis framework – applied to pathway analysis. Scientific Reports. 10(1). 4188–4188. 7 indexed citations
6.
Shafi, Adib, et al.. (2020). MAGPEL: an autoMated pipeline for inferring vAriant-driven Gene PanEls from the full-length biomedical literature. Scientific Reports. 10(1). 12365–12365. 3 indexed citations
7.
Peyvandipour, Azam, et al.. (2020). Identification of cell types from single cell data using stable clustering. Scientific Reports. 10(1). 25 indexed citations
8.
Shafi, Adib, et al.. (2019). Correction to: Identifying significantly impacted pathways: a comprehensive review and assessment. Genome biology. 20(1). 234–234. 11 indexed citations
9.
Shafi, Adib, Tin Nguyen, Azam Peyvandipour, Hung Nguyen, & Sorin Drăghici. (2019). A Multi-Cohort and Multi-Omics Meta-Analysis Framework to Identify Network-Based Gene Signatures. Frontiers in Genetics. 10. 159–159. 19 indexed citations
10.
Shafi, Adib, et al.. (2019). Identifying significantly impacted pathways: a comprehensive review and assessment. Genome biology. 20(1). 203–203. 146 indexed citations
11.
Nguyen, Hung, Sangam Shrestha, Duc Tran, et al.. (2019). A Comprehensive Survey of Tools and Software for Active Subnetwork Identification. Frontiers in Genetics. 10. 155–155. 33 indexed citations
12.
Shafi, Adib, Tin Nguyen, Azam Peyvandipour, & Sorin Drăghici. (2019). GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis. Bioinformatics. 36(2). 487–495. 11 indexed citations
13.
Peyvandipour, Azam, et al.. (2018). A novel computational approach for drug repurposing using systems biology. Bioinformatics. 34(16). 2817–2825. 75 indexed citations
14.
Shafi, Adib, Cristina Mitrea, Tin Nguyen, & Sorin Drăghici. (2017). A survey of the approaches for identifying differential methylation using bisulfite sequencing data. Briefings in Bioinformatics. 19(5). 737–753. 47 indexed citations
15.
Shafi, Adib, Michele Donato, & Sorin Drăghici. (2015). A systems biology approach for the identification of significantly perturbed genes. 423–432. 5 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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