Adib Shafi
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 3
- Epigenetics and DNA Methylation 2
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Sorin Drăghici (11 shared papers)Tin Nguyen (7 shared papers)Azam Peyvandipour (5 shared papers)Michele Donato (2 shared papers)Cristina Mitrea (1 shared paper)Hung Nguyen (2 shared papers)Sangam Shrestha (1 shared paper)Duc Tran (1 shared paper)
- Journals
- Scientific Reports (3 papers)Frontiers in Genetics (2 papers)Bioinformatics (2 papers)Genome biology (2 papers)Journal of Clinical Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Adib Shafi
14 papers receiving 382 citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 91
- Molecular Biology 317
- Cancer Research 43
- Biophysics 7
- Genetics 34
Countries citing papers authored by Adib Shafi
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
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-authors
The 23 scholars most cited alongside Adib Shafi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 146 | |
| 2 | 2018 | 75 | |
| 3 | 2017 | 47 | |
| 4 | 2019 | 33 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 1 | |
| 15 | 2024 | 0 |
About Adib Shafi
Adib Shafi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Gender Studies and Infectious Diseases, having authored 15 papers that have together received 390 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (5 papers), Computational Drug Discovery Methods (4 papers), Biomedical Text Mining and Ontologies (3 papers), Diversity and Career in Medicine (2 papers), Epigenetics and DNA Methylation (2 papers), Gene Regulatory Network Analysis (2 papers) and Innovations in Medical Education (2 papers). The work is most often cited by research in Computational Theory and Mathematics (91 citations), Molecular Biology (317 citations), Cancer Research (43 citations), Biophysics (7 citations) and Genetics (34 citations). Adib Shafi has collaborated with scholars based in United States. Frequent co-authors include Sorin Drăghici, Tin Nguyen, Azam Peyvandipour, Michele Donato, Cristina Mitrea, Hung Nguyen, Sangam Shrestha, Duc Tran, Satinder Kaur and Conrad R. Chao. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, Bioinformatics, Genome biology and Journal of Clinical Medicine.
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.