Amin Emad
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Single-cell and spatial transcriptomics
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 2
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- COVID-19 Clinical Research Studies 3
- Co-authors
- David Earl Hostallero (4 shared papers)Saurabh Sinha (2 shared papers)Jing Shan Lim (1 shared paper)Junmei Cairns (1 shared paper)Lixuan Wei (1 shared paper)Simon Rousseau (4 shared papers)Olgica Milenković (2 shared papers)Liewei Wang (1 shared paper)
- Journals
- Bioinformatics (4 papers)PLoS Computational Biology (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)npj Systems Biology and Applications (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Amin Emad
19 papers receiving 170 citations
Peers
Comparison fields: 5 of 52
- Computational Theory and Mathematics 66
- Molecular Biology 87
- Biophysics 6
- Cancer Research 12
- Immunology 17
Countries citing papers authored by Amin Emad
This map shows the geographic impact of Amin Emad'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 Amin Emad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Emad more than expected).
Fields of papers citing papers by Amin Emad
This network shows the impact of papers produced by Amin Emad. 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 Amin Emad. The network helps show where Amin Emad may publish in the future.
Co-authors
The 25 scholars most cited alongside Amin Emad, 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 | 2020 | 30 | |
| 2 | 2022 | 21 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 16 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2011 | 2 | |
| 15 | Semi-Quantitative Group Testing: a General Paradigm with Applications in Genotyping | 2012 | 1 |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2009 | 1 | |
| 20 | 2025 | 0 |
About Amin Emad
Amin Emad is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Immunology and Computer Networks and Communications, having authored 20 papers that have together received 170 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Computational Drug Discovery Methods (3 papers), COVID-19 Clinical Research Studies (3 papers), Wireless Communication Networks Research (2 papers), Advanced Wireless Communication Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Computational Theory and Mathematics (66 citations), Molecular Biology (87 citations), Biophysics (6 citations), Cancer Research (12 citations) and Immunology (17 citations). Amin Emad has collaborated with scholars based in Canada, United States and France. Frequent co-authors include David Earl Hostallero, Saurabh Sinha, Jing Shan Lim, Junmei Cairns, Lixuan Wei, Simon Rousseau, Olgica Milenković, Liewei Wang, Karine Tremblay and Norman C. Beaulieu. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Scientific Reports, Nature Communications and npj Systems Biology and Applications.
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.