Joseph Saad
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- vaccines and immunoinformatics approaches
Papers in
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- Acute Myeloid Leukemia Research 5
- Multiple Myeloma Research and Treatments 2
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- Protein Degradation and Inhibitors 2
- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Cell death mechanisms and regulation 1
- Co-authors
- Wenyu Wang (2 shared papers)Jing Tang (3 shared papers)Alina Malyutina (1 shared paper)Alberto Pessia (1 shared paper)Bulat Zagidullin (1 shared paper)Yinyin Wang (1 shared paper)Ziaurrehman Tanoli (1 shared paper)Mohieddin Jafari (1 shared paper)
- Journals
- Blood (2 papers)Molecular Oncology (1 paper)Blood Advances (1 paper)HemaSphere (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- FinlandUnited StatesSwitzerland
In The Last Decade
Joseph Saad
7 papers receiving 222 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 105
- Molecular Biology 143
- Pharmacology 15
- Biophysics 8
- Cancer Research 19
Countries citing papers authored by Joseph Saad
This map shows the geographic impact of Joseph Saad'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 Joseph Saad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Saad more than expected).
Fields of papers citing papers by Joseph Saad
This network shows the impact of papers produced by Joseph Saad. 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 Joseph Saad. The network helps show where Joseph Saad may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Saad, 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 | 163 | |
| 2 | 2019 | 49 | |
| 3 | 2024 | 4 | |
| 4 | 2018 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2026 | 0 | |
| 9 | 2023 | 0 |
About Joseph Saad
Joseph Saad is a scholar working on Hematology, Molecular Biology, Genetics, Social Psychology and Music, having authored 9 papers that have together received 222 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers), Bioinformatics and Genomic Networks (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (1 paper), Diverse Music Education Insights (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Molecular Biology (143 citations), Pharmacology (15 citations), Biophysics (8 citations) and Cancer Research (19 citations). Joseph Saad has collaborated with scholars based in Finland, United States and Switzerland. Frequent co-authors include Wenyu Wang, Jing Tang, Alina Malyutina, Alberto Pessia, Bulat Zagidullin, Yinyin Wang, Ziaurrehman Tanoli, Mohieddin Jafari, Shuyu Zheng and Jehad Aldahdooh. Their work appears in journals such as Blood, Molecular Oncology, Blood Advances, HemaSphere and Nucleic Acids Research.
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.