Saad Haider
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Metabolomics and Mass Spectrometry Studies
- Gene Regulatory Network Analysis
Papers in
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- Computational Drug Discovery Methods 13
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- Bioinformatics and Genomic Networks 3
- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 2
- Protein Degradation and Inhibitors 2
- Co-authors
- Ranadip Pal (11 shared papers)Souparno Ghosh (2 shared papers)Raziur Rahman (2 shared papers)M. Duval (1 shared paper)Rebecca A. Clewell (5 shared papers)Noah Berlow (4 shared papers)Patrick D. McMullen (5 shared papers)Melvin E. Andersen (4 shared papers)
- Journals
- Toxicology in Vitro (2 papers)Toxicology and Applied Pharmacology (1 paper)The Journal of the Acoustical Society of America (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Saad Haider
17 papers receiving 490 citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 60
- Molecular Biology 236
- Health, Toxicology and Mutagenesis 35
- Small Animals 18
- Cancer Research 34
Countries citing papers authored by Saad Haider
This map shows the geographic impact of Saad Haider'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 Saad Haider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Haider more than expected).
Fields of papers citing papers by Saad Haider
This network shows the impact of papers produced by Saad Haider. 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 Saad Haider. The network helps show where Saad Haider may publish in the future.
Co-authors
The 25 scholars most cited alongside Saad Haider, 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 | 2013 | 304 | |
| 2 | 2020 | 30 | |
| 3 | 2015 | 29 | |
| 4 | 2012 | 19 | |
| 5 | 2014 | 19 | |
| 6 | 2019 | 17 | |
| 7 | 2015 | 15 | |
| 8 | 2019 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 7 | |
| 12 | 2012 | 6 | |
| 13 | 2013 | 6 | |
| 14 | 2011 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2014 | 1 |
About Saad Haider
Saad Haider is a scholar working on Computational Theory and Mathematics, Molecular Biology, Small Animals, Pharmacology and Health, Toxicology and Mutagenesis, having authored 18 papers that have together received 501 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Pharmacogenetics and Drug Metabolism (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene Regulatory Network Analysis (3 papers), Animal testing and alternatives (3 papers), Gene expression and cancer classification (2 papers), Protein Degradation and Inhibitors (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Computational Theory and Mathematics (60 citations), Molecular Biology (236 citations), Health, Toxicology and Mutagenesis (35 citations), Small Animals (18 citations) and Cancer Research (34 citations). Saad Haider has collaborated with scholars based in United States and Canada. Frequent co-authors include Ranadip Pal, Souparno Ghosh, Raziur Rahman, M. Duval, Rebecca A. Clewell, Noah Berlow, Patrick D. McMullen, Melvin E. Andersen, Kamel Mansouri and Michael B. Black. Their work appears in journals such as Toxicology in Vitro, Toxicology and Applied Pharmacology, The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Computational Biology and Bioinformatics and PLoS ONE.
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.