Saad Raza
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 9
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- Antibiotic Resistance in Bacteria 5
- Co-authors
- Syed Sikander Azam (21 shared papers)Sajjad Ahmad (10 shared papers)Asma Abro (4 shared papers)Reaz Uddin (3 shared papers)Klaus Roman Liedl (3 shared papers)Farhan Ul Haq (1 shared paper)Julian E. Fuchs (1 shared paper)Josh V. Vermaas (7 shared papers)
- Journals
- Journal of Molecular Liquids (6 papers)Journal of Biomolecular Structure and Dynamics (3 papers)Journal of Molecular Graphics and Modelling (3 papers)The Journal of Physical Chemistry B (2 papers)IEEE Transactions on Computational Biology and Bioinformatics (2 papers)
- Partner nations
- PakistanUnited StatesAustria
In The Last Decade
Saad Raza
31 papers receiving 595 citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 65
- Computational Theory and Mathematics 153
- Biotechnology 44
- Molecular Biology 326
- Pharmacology 40
Countries citing papers authored by Saad Raza
This map shows the geographic impact of Saad Raza'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 Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Raza more than expected).
Fields of papers citing papers by Saad Raza
This network shows the impact of papers produced by Saad Raza. 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 Raza. The network helps show where Saad Raza may publish in the future.
Co-authors
The 25 scholars most cited alongside Saad Raza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2017 | 76 | |
| 3 | 2016 | 41 | |
| 4 | 2016 | 37 | |
| 5 | 2018 | 36 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2023 | 28 | |
| 9 | 2014 | 24 | |
| 10 | 2018 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2015 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2018 | 10 |
About Saad Raza
Saad Raza is a scholar working on Computational Theory and Mathematics, Molecular Medicine, Molecular Biology, Plant Science and Organic Chemistry, having authored 34 papers that have together received 604 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cancer therapeutics and mechanisms (5 papers), Protein Structure and Dynamics (5 papers), Antibiotic Resistance in Bacteria (5 papers), Enzyme Structure and Function (3 papers), Bacterial Genetics and Biotechnology (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Molecular Medicine (65 citations), Computational Theory and Mathematics (153 citations), Biotechnology (44 citations), Molecular Biology (326 citations) and Pharmacology (40 citations). Saad Raza has collaborated with scholars based in Pakistan, United States and Austria. Frequent co-authors include Syed Sikander Azam, Sajjad Ahmad, Asma Abro, Reaz Uddin, Klaus Roman Liedl, Farhan Ul Haq, Julian E. Fuchs, Josh V. Vermaas, Bing Yang and Qi-Jun Chen. Their work appears in journals such as Journal of Molecular Liquids, Journal of Biomolecular Structure and Dynamics, Journal of Molecular Graphics and Modelling, The Journal of Physical Chemistry B and IEEE Transactions on Computational Biology and Bioinformatics.
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.