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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- Protein Structure and Dynamics 5
- Cancer therapeutics and mechanisms 5
- Chemical Synthesis and Analysis 2
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- Computational Drug Discovery Methods 9
- Co-authors
- Syed Sikander Azam (21 shared papers)Sajjad Ahmad (10 shared papers)Reaz Uddin (3 shared papers)Asma Abro (4 shared papers)Klaus R. Liedl (3 shared papers)Farhan Haq (1 shared paper)Julian E. Fuchs (1 shared paper)Josh V. Vermaas (6 shared papers)
- Journals
- Journal of Molecular Liquids (6 papers)Journal of Molecular Graphics and Modelling (3 papers)Journal of Biomolecular Structure and Dynamics (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Saad Raza
31 papers receiving 539 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 67
- Computational Theory and Mathematics 152
- Pharmacology 41
- Molecular Biology 317
- Biotechnology 39
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 88 | |
| 2 | 2017 | 66 | |
| 3 | 2016 | 40 | |
| 4 | 2016 | 37 | |
| 5 | 2018 | 34 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2014 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2015 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2019 | 9 |
About Saad Raza
Saad Raza is a scholar working on Molecular Biology, Computational Theory and Mathematics, Plant Science, Organic Chemistry and Molecular Medicine, having authored 33 papers that have together received 546 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers), Cancer therapeutics and mechanisms (5 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Molecular Medicine (67 citations), Computational Theory and Mathematics (152 citations), Pharmacology (41 citations), Molecular Biology (317 citations) and Biotechnology (39 citations). Saad Raza has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Syed Sikander Azam, Sajjad Ahmad, Reaz Uddin, Asma Abro, Klaus R. Liedl, Farhan Haq, Julian E. Fuchs, Josh V. Vermaas, Claudio F. González and Aamer Ali Shah. Their work appears in journals such as Journal of Molecular Liquids, Journal of Molecular Graphics and Modelling, Journal of Biomolecular Structure and Dynamics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and The Journal of Physical Chemistry B.
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.