Syed Sikander Azam
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 12
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- Computational Drug Discovery Methods 24
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches 22
- Protein Structure and Dynamics 14
- RNA and protein synthesis mechanisms 8
- Machine Learning in Bioinformatics 7
- Biotechnology top 5%
- Filtration and Separation top 5%
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- Metal complexes synthesis and properties 9
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- Enzyme Structure and Function 7
- Co-authors
- Sajjad AhmadSaad RazaSumra Wajid AbbasiReaz UddinAbdul WadoodAsma AbroKara E. RanaghanSaba Ismail
- Journals
- Journal of Molecular Liquids (16 papers)Journal of Molecular Graphics and Modelling (11 papers)Medicinal Chemistry Research (7 papers)
- Partner nations
- PakistanUnited StatesAustria
In The Last Decade
Syed Sikander Azam
104 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 123
- Molecular Medicine 188
- Computational Theory and Mathematics 407
- Molecular Biology 1.2k
- Biotechnology 138
- Filtration and Separation 33
Countries citing papers authored by Syed Sikander Azam
This map shows the geographic impact of Syed Sikander Azam'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 Syed Sikander Azam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syed Sikander Azam more than expected).
Fields of papers citing papers by Syed Sikander Azam
This network shows the impact of papers produced by Syed Sikander Azam. 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 Syed Sikander Azam. The network helps show where Syed Sikander Azam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Syed Sikander Azam, 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 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 29 | |
| 11 | 2018 | 34 | |
| 12 | 2018 | 26 | |
| 13 | 2018 | 14 | |
| 14 | 2017 | 5 | |
| 15 | 2017 | 82 | |
| 16 | 2016 | 7 | |
| 17 | 2015 | 11 | |
| 18 | 2014 | 34 | |
| 19 | 2014 | 32 | |
| 20 | 2014 | 10 |
About Syed Sikander Azam
Syed Sikander Azam is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Molecular Biology, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), vaccines and immunoinformatics approaches (22 papers), Protein Structure and Dynamics (14 papers), Antibiotic Resistance in Bacteria (12 papers), Metal complexes synthesis and properties (9 papers), RNA and protein synthesis mechanisms (8 papers), Machine Learning in Bioinformatics (7 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Molecular Medicine (188 citations), Computational Theory and Mathematics (407 citations) and Molecular Biology (1.2k citations). Syed Sikander Azam has collaborated with scholars based in Pakistan, United States and Austria. Frequent co-authors include Sajjad Ahmad, Saad Raza, Sumra Wajid Abbasi, Reaz Uddin, Abdul Wadood, Asma Abro, Kara E. Ranaghan, Saba Ismail, Bernhard R. Randolf and Bernd M. Rode. Their work appears in journals such as Journal of Molecular Liquids, Journal of Molecular Graphics and Modelling, Medicinal Chemistry Research, European Journal of Pharmaceutical Sciences and Journal of Biomolecular Structure and Dynamics.
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.