Reaz Uddin
Impact in
-
- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Synthesis and biological activity
- Synthesis and Characterization of Heterocyclic Compounds
- Click Chemistry and Applications
Papers in
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- vaccines and immunoinformatics approaches 18
- RNA and protein synthesis mechanisms 8
- Biochemical and Molecular Research 7
-
- Computational Drug Discovery Methods 25
- Co-authors
- Zaheer Ul‐Haq (16 shared papers)Abdul Wadood (19 shared papers)Syed Sikander Azam (19 shared papers)Salman Ali Khan (2 shared papers)Sajda Ashraf (1 shared paper)Komal Zia (1 shared paper)Kanwal Khan (25 shared papers)Khurshid Jalal (21 shared papers)
- Journals
- Medicinal Chemistry Research (6 papers)PLoS ONE (6 papers)Journal of Biomolecular Structure and Dynamics (6 papers)Microbial Pathogenesis (3 papers)Journal of Molecular Liquids (3 papers)
- Partner nations
- PakistanSaudi ArabiaGermany
In The Last Decade
Reaz Uddin
87 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 418
- Organic Chemistry 628
- Infectious Diseases 370
- Molecular Medicine 84
- Molecular Biology 877
Countries citing papers authored by Reaz Uddin
This map shows the geographic impact of Reaz Uddin'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 Reaz Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reaz Uddin more than expected).
Fields of papers citing papers by Reaz Uddin
This network shows the impact of papers produced by Reaz Uddin. 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 Reaz Uddin. The network helps show where Reaz Uddin may publish in the future.
Co-authors
The 25 scholars most cited alongside Reaz Uddin, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 280 | |
| 2 | 2020 | 280 | |
| 3 | 2008 | 95 | |
| 4 | 2015 | 93 | |
| 5 | 2017 | 88 | |
| 6 | 2010 | 80 | |
| 7 | 2018 | 50 | |
| 8 | 2013 | 45 | |
| 9 | 2015 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2008 | 37 | |
| 13 | 2022 | 36 | |
| 14 | 2020 | 35 | |
| 15 | 2018 | 34 | |
| 16 | 2012 | 33 | |
| 17 | 2010 | 30 | |
| 18 | 2022 | 28 | |
| 19 | 2011 | 27 | |
| 20 | 2017 | 27 |
About Reaz Uddin
Reaz Uddin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Pharmacology, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), vaccines and immunoinformatics approaches (18 papers), Tuberculosis Research and Epidemiology (12 papers), Synthesis and biological activity (9 papers), RNA and protein synthesis mechanisms (8 papers), Bacteriophages and microbial interactions (8 papers), Microbial Natural Products and Biosynthesis (8 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Computational Theory and Mathematics (418 citations), Organic Chemistry (628 citations), Infectious Diseases (370 citations), Molecular Medicine (84 citations) and Molecular Biology (877 citations). Reaz Uddin has collaborated with scholars based in Pakistan, Saudi Arabia and Germany. Frequent co-authors include Zaheer Ul‐Haq, Abdul Wadood, Syed Sikander Azam, Salman Ali Khan, Sajda Ashraf, Komal Zia, Kanwal Khan, Khurshid Jalal, M. Iqbal Choudhary and Ajmal Khan. Their work appears in journals such as Medicinal Chemistry Research, PLoS ONE, Journal of Biomolecular Structure and Dynamics, Microbial Pathogenesis and Journal of Molecular Liquids.
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.