Nizar A. Al‐Shar’i
- Molecular Biology
- Organic Chemistry
- Infectious Diseases
- Computational Theory and Mathematics top 5%
- Microbiology top 10%
- Co-authors
- Qosay Al‐BalasRana ObaidatAmmar AlmaaytahMohammad A. HassanKatharigatta N. VenugopalaPran Kishore DebPobitra BorahTamam El‐Elimat
- Topics
- Computational Drug Discovery Methods (14 papers)Protein Hydrolysis and Bioactive Peptides (6 papers)Synthesis and biological activity (4 papers)
- Partner nations
- JordanIndiaSaudi Arabia
In The Last Decade
Nizar A. Al‐Shar’i
46 papers receiving 641 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 331
- Organic Chemistry 144
- Infectious Diseases 114
- Computational Theory and Mathematics 105
- Microbiology 65
Countries citing papers authored by Nizar A. Al‐Shar’i
This map shows the geographic impact of Nizar A. Al‐Shar’i'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 Nizar A. Al‐Shar’i with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nizar A. Al‐Shar’i more than expected).
Fields of papers citing papers by Nizar A. Al‐Shar’i
This network shows the impact of papers produced by Nizar A. Al‐Shar’i. 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 Nizar A. Al‐Shar’i. The network helps show where Nizar A. Al‐Shar’i may publish in the future.
Co-authorship network of co-authors of Nizar A. Al‐Shar’i
This figure shows the co-authorship network connecting the top 25 collaborators of Nizar A. Al‐Shar’i. A scholar is included among the top collaborators of Nizar A. Al‐Shar’i based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nizar A. Al‐Shar’i. Nizar A. Al‐Shar’i is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 40 | |
| 11 | 5 | |
| 12 | Discovery of Novel Glyoxalase-I Inhibitors Using Computational Fragment-Based Drug Design Approach | 3 |
| 13 | 30 | |
| 14 | 12 | |
| 15 | Design, Synthesis and Biological Evaluation of Potential Novel Zinc Binders Targeting Human Glyoxalase-I; A Validated Target for Cancer Treatment | 4 |
| 16 | 17 | |
| 17 | 14 | |
| 18 | 15 | |
| 19 | Identification of Possible Glyoxalase II Inhibitors as Anticancer Agents by a Customized 3D Structure-Based Pharmacophore Model | 4 |
| 20 | 40 |
About Nizar A. Al‐Shar’i
Nizar A. Al‐Shar’i is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Microbiology, having authored 48 papers that have together received 650 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (32 citations), Microbiology (65 citations) and Pharmaceutical Science (60 citations). Nizar A. Al‐Shar’i has collaborated with scholars based in Jordan, India and Saudi Arabia. Frequent co-authors include Qosay Al‐Balas, Rana Obaidat, Ammar Almaaytah, Mohammad A. Hassan, Katharigatta N. Venugopala, Pran Kishore Deb, Pobitra Borah, Tamam El‐Elimat, Shadi Tarazi and Satyendra Deka. Their work appears in journals such as Molecules, International Journal of Biological Macromolecules and Current Medicinal Chemistry.
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.