Mubarak A. Alamri
- Computational Theory and Mathematics top 0.5%
- Infectious Diseases top 5%
- Molecular Biology
- Organic Chemistry top 10%
- Pharmacology top 2%
- Co-authors
- Muhammad Tahir ul QamarSafar M. AlqahtaniLing‐Ling ChenAlhumaidi B. AlabbasMuhammad Usman MirzaMatheus FroeyenAli AltharawiObaid Afzal
- Topics
- Computational Drug Discovery Methods (22 papers)Synthesis and biological activity (12 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)
- Journals
- Scientific ReportsBiochemical and Biophysical Research CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- Saudi ArabiaPakistanIndia
In The Last Decade
Mubarak A. Alamri
64 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computational Theory and Mathematics 644
- Infectious Diseases 504
- Molecular Biology 501
- Organic Chemistry 252
- Pharmacology 215
Countries citing papers authored by Mubarak A. Alamri
This map shows the geographic impact of Mubarak A. Alamri'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 Mubarak A. Alamri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mubarak A. Alamri more than expected).
Fields of papers citing papers by Mubarak A. Alamri
This network shows the impact of papers produced by Mubarak A. Alamri. 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 Mubarak A. Alamri. The network helps show where Mubarak A. Alamri may publish in the future.
Co-authorship network of co-authors of Mubarak A. Alamri
This figure shows the co-authorship network connecting the top 25 collaborators of Mubarak A. Alamri. A scholar is included among the top collaborators of Mubarak A. Alamri 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 Mubarak A. Alamri. Mubarak A. Alamri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 14 | |
| 18 | 19 | |
| 19 | 112 | |
| 20 | 0 |
About Mubarak A. Alamri
Mubarak A. Alamri is a scholar working on Computational Theory and Mathematics, Microbiology and Organic Chemistry, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Synthesis and biological activity (12 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). The work is most often cited by research in Computational Theory and Mathematics (644 citations), Infectious Diseases (504 citations) and Pharmacology (215 citations). Mubarak A. Alamri has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Muhammad Tahir ul Qamar, Safar M. Alqahtani, Ling‐Ling Chen, Alhumaidi B. Alabbas, Muhammad Usman Mirza, Matheus Froeyen, Ali Altharawi, Obaid Afzal, Manal A. Alossaimi and Youcef Mehellou. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.