Fatima Noor
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Pharmacology top 5%
- Complementary and alternative medicine top 5%
- Plant Science
- Co-authors
- Usman Ali AshfaqMuhammad Tahir ul QamarAmeen S. S. AlwashmiMohammad Abdullah AljasirAqel AlbuttiSidra AslamMuhammad QasimAbdur Rehman
- Topics
- Computational Drug Discovery Methods (9 papers)vaccines and immunoinformatics approaches (6 papers)Bioinformatics and Genomic Networks (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Immunology
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Fatima Noor
56 papers receiving 874 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 408
- Computational Theory and Mathematics 223
- Pharmacology 150
- Complementary and alternative medicine 126
- Plant Science 115
Countries citing papers authored by Fatima Noor
This map shows the geographic impact of Fatima Noor'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 Fatima Noor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatima Noor more than expected).
Fields of papers citing papers by Fatima Noor
This network shows the impact of papers produced by Fatima Noor. 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 Fatima Noor. The network helps show where Fatima Noor may publish in the future.
Co-authorship network of co-authors of Fatima Noor
This figure shows the co-authorship network connecting the top 25 collaborators of Fatima Noor. A scholar is included among the top collaborators of Fatima Noor 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 Fatima Noor. Fatima Noor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 53 | |
| 15 | Network Pharmacology Approach for Medicinal Plants: Review and Assessmentbreakdown → | 258 |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 43 | |
| 19 | 4 | |
| 20 | 22 |
About Fatima Noor
Fatima Noor is a scholar working on Molecular Medicine, Health Information Management and Computational Theory and Mathematics, having authored 73 papers that have together received 899 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), vaccines and immunoinformatics approaches (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Pharmacology (150 citations), Complementary and alternative medicine (126 citations) and Computational Theory and Mathematics (223 citations). Fatima Noor has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Usman Ali Ashfaq, Muhammad Tahir ul Qamar, Ameen S. S. Alwashmi, Mohammad Abdullah Aljasir, Aqel Albutti, Sidra Aslam, Muhammad Qasim, Abdur Rehman, Muhammad Hamzah Saleem and Farah Shahid. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.
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.