Munira Taj Muhammad
- Organic Chemistry top 10%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Pharmaceutical Science top 10%
- Materials Chemistry
- Co-authors
- Yajun LiHongli BaoShahnaz PerveenKhalid Mohammed KhanMong‐Feng ChiouYihang JiaoM. Iqbal ChoudharyImran Khan
- Topics
- Synthesis and biological activity (7 papers)Synthesis and Characterization of Heterocyclic Compounds (3 papers)Molecular Sensors and Ion Detection (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaOrganic Letters
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Munira Taj Muhammad
21 papers receiving 417 citations
Peers
Comparison fields: 5 of 67
- Organic Chemistry 312
- Endocrinology, Diabetes and Metabolism 44
- Molecular Biology 43
- Pharmaceutical Science 34
- Materials Chemistry 26
Countries citing papers authored by Munira Taj Muhammad
This map shows the geographic impact of Munira Taj Muhammad'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 Munira Taj Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munira Taj Muhammad more than expected).
Fields of papers citing papers by Munira Taj Muhammad
This network shows the impact of papers produced by Munira Taj Muhammad. 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 Munira Taj Muhammad. The network helps show where Munira Taj Muhammad may publish in the future.
Co-authorship network of co-authors of Munira Taj Muhammad
This figure shows the co-authorship network connecting the top 25 collaborators of Munira Taj Muhammad. A scholar is included among the top collaborators of Munira Taj Muhammad 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 Munira Taj Muhammad. Munira Taj Muhammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 57 | |
| 4 | 14 | |
| 5 | 25 | |
| 6 | 8 | |
| 7 | 57 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 12 | |
| 14 | 87 | |
| 15 | 58 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 8 |
About Munira Taj Muhammad
Munira Taj Muhammad is a scholar working on Family Practice, Organic Chemistry and Pharmaceutical Science, having authored 21 papers that have together received 421 indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers) and Molecular Sensors and Ion Detection (3 papers). The work is most often cited by research in Organic Chemistry (312 citations), Pharmaceutical Science (34 citations) and Family Practice (10 citations). Munira Taj Muhammad has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Yajun Li, Hongli Bao, Shahnaz Perveen, Khalid Mohammed Khan, Mong‐Feng Chiou, Yihang Jiao, M. Iqbal Choudhary, Imran Khan, Muhammad Israr and Changqing Ye. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Organic Letters.
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.