Muhammad Farhan Hanif
- Computational Theory and Mathematics top 2%
- Geometry and Topology top 2%
- Infectious Diseases top 10%
- Neurology top 10%
- Organic Chemistry
- Co-authors
- Muhammad Kamran SiddiquiMuhammad Adnan HaiderMukarram Jamat AliMuhammad Umer AhmedAmin H. KarimAbdul SattarGul Muhammad MemonSidra Naz
- Topics
- Graph theory and applications (45 papers)Computational Drug Discovery Methods (39 papers)COVID-19 Clinical Research Studies (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Muhammad Farhan Hanif
72 papers receiving 747 citations
Peers
Comparison fields: 5 of 113
- Computational Theory and Mathematics 268
- Geometry and Topology 246
- Infectious Diseases 197
- Neurology 183
- Organic Chemistry 125
Countries citing papers authored by Muhammad Farhan Hanif
This map shows the geographic impact of Muhammad Farhan Hanif'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 Muhammad Farhan Hanif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Farhan Hanif more than expected).
Fields of papers citing papers by Muhammad Farhan Hanif
This network shows the impact of papers produced by Muhammad Farhan Hanif. 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 Muhammad Farhan Hanif. The network helps show where Muhammad Farhan Hanif may publish in the future.
Co-authorship network of co-authors of Muhammad Farhan Hanif
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Farhan Hanif. A scholar is included among the top collaborators of Muhammad Farhan Hanif 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 Muhammad Farhan Hanif. Muhammad Farhan Hanif 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 | 13 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | Concordance of bone mineral density (BMD) and biochemical parameters for the diagnosis of osteoporosis in postmenopausal women studied at Kiran, Karachi, Pakistan. | 2 |
About Muhammad Farhan Hanif
Muhammad Farhan Hanif is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Infectious Diseases, having authored 88 papers that have together received 767 indexed citations. Recurring topics across this work include Graph theory and applications (45 papers), Computational Drug Discovery Methods (39 papers) and COVID-19 Clinical Research Studies (14 papers). The work is most often cited by research in Geometry and Topology (246 citations), Computational Theory and Mathematics (268 citations) and Neurology (183 citations). Muhammad Farhan Hanif has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Muhammad Kamran Siddiqui, Muhammad Adnan Haider, Mukarram Jamat Ali, Muhammad Umer Ahmed, Amin H. Karim, Abdul Sattar, Gul Muhammad Memon, Sidra Naz, Mehwish Hussain Muhammad and Mohammad Reza Farahani. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.
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.