Muhammad Hassan
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Organic Chemistry
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- Rana Muhammad AtifKhalid A. Al‐GhanimMuhammad UsmanMuhammad BilalShahid MahboobMuhammad Zohaib NawazSamia AfzalSafi Ullah
- Topics
- vaccines and immunoinformatics approaches (4 papers)Machine Learning in Bioinformatics (2 papers)Bacteriophages and microbial interactions (2 papers)
- Journals
- Infection and ImmunityRSC AdvancesInternational Journal of Environmental Research and Public Health
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Muhammad Hassan
14 papers receiving 311 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 167
- Computational Theory and Mathematics 69
- Organic Chemistry 42
- Radiology, Nuclear Medicine and Imaging 39
- Epidemiology 36
Countries citing papers authored by Muhammad Hassan
This map shows the geographic impact of Muhammad Hassan'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 Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Hassan more than expected).
Fields of papers citing papers by Muhammad Hassan
This network shows the impact of papers produced by Muhammad Hassan. 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 Hassan. The network helps show where Muhammad Hassan may publish in the future.
Co-authorship network of co-authors of Muhammad Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Hassan. A scholar is included among the top collaborators of Muhammad Hassan 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 Hassan. Muhammad Hassan 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 33 | |
| 8 | 30 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 57 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | A Molecular Analysis of Homo Sapiens’ Tumor-causing TP53 gene and associated P53 protein via Bioinformatics pipeline | 1 |
| 15 | 127 | |
| 16 | 23 |
About Muhammad Hassan
Muhammad Hassan is a scholar working on Developmental Neuroscience, Microbiology and Information Systems and Management, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (4 papers), Machine Learning in Bioinformatics (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Computational Theory and Mathematics (69 citations), Molecular Biology (167 citations) and Biotechnology (19 citations). Muhammad Hassan has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Rana Muhammad Atif, Khalid A. Al‐Ghanim, Muhammad Usman, Muhammad Bilal, Shahid Mahboob, Muhammad Zohaib Nawaz, Samia Afzal, Safi Ullah, Mohsin Ahmad Khan and Muhammad Irfan. Their work appears in journals such as Infection and Immunity, RSC Advances and International Journal of Environmental Research and Public Health.
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.