Muhammad Salim Khan
- Biomedical Engineering
- Mechanical Engineering
- Computational Mechanics top 10%
- Clinical Psychology
- Infectious Diseases
- Co-authors
- Zahir ShahSheikh Mohd SaleemInaamul HaqNarcisa VrînceanuAhmad ShafeeMansoor H. AlshehriMariya Amin QurieshiHakim AL Garalleh
- Topics
- Nanofluid Flow and Heat Transfer (9 papers)SARS-CoV-2 and COVID-19 Research (9 papers)Heat Transfer Mechanisms (6 papers)
- Partner nations
- IndiaPakistanSaudi Arabia
In The Last Decade
Muhammad Salim Khan
69 papers receiving 408 citations
Peers
Comparison fields: 5 of 121
- Biomedical Engineering 106
- Mechanical Engineering 84
- Computational Mechanics 73
- Clinical Psychology 58
- Infectious Diseases 56
Countries citing papers authored by Muhammad Salim Khan
This map shows the geographic impact of Muhammad Salim Khan'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 Salim Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Salim Khan more than expected).
Fields of papers citing papers by Muhammad Salim Khan
This network shows the impact of papers produced by Muhammad Salim Khan. 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 Salim Khan. The network helps show where Muhammad Salim Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Salim Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Salim Khan. A scholar is included among the top collaborators of Muhammad Salim Khan 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 Salim Khan. Muhammad Salim Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | Revision of some morphometric characteristics and building the standard haematological reference value in Rita rita from Pakistan | 1 |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | Finnish Diabetic Risk Score: A Tool for Predicting Risk of Undiagnosed Type 2 Diabetes Mellitus | 5 |
| 18 | Experience of Surgical Management of Mediastinal Masses in a Thoracic Surgical Unit of a Tertiary Care Hospital | 1 |
| 19 | A Report on Goiter Survey among School Age Children (6-12 years) in Northern India | 1 |
| 20 | Chemical control of red pumpkin beetle Aulacophora foveicollis (Lucas) attacking muskmelon crop | 3 |
About Muhammad Salim Khan
Muhammad Salim Khan is a scholar working on Virology, Modeling and Simulation and Infectious Diseases, having authored 82 papers that have together received 429 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Heat Transfer Mechanisms (6 papers). The work is most often cited by research in Modeling and Simulation (45 citations), Virology (23 citations) and Computational Mechanics (73 citations). Muhammad Salim Khan has collaborated with scholars based in India, Pakistan and Saudi Arabia. Frequent co-authors include Zahir Shah, Sheikh Mohd Saleem, Inaamul Haq, Narcisa Vrînceanu, Ahmad Shafee, Mansoor H. Alshehri, Mariya Amin Qurieshi, Hakim AL Garalleh, Ahmed Alshehri and Waris Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.