Muhammad Waseem
- Molecular Biology
- Infectious Diseases
- Computational Theory and Mathematics top 10%
- Cell Biology
- Nutrition and Dietetics
- Co-authors
- Syed Shujait AliDong‐Qing WeiMuhammad SulemanSajjad AhmadZahid HussainKhurram AfzalJalifah LatipMubashir Hassan
- Topics
- Computational Drug Discovery Methods (6 papers)vaccines and immunoinformatics approaches (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- PakistanChinaUnited States
In The Last Decade
Muhammad Waseem
50 papers receiving 352 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 147
- Infectious Diseases 63
- Computational Theory and Mathematics 55
- Cell Biology 49
- Nutrition and Dietetics 38
Countries citing papers authored by Muhammad Waseem
This map shows the geographic impact of Muhammad Waseem'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 Waseem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Waseem more than expected).
Fields of papers citing papers by Muhammad Waseem
This network shows the impact of papers produced by Muhammad Waseem. 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 Waseem. The network helps show where Muhammad Waseem may publish in the future.
Co-authorship network of co-authors of Muhammad Waseem
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Waseem. A scholar is included among the top collaborators of Muhammad Waseem 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 Waseem. Muhammad Waseem 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 36 | |
| 16 | Role of Social Media in Diagnosis and Management of COVID-19; An Experience of a Pulmonologist | 2 |
| 17 | SARS - CoV-2, Pandemic COVID 19: A Brief Review | 6 |
| 18 | IMPACT OF POST-TRAUMATIC STRESS OF COVID-19 ON MENTAL WELLBEING OF UNDERGRADUATE MEDICAL STUDENTS IN PAKISTAN | 9 |
| 19 | 10 | |
| 20 | Utility of Blood Culture in Uncomplicated Pneumonia in Children | 0 |
About Muhammad Waseem
Muhammad Waseem is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Infectious Diseases, having authored 66 papers that have together received 360 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), vaccines and immunoinformatics approaches (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Biochemistry (36 citations), Computational Theory and Mathematics (55 citations) and Infectious Diseases (63 citations). Muhammad Waseem has collaborated with scholars based in Pakistan, China and United States. Frequent co-authors include Syed Shujait Ali, Dong‐Qing Wei, Muhammad Suleman, Sajjad Ahmad, Zahid Hussain, Khurram Afzal, Jalifah Latip, Mubashir Hassan, Zaman Ashraf and Humaira Nadeem. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.