Muhammad Gul
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Venous Thromboembolism Diagnosis and Management
Papers in
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- COVID-19 Clinical Research Studies 4
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- Long-Term Effects of COVID-19 2
- Co-authors
- Ahmad Khan (1 shared paper)Muhammad Imran (1 shared paper)Vinicio de Jesús Pérez (3 shared papers)Steven P. Kutalek (1 shared paper)Joseph Rigdon (1 shared paper)Rajkumar Doshi (1 shared paper)Peter E. Morris (1 shared paper)Muhammad Suleman (1 shared paper)
- Journals
- Respiratory Research (1 paper)Therapeutic Advances in Respiratory Disease (1 paper)CHEST Journal (1 paper)Expert Review of Respiratory Medicine (1 paper)Critical Care Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Muhammad Gul
11 papers receiving 84 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 31
- Internal Medicine 5
- Neurology 16
- Critical Care and Intensive Care Medicine 5
- Modeling and Simulation 4
Countries citing papers authored by Muhammad Gul
This map shows the geographic impact of Muhammad Gul'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 Gul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Gul more than expected).
Fields of papers citing papers by Muhammad Gul
This network shows the impact of papers produced by Muhammad Gul. 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 Gul. The network helps show where Muhammad Gul may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Gul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 31 | |
| 2 | 2020 | 25 | |
| 3 | 2023 | 9 | |
| 4 | 2021 | 8 | |
| 5 | 2022 | 5 | |
| 6 | 2019 | 3 | |
| 7 | 2016 | 2 | |
| 8 | 2021 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 0 |
About Muhammad Gul
Muhammad Gul is a scholar working on Infectious Diseases, Neurology, Surgery, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 12 papers that have together received 87 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Respiratory Support and Mechanisms (1 paper), Acute Myocardial Infarction Research (1 paper), Statistical Methods in Clinical Trials (1 paper), Inflammasome and immune disorders (1 paper) and Ophthalmology and Eye Disorders (1 paper). The work is most often cited by research in Infectious Diseases (31 citations), Internal Medicine (5 citations), Neurology (16 citations), Critical Care and Intensive Care Medicine (5 citations) and Modeling and Simulation (4 citations). Muhammad Gul has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Ahmad Khan, Muhammad Imran, Vinicio de Jesús Pérez, Steven P. Kutalek, Muhammad Imran, Joseph Rigdon, Rajkumar Doshi, Peter E. Morris, Muhammad Suleman and Jeremy P. Wood. Their work appears in journals such as Respiratory Research, Therapeutic Advances in Respiratory Disease, CHEST Journal, Expert Review of Respiratory Medicine 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.