Muhammad Ghous
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Lung Cancer Treatments and Mutations 1
- Respiratory Support and Mechanisms 1
-
- Intensive Care Unit Cognitive Disorders 1
- Co-authors
- Erkin Ötleş (1 shared paper)Jeffrey S. McCullough (1 shared paper)Andrew E. Krumm (1 shared paper)M. Phillips (1 shared paper)Karandeep Singh (1 shared paper)John P. Donnelly (2 shared papers)Andrew Wong (1 shared paper)Saima Siddiqui (1 shared paper)
- Journals
- Annals of the American Thoracic Society (1 paper)JAMA Internal Medicine (1 paper)Innovation in Aging (1 paper)Arabian Journal of Geosciences (1 paper)Asian Journal of Agriculture and Biology (1 paper)
- Partner nations
- PakistanUnited StatesSudan
In The Last Decade
Muhammad Ghous
4 papers receiving 435 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Health Informatics 191
- Family Practice 44
- Health Information Management 54
- Artificial Intelligence 176
- Epidemiology 155
Countries citing papers authored by Muhammad Ghous
This map shows the geographic impact of Muhammad Ghous'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 Ghous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ghous more than expected).
Fields of papers citing papers by Muhammad Ghous
This network shows the impact of papers produced by Muhammad Ghous. 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 Ghous. The network helps show where Muhammad Ghous may publish in the future.
Co-authors
The 23 scholars most cited alongside Muhammad Ghous, 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 | External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients Hit paper breakdown → | 2021 | 431 |
| 2 | 2022 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2022 | 0 |
About Muhammad Ghous
Muhammad Ghous is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Strategy and Management, Family Practice and Radiological and Ultrasound Technology, having authored 7 papers that have together received 446 indexed citations. Recurring topics across this work include Microbial Metabolites in Food Biotechnology (1 paper), Seed and Plant Biochemistry (1 paper), Cancer Genomics and Diagnostics (1 paper), Posttraumatic Stress Disorder Research (1 paper), Family and Patient Care in Intensive Care Units (1 paper), Lung Cancer Treatments and Mutations (1 paper), Respiratory Support and Mechanisms (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Health Informatics (191 citations), Family Practice (44 citations), Health Information Management (54 citations), Artificial Intelligence (176 citations) and Epidemiology (155 citations). Muhammad Ghous has collaborated with scholars based in Pakistan, United States and Sudan. Frequent co-authors include Erkin Ötleş, Jeffrey S. McCullough, Andrew E. Krumm, M. Phillips, Karandeep Singh, John P. Donnelly, Andrew Wong, Saima Siddiqui, Ubaid ur Rehman and Adriana Rojas. Their work appears in journals such as Annals of the American Thoracic Society, JAMA Internal Medicine, Innovation in Aging, Arabian Journal of Geosciences and Asian Journal of Agriculture and Biology.
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.