MN Baig
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Surgery 14
- Hip disorders and treatments 5
- Orthopaedic implants and arthroplasty 5
- Orthopedic Infections and Treatments 4
- Pelvic and Acetabular Injuries 2
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- Tendon Structure and Treatment 3
- Co-authors
- Pramath Kakodkar (2 shared papers)Nagham Kaka (1 shared paper)William Curtin (2 shared papers)Fintan J. Shannon (3 shared papers)Colin G. Murphy (1 shared paper)Michael Leonard (1 shared paper)Khalid Khan (1 shared paper)John P. McCabe (1 shared paper)
- Journals
- Cureus (24 papers)
- Partner nations
- IrelandPakistanUnited Kingdom
In The Last Decade
MN Baig
23 papers receiving 491 citations
MN Baig's Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 201
- Modeling and Simulation 41
- Orthopedics and Sports Medicine 68
- Neurology 90
- Critical Care and Intensive Care Medicine 24
Countries citing papers authored by MN Baig
This map shows the geographic impact of MN Baig'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 MN Baig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MN Baig more than expected).
Fields of papers citing papers by MN Baig
This network shows the impact of papers produced by MN Baig. 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 MN Baig. The network helps show where MN Baig may publish in the future.
Co-authors
The 14 scholars most cited alongside MN Baig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Literature Review on the Clinical Presentation, and Management of the Pandemic Coronavirus Disease 2019 (COVID-19) Hit paper breakdown → | 2020 | 369 |
| 2 | 2018 | 55 | |
| 3 | 2017 | 30 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 7 | |
| 6 | 2019 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 5 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2017 | 1 |
About MN Baig
MN Baig is a scholar working on Surgery, Orthopedics and Sports Medicine, Epidemiology, General Health Professions and Rehabilitation, having authored 24 papers that have together received 519 indexed citations. Recurring topics across this work include Hip disorders and treatments (5 papers), Orthopaedic implants and arthroplasty (5 papers), Orthopedic Infections and Treatments (4 papers), Tendon Structure and Treatment (3 papers), Spine and Intervertebral Disc Pathology (2 papers), Musculoskeletal Disorders and Rehabilitation (2 papers), Pelvic and Acetabular Injuries (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (201 citations), Modeling and Simulation (41 citations), Orthopedics and Sports Medicine (68 citations), Neurology (90 citations) and Critical Care and Intensive Care Medicine (24 citations). MN Baig has collaborated with scholars based in Ireland, Pakistan and United Kingdom. Frequent co-authors include Pramath Kakodkar, Nagham Kaka, William Curtin, Fintan J. Shannon, Colin G. Murphy, Michael Leonard, Khalid Khan, John P. McCabe, Aiden Devitt and Tahir Abbas Khan. Their work appears in journals such as Cureus.
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.