Muhammad Imran Nisar
- Obstetrics and Gynecology top 5%
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- Global Maternal and Child Health 16
- Health top 5%
- Vaccine Coverage and Hesitancy 11
- Nutrition and Dietetics top 10%
- Child Nutrition and Water Access 11
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 5
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- Pneumonia and Respiratory Infections 18
- Respiratory viral infections research 15
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- SARS-CoV-2 and COVID-19 Research 8
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- Ultrasound in Clinical Applications 5
- Co-authors
- Flor M. MuñozSonali KochharMilagritos D. TapiaAzucena BardajíFyezah JehanClare CutlandEve LackritzTamala Mallett Moore
- Journals
- Vaccine (6 papers)International Journal of Infectious Diseases (6 papers)BMJ Open (4 papers)
- Partner nations
- PakistanUnited StatesUnited Kingdom
In The Last Decade
Muhammad Imran Nisar
69 papers receiving 925 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Obstetrics and Gynecology 154
- Pediatrics, Perinatology and Child Health 358
- Health 133
- Nutrition and Dietetics 156
- Modeling and Simulation 36
Countries citing papers authored by Muhammad Imran Nisar
This map shows the geographic impact of Muhammad Imran Nisar'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 Imran Nisar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Imran Nisar more than expected).
Fields of papers citing papers by Muhammad Imran Nisar
This network shows the impact of papers produced by Muhammad Imran Nisar. 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 Imran Nisar. The network helps show where Muhammad Imran Nisar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Imran Nisar, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 3 | |
| 20 | 2015 | 7 |
About Muhammad Imran Nisar
Muhammad Imran Nisar is a scholar working on Health, Critical Care and Intensive Care Medicine and Modeling and Simulation, having authored 78 papers that have together received 947 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (18 papers), Global Maternal and Child Health (16 papers), Respiratory viral infections research (15 papers), Child Nutrition and Water Access (11 papers), Vaccine Coverage and Hesitancy (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Ultrasound in Clinical Applications (5 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Obstetrics and Gynecology (154 citations), Pediatrics, Perinatology and Child Health (358 citations) and Health (133 citations). Muhammad Imran Nisar has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Flor M. Muñoz, Sonali Kochhar, Milagritos D. Tapia, Azucena Bardají, Fyezah Jehan, Clare Cutland, Eve Lackritz, Tamala Mallett Moore, Chandrakant Lahariya and Jayani Pathirana. Their work appears in journals such as Vaccine, International Journal of Infectious Diseases, BMJ Open, Scientific Reports 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.