Muhammad Imran Nisar

58.0k citations
78 papers · 947 indexed · 1 hit paper · h-index 15
Topics
Pneumonia and Respiratory Infections (18 papers)Global Maternal and Child Health (16 papers)Respiratory viral infections research (15 papers)

In The Last Decade

Muhammad Imran Nisar

69 papers receiving 925 citations

Hit Papers

Low birth weight: Case definition & guidelines for data c...2017202620202023201750100150200250

Peers

Muhammad Imran Nisar
Comparison fields: 5 of 116
  • Pediatrics, Perinatology and Child Health 358
  • Epidemiology 253
  • Nutrition and Dietetics 156
  • Obstetrics and Gynecology 154
  • Public Health, Environmental and Occupational Health 154
Replace Susannah Woodd with:
Susannah Woodd United Kingdom
Melaku Desta Ethiopia
Aklilu Endalamaw Ethiopia
Awoke Misganaw Ethiopia
Khem Bahadur Karki Nepal
Fyezah Jehan Pakistan
Merga Dheresa Ethiopia
Daniel Bekele Ketema Ethiopia
Elizabeth Mason United States
Alem Gebremariam Ethiopia
Muhammad Imran Nisar relative to Susannah Woodd United Kingdom Susannah Woodd's profile →
Citations per field
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Susannah Woodd · 1×
Citations per year

Countries citing papers authored by Muhammad Imran Nisar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Muhammad Imran Nisar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Nisar. A scholar is included among the top collaborators of Muhammad Imran Nisar 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 Imran Nisar. Muhammad Imran Nisar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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14 18
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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) and Respiratory viral infections research (15 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 New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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.

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