Adil Muhammad
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
-
- Neonatal and Maternal Infections 4
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- Antibiotic Resistance in Bacteria 2
- Co-authors
- Naveed Ahmed (2 shared papers)Maria Mir (1 shared paper)Dildar Khan (2 shared papers)Kifayat Ullah Shah (1 shared paper)Asim ur Rehman (2 shared papers)Shahid Ali Khan (1 shared paper)
- Journals
- Nature Microbiology (2 papers)The Lancet Global Health (1 paper)Nature Communications (1 paper)The Lancet Infectious Diseases (1 paper)Journal of Drug Delivery Science and Technology (1 paper)
- Partner nations
- United KingdomPakistanEthiopia
In The Last Decade
Adil Muhammad
8 papers receiving 610 citations
Adil Muhammad's Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Medicine 169
- Applied Microbiology and Biotechnology 60
- Endocrinology 52
- Public Health, Environmental and Occupational Health 243
- Clinical Biochemistry 42
Countries citing papers authored by Adil Muhammad
This map shows the geographic impact of Adil Muhammad'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 Adil Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adil Muhammad more than expected).
Fields of papers citing papers by Adil Muhammad
This network shows the impact of papers produced by Adil Muhammad. 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 Adil Muhammad. The network helps show where Adil Muhammad may publish in the future.
Co-authors
The 6 scholars most cited alongside Adil Muhammad, 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 | Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries Hit paper breakdown → | 2021 | 262 |
| 2 | Neonatal sepsis and mortality in low-income and middle-income countries from a facility-based birth cohort: an international multisite prospective observational study Hit paper breakdown → | 2022 | 148 |
| 3 | 2021 | 95 | |
| 4 | 2022 | 60 | |
| 5 | 2024 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2024 | 11 | |
| 8 | 2025 | 1 |
About Adil Muhammad
Adil Muhammad is a scholar working on Public Health, Environmental and Occupational Health, Molecular Medicine, Endocrinology, Pharmaceutical Science and Critical Care and Intensive Care Medicine, having authored 8 papers that have together received 620 indexed citations. Recurring topics across this work include Neonatal and Maternal Infections (4 papers), Antibiotic Resistance in Bacteria (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Advanced Drug Delivery Systems (2 papers), Vibrio bacteria research studies (2 papers), Nosocomial Infections in ICU (1 paper), Urinary Tract Infections Management (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Molecular Medicine (169 citations), Applied Microbiology and Biotechnology (60 citations), Endocrinology (52 citations), Public Health, Environmental and Occupational Health (243 citations) and Clinical Biochemistry (42 citations). Adil Muhammad has collaborated with scholars based in United Kingdom, Pakistan and Ethiopia. Frequent co-authors include Naveed Ahmed, Maria Mir, Dildar Khan, Kifayat Ullah Shah, Asim ur Rehman and Shahid Ali Khan. Their work appears in journals such as Nature Microbiology, The Lancet Global Health, Nature Communications, The Lancet Infectious Diseases and Journal of Drug Delivery Science and Technology.
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.