Abdullah Latif
Impact in
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- Tuberculosis Research and Epidemiology
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- Antibiotic Use and Resistance
Papers in
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- Tuberculosis Research and Epidemiology 9
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- Pneumonia and Respiratory Infections 7
- Pneumocystis jirovecii pneumonia detection and treatment 5
- Chronic Disease Management Strategies 1
- Co-authors
- Abdul Ghafoor (4 shared papers)Nafees Ahmad (4 shared papers)Muhammad Atif (3 shared papers)Fahad Saleem (3 shared papers)Abdul Wahid (3 shared papers)Muhammad Abubakar (2 shared papers)Amjad Khan (2 shared papers)Izaz Ahmad (2 shared papers)
- Journals
- Tropical Medicine and Infectious Disease (2 papers)BMC Infectious Diseases (2 papers)Frontiers in Pharmacology (2 papers)BMJ Open Respiratory Research (1 paper)Public Health Action (1 paper)
- Partner nations
- PakistanUnited KingdomUnited States
In The Last Decade
Abdullah Latif
9 papers receiving 89 citations
Peers
Comparison fields: 5 of 31
- Infectious Diseases 74
- Applied Microbiology and Biotechnology 5
- Epidemiology 59
- Molecular Medicine 4
- Health Informatics 1
Countries citing papers authored by Abdullah Latif
This map shows the geographic impact of Abdullah Latif'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 Abdullah Latif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Latif more than expected).
Fields of papers citing papers by Abdullah Latif
This network shows the impact of papers produced by Abdullah Latif. 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 Abdullah Latif. The network helps show where Abdullah Latif may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdullah Latif, 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 | 2021 | 19 | |
| 2 | 2021 | 15 | |
| 3 | 2022 | 13 | |
| 4 | 2021 | 13 | |
| 5 | 2018 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2022 | 0 |
About Abdullah Latif
Abdullah Latif is a scholar working on Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and General Health Professions, having authored 11 papers that have together received 91 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Pneumonia and Respiratory Infections (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), COVID-19 diagnosis using AI (2 papers), Diagnosis and treatment of tuberculosis (1 paper), Computational Drug Discovery Methods (1 paper), Problem and Project Based Learning (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Infectious Diseases (74 citations), Applied Microbiology and Biotechnology (5 citations), Epidemiology (59 citations), Molecular Medicine (4 citations) and Health Informatics (1 citation). Abdullah Latif has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Abdul Ghafoor, Nafees Ahmad, Muhammad Atif, Fahad Saleem, Abdul Wahid, Muhammad Abubakar, Amjad Khan, Izaz Ahmad, Razia Fatima and Mohsin F. Butt. Their work appears in journals such as Tropical Medicine and Infectious Disease, BMC Infectious Diseases, Frontiers in Pharmacology, BMJ Open Respiratory Research and Public Health Action.
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.