Shakeel Ahmed
- Co-authors
- Kenneth S. M. LiCarol S. F. LamSusanna K. P. LauHonglin ChenKwok‐Yung YuenAlan K. L. TsangKwok‐Hung ChanPatrick C. Y. Woo
- Topics
- Survey Sampling and Estimation Techniques (6 papers)Antibiotic Resistance in Bacteria (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- BangladeshPakistanSaudi Arabia
In The Last Decade
Shakeel Ahmed
53 papers receiving 620 citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 351
- Epidemiology 139
- Animal Science and Zoology 117
- Immunology 84
- Surgery 79
Countries citing papers authored by Shakeel Ahmed
This map shows the geographic impact of Shakeel Ahmed'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 Shakeel Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shakeel Ahmed more than expected).
Fields of papers citing papers by Shakeel Ahmed
This network shows the impact of papers produced by Shakeel Ahmed. 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 Shakeel Ahmed. The network helps show where Shakeel Ahmed may publish in the future.
Co-authorship network of co-authors of Shakeel Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Shakeel Ahmed. A scholar is included among the top collaborators of Shakeel Ahmed 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 Shakeel Ahmed. Shakeel Ahmed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Disease Patterns and Outcomes of Neonatal Admissions at a Secondary Care Hospital in Pakistan | 2 |
| 13 | 26 | |
| 14 | 28 | |
| 15 | 3 | |
| 16 | Hepatitis C seropositivity in patients with acute and chronic urticaria | 6 |
| 17 | Omenn’s Syndrome : A rare primary immunodeficiency disorder | 6 |
| 18 | A class of predictive estimators in multi-stage sampling using auxiliary information | 5 |
| 19 | Interval estimation of the quantiles of finite population using multivariate auxiliary information | 1 |
| 20 | Some competitive estimators of finite population variance using multivariate auxiliary information | 11 |
About Shakeel Ahmed
Shakeel Ahmed is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Endocrinology, having authored 64 papers that have together received 648 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (6 papers), Antibiotic Resistance in Bacteria (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (351 citations), Animal Science and Zoology (117 citations) and Statistics and Probability (73 citations). Shakeel Ahmed has collaborated with scholars based in Bangladesh, Pakistan and Saudi Arabia. Frequent co-authors include Kenneth S. M. Li, Carol S. F. Lam, Susanna K. P. Lau, Honglin Chen, Kwok‐Yung Yuen, Alan K. L. Tsang, Kwok‐Hung Chan, Patrick C. Y. Woo, Walid Abu‐Dayyeh and Hassen A. Muttlak. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.