KM Saif‐Ur‐Rahman
- Endocrinology top 2%
- Vibrio bacteria research studies 15
- Modeling and Simulation top 5%
- Nutrition and Dietetics top 5%
- Child Nutrition and Water Access 11
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 and COVID-19 Research 7
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- Global Maternal and Child Health 8
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- Blood Pressure and Hypertension Studies 6
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- Meta-analysis and systematic reviews 6
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- Chronic Disease Management Strategies 5
- Co-authors
- Md. Maruf Ahmed MollaChristine Marie GeorgeMahamud‐ur RashidMunirul AlamShirajum MoniraDavid A. SackYoshihisa HirakawaIqbal Anwar
- Journals
- BMJ Open (10 papers)American Journal of Tropical Medicine and Hygiene (5 papers)Psychogeriatrics (4 papers)
- Partner nations
- BangladeshIrelandUnited States
In The Last Decade
KM Saif‐Ur‐Rahman
95 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 140
- Endocrinology 225
- Applied Microbiology and Biotechnology 30
- Modeling and Simulation 67
- Nutrition and Dietetics 189
- Infectious Diseases 181
Countries citing papers authored by KM Saif‐Ur‐Rahman
This map shows the geographic impact of KM Saif‐Ur‐Rahman'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 KM Saif‐Ur‐Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KM Saif‐Ur‐Rahman more than expected).
Fields of papers citing papers by KM Saif‐Ur‐Rahman
This network shows the impact of papers produced by KM Saif‐Ur‐Rahman. 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 KM Saif‐Ur‐Rahman. The network helps show where KM Saif‐Ur‐Rahman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside KM Saif‐Ur‐Rahman, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 63 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 29 | |
| 15 | 2021 | 4 | |
| 16 | Glycaemic Status of Asthma Patients Using Inhaled Fluticasone. | 2021 | 2 |
| 17 | 2021 | 59 | |
| 18 | 2021 | 16 | |
| 19 | 2021 | 3 | |
| 20 | 2019 | 22 |
About KM Saif‐Ur‐Rahman
KM Saif‐Ur‐Rahman is a scholar working on Endocrinology, Applied Microbiology and Biotechnology and Neuropsychology and Physiological Psychology, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (15 papers), Child Nutrition and Water Access (11 papers), Global Maternal and Child Health (8 papers), COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Blood Pressure and Hypertension Studies (6 papers), Meta-analysis and systematic reviews (6 papers) and Chronic Disease Management Strategies (5 papers). The work is most often cited by research in Endocrinology (225 citations), Applied Microbiology and Biotechnology (30 citations) and Modeling and Simulation (67 citations). KM Saif‐Ur‐Rahman has collaborated with scholars based in Bangladesh, Ireland and United States. Frequent co-authors include Md. Maruf Ahmed Molla, Christine Marie George, Mahamud‐ur Rashid, Munirul Alam, Shirajum Monira, David A. Sack, Yoshihisa Hirakawa, Iqbal Anwar, Zillur Rahman and Md Shariful Islam. Their work appears in journals such as BMJ Open, American Journal of Tropical Medicine and Hygiene, Psychogeriatrics, Journal of Evidence-Based Medicine and Journal of Clinical Epidemiology.
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.