Sayera Banu
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Surgery top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Shahriar AhmedStewart T. ColeMohammad Khaja Mafij UddinNadine HonoréDana J. PhilpottMarie‐Christine PrévostBrigitte Saint‐JoanisS. M. Mazidur Rahman
- Topics
- Tuberculosis Research and Epidemiology (85 papers)Mycobacterium research and diagnosis (44 papers)Pneumonia and Respiratory Infections (35 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE
- Partner nations
- BangladeshUnited StatesAustralia
In The Last Decade
Sayera Banu
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 1.9k
- Epidemiology 1.4k
- Surgery 650
- Molecular Biology 289
- Radiology, Nuclear Medicine and Imaging 208
Countries citing papers authored by Sayera Banu
This map shows the geographic impact of Sayera Banu'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 Sayera Banu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayera Banu more than expected).
Fields of papers citing papers by Sayera Banu
This network shows the impact of papers produced by Sayera Banu. 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 Sayera Banu. The network helps show where Sayera Banu may publish in the future.
Co-authorship network of co-authors of Sayera Banu
This figure shows the co-authorship network connecting the top 25 collaborators of Sayera Banu. A scholar is included among the top collaborators of Sayera Banu 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 Sayera Banu. Sayera Banu 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 | 4 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 153 | |
| 12 | 11 | |
| 13 | Distribution and Frequency of rpoB Mutations Detected by Xpert MTB/RIF Assay Among Beijing and Non-Beijing Rifampicin Resistant Mycobacterium tuberculosis Isolates in Bangladesh | 1 |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 24 | |
| 19 | 10 | |
| 20 | 36 |
About Sayera Banu
Sayera Banu is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 117 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (85 papers), Mycobacterium research and diagnosis (44 papers) and Pneumonia and Respiratory Infections (35 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Epidemiology (1.4k citations) and Health Informatics (32 citations). Sayera Banu has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Shahriar Ahmed, Stewart T. Cole, Mohammad Khaja Mafij Uddin, Nadine Honoré, Dana J. Philpott, Marie‐Christine Prévost, Brigitte Saint‐Joanis, S. M. Mazidur Rahman, Jacob Creswell and Razia Khatun. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.