Sabira Tahseen
- Infectious Diseases top 5%
- Epidemiology top 10%
- Surgery
- Molecular Biology
- Molecular Medicine top 10%
- Co-authors
- Daniela María CirilloFaisal Masood KhanzadaAnna DeanMatteo ZignolNazir IsmailS. M. Mostofa KamalAlena SkrahinaStefan Niemann
- Topics
- Tuberculosis Research and Epidemiology (38 papers)Mycobacterium research and diagnosis (22 papers)Pneumocystis jirovecii pneumonia detection and treatment (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- PakistanUnited KingdomUnited States
In The Last Decade
Sabira Tahseen
37 papers receiving 647 citations
Peers
Comparison fields: 5 of 83
- Infectious Diseases 548
- Epidemiology 452
- Surgery 217
- Molecular Biology 116
- Molecular Medicine 42
Countries citing papers authored by Sabira Tahseen
This map shows the geographic impact of Sabira Tahseen'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 Sabira Tahseen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabira Tahseen more than expected).
Fields of papers citing papers by Sabira Tahseen
This network shows the impact of papers produced by Sabira Tahseen. 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 Sabira Tahseen. The network helps show where Sabira Tahseen may publish in the future.
Co-authorship network of co-authors of Sabira Tahseen
This figure shows the co-authorship network connecting the top 25 collaborators of Sabira Tahseen. A scholar is included among the top collaborators of Sabira Tahseen 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 Sabira Tahseen. Sabira Tahseen 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 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 38 | |
| 9 | 74 | |
| 10 | 41 | |
| 11 | 9 | |
| 12 | 80 | |
| 13 | 46 | |
| 14 | 10 | |
| 15 | 18 | |
| 16 | 49 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | Expression and Purification of Mycobacterium tuberculosis Antigens for Use in Immunoassays for Serodetection of M. tuberculosis Infection in TB Patients | 1 |
| 20 | 21 |
About Sabira Tahseen
Sabira Tahseen is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 42 papers that have together received 663 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (22 papers) and Pneumocystis jirovecii pneumonia detection and treatment (10 papers). The work is most often cited by research in Infectious Diseases (548 citations), Epidemiology (452 citations) and Molecular Medicine (42 citations). Sabira Tahseen has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Daniela María Cirillo, Faisal Masood Khanzada, Anna Dean, Matteo Zignol, Nazir Ismail, S. M. Mostofa Kamal, Alena Skrahina, Stefan Niemann, Tehmina Mustafa and Maha Farhat. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.