Shaheena Bashir
Impact in
Papers in
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- Blood transfusion and management 2
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Girish S. Kulkarni (4 shared papers)Neil Eric Fleshner (3 shared papers)Bimal Bhindi (2 shared papers)Alexandre R. Zlotta (3 shared papers)Srikala S. Sridhar (1 shared paper)Yanliang Wei (1 shared paper)Peter J. Boström (1 shared paper)Michael A.S. Jewett (1 shared paper)
- Journals
- Canadian Journal of Surgery (2 papers)Urologic Oncology Seminars and Original Investigations (2 papers)Nature Immunology (1 paper)Canadian Journal of Cardiology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- CanadaUnited StatesPakistan
In The Last Decade
Shaheena Bashir
18 papers receiving 880 citations
Shaheena Bashir's Hit Papers
Peers
Comparison fields: 5 of 57
- Surgery 236
- Radiation 37
- Hematology 50
- Cancer Research 36
- Immunology 47
Countries citing papers authored by Shaheena Bashir
This map shows the geographic impact of Shaheena Bashir'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 Shaheena Bashir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaheena Bashir more than expected).
Fields of papers citing papers by Shaheena Bashir
This network shows the impact of papers produced by Shaheena Bashir. 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 Shaheena Bashir. The network helps show where Shaheena Bashir may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaheena Bashir, 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 | 2015 | 298 | |
| 2 | Propensity Score Analysis of Radical Cystectomy Versus Bladder-Sparing Trimodal Therapy in the Setting of a Multidisciplinary Bladder Cancer Clinic Hit paper breakdown → | 2017 | 242 |
| 3 | 2017 | 100 | |
| 4 | 2015 | 88 | |
| 5 | 2004 | 33 | |
| 6 | 2016 | 31 | |
| 7 | 2020 | 24 | |
| 8 | 2012 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2019 | 14 | |
| 11 | 2012 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2009 | 4 | |
| 15 | 2007 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2005 | 0 | |
| 20 | 2017 | 0 |
About Shaheena Bashir
Shaheena Bashir is a scholar working on Biochemistry, Artificial Intelligence, Critical Care and Intensive Care Medicine, Surgery and Hepatology, having authored 20 papers that have together received 894 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (3 papers), Blood transfusion and management (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Bariatric Surgery and Outcomes (1 paper), Hepatitis C virus research (1 paper), Acute Myeloid Leukemia Research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Surgery (236 citations), Radiation (37 citations), Hematology (50 citations), Cancer Research (36 citations) and Immunology (47 citations). Shaheena Bashir has collaborated with scholars based in Canada, United States and Pakistan. Frequent co-authors include Girish S. Kulkarni, Neil Eric Fleshner, Bimal Bhindi, Alexandre R. Zlotta, Srikala S. Sridhar, Yanliang Wei, Peter J. Boström, Michael A.S. Jewett, Thomas Hermanns and Raj Satkunasivam. Their work appears in journals such as Canadian Journal of Surgery, Urologic Oncology Seminars and Original Investigations, Nature Immunology, Canadian Journal of Cardiology and International Journal of Radiation Oncology*Biology*Physics.
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.