Shaheena Bashir

1.2k citations
26 papers · 561 · h-index 11

Impact in

  • Urology top 5%
    • Urological Disorders and Treatments
    • Bladder and Urothelial Cancer Treatments
    • Urinary and Genital Oncology Studies
    • Esophageal Cancer Research and Treatment

Papers in

Shaheena Bashir

23 papers receiving 555 citations

Peers

Shaheena Bashir
Comparison fields: 5 of 97
  • Urology 104
  • Surgery 268
  • Oncology 95
  • Statistics and Probability 26
  • Immunology 66
Replace Anil Tailor with:
Anil Tailor United Kingdom
Ugo Giovanni Falagario Italy
Amir H. Lebastchi United States
Claude Clément Abbou France
Giovanni Novella Italy
Sang Eun Lee South Korea
Charles Van Praet Belgium
Boris Gershman United States
D B Siders United States
Emanuele Zaffuto Italy
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Citations per field
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Anil Tailor · 1×
Citations per year

Countries citing papers authored by Shaheena Bashir

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shaheena Bashir Line = papers co-authored together Shaheena Bashir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 201791
3 201581
4 201628
5 200427
6 201520
7 201718
8 201217
9 201712
10 201411
11 201910
12 20187
13 20127
14 20197
15 20195
16 20094
17 19934
18 20173
19 20162
20 19931

About Shaheena Bashir

Shaheena Bashir is a scholar working on Surgery, Molecular Biology, Statistics and Probability, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 561 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (6 papers), Advanced Statistical Methods and Models (4 papers), Advanced Statistical Process Monitoring (3 papers), Urinary and Genital Oncology Studies (3 papers), Bayesian Methods and Mixture Models (3 papers), Glaucoma and retinal disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Urology (104 citations), Surgery (268 citations), Oncology (95 citations), Statistics and Probability (26 citations) and Immunology (66 citations). Shaheena Bashir has collaborated with scholars based in Canada, United States and Pakistan. Frequent co-authors include Girish S. Kulkarni, Alexandre R. Zlotta, Bimal Bhindi, Neil Fleshner, Kathy Li, Srikala S. Sridhar, Yanliang Wei, Raj Satkunasivam, Peter J. Boström and Peter Chung. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Urologic Oncology Seminars and Original Investigations, International Journal of Radiation Oncology*Biology*Physics and BMC Gastroenterology.

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.

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