Selina Bhattarai
- Co-authors
- Kusum VermaKusum KapilaPatricia HarndenAnne E. KiltieMark TeoMargaret A. KnowlesFaye ElliottClaire Taylor
- Topics
- Renal cell carcinoma treatment (7 papers)Bladder and Urothelial Cancer Treatments (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Cited by
- UrologySurgeryDermatology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECancer Research
- Partner nations
- United KingdomCanadaIndia
In The Last Decade
Selina Bhattarai
19 papers receiving 370 citations
Peers
Comparison fields: 5 of 62
- Surgery 197
- Pulmonary and Respiratory Medicine 126
- Molecular Biology 99
- Oncology 71
- Urology 65
Countries citing papers authored by Selina Bhattarai
This map shows the geographic impact of Selina Bhattarai'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 Selina Bhattarai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selina Bhattarai more than expected).
Fields of papers citing papers by Selina Bhattarai
This network shows the impact of papers produced by Selina Bhattarai. 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 Selina Bhattarai. The network helps show where Selina Bhattarai may publish in the future.
Co-authorship network of co-authors of Selina Bhattarai
This figure shows the co-authorship network connecting the top 25 collaborators of Selina Bhattarai. A scholar is included among the top collaborators of Selina Bhattarai 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 Selina Bhattarai. Selina Bhattarai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 17 | |
| 12 | Multi detector Computed Tomography Pattern of Physiological Intracranial Calcification in Nepalese People | 0 |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 149 | |
| 19 | High MRE11 expression in muscle invasive bladder cancer is predictive of improved cause-specific survival following radical radiotherapy compared to surgery | 4 |
| 20 | 53 |
About Selina Bhattarai
Selina Bhattarai is a scholar working on Pulmonary and Respiratory Medicine, Biotechnology and Rheumatology, having authored 21 papers that have together received 379 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (7 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Urology (65 citations), Surgery (197 citations) and Dermatology (39 citations). Selina Bhattarai has collaborated with scholars based in United Kingdom, Canada and India. Frequent co-authors include Kusum Verma, Kusum Kapila, Patricia Harnden, Anne E. Kiltie, Mark Teo, Margaret A. Knowles, Faye Elliott, Claire Taylor, Ananya Choudhury and Robert G. Bristow. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.