Murtuza Bharmal

2.5k total citations
86 papers, 1.8k citations indexed

About

Murtuza Bharmal is a scholar working on Oncology, Electrical and Electronic Engineering and Surgery. According to data from OpenAlex, Murtuza Bharmal has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Oncology, 27 papers in Electrical and Electronic Engineering and 18 papers in Surgery. Recurrent topics in Murtuza Bharmal's work include Polyomavirus and related diseases (42 papers), Full-Duplex Wireless Communications (25 papers) and Bladder and Urothelial Cancer Treatments (17 papers). Murtuza Bharmal is often cited by papers focused on Polyomavirus and related diseases (42 papers), Full-Duplex Wireless Communications (25 papers) and Bladder and Urothelial Cancer Treatments (17 papers). Murtuza Bharmal collaborates with scholars based in United States, Germany and United Kingdom. Murtuza Bharmal's co-authors include Joseph Thomas, Shital Kamble, Michael Calloway, Richard P. Allen, Jürgen C. Becker, E. Gemmen, Dirk Schadendorf, Lisa Mahnke, Célèste Lebbé and Hariharan Subramanian and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Murtuza Bharmal

80 papers receiving 1.8k citations

Peers

Murtuza Bharmal
E. Margaret Warton United States
Susan R. Mendley United States
Mark B. Lockwood United States
Suzanne F. Cook United States
E. Margaret Warton United States
Murtuza Bharmal
Citations per year, relative to Murtuza Bharmal Murtuza Bharmal (= 1×) peers E. Margaret Warton

Countries citing papers authored by Murtuza Bharmal

Since Specialization
Citations

This map shows the geographic impact of Murtuza Bharmal'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 Murtuza Bharmal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murtuza Bharmal more than expected).

Fields of papers citing papers by Murtuza Bharmal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murtuza Bharmal. 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 Murtuza Bharmal. The network helps show where Murtuza Bharmal may publish in the future.

Co-authorship network of co-authors of Murtuza Bharmal

This figure shows the co-authorship network connecting the top 25 collaborators of Murtuza Bharmal. A scholar is included among the top collaborators of Murtuza Bharmal 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 Murtuza Bharmal. Murtuza Bharmal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Mbous, Yves Paul Vincent, et al.. (2024). Predictive and Interpretable Machine Learning of Economic Burden: The Role of Chronic Conditions Among Elderly Patients with Incident Primary Merkel Cell Carcinoma (MCC). ClinicoEconomics and Outcomes Research. Volume 16. 847–868. 1 indexed citations
4.
Marrel, Alexia, et al.. (2023). Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data. JMIR Cancer. 9. e45011–e45011. 2 indexed citations
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Bhatia, Shailender, et al.. (2022). Real-world clinical outcomes with avelumab in patients with Merkel cell carcinoma treated in the USA: a multicenter chart review study. Journal for ImmunoTherapy of Cancer. 10(8). e004904–e004904. 25 indexed citations
7.
Hatswell, Anthony J., Ash Bullement, Michael Schlichting, & Murtuza Bharmal. (2020). What is the Impact of the Analysis Method Used for Health State Utility Values on QALYs in Oncology? A Simulation Study Comparing Progression-Based and Time-to-Death Approaches. Applied Health Economics and Health Policy. 19(3). 389–401. 6 indexed citations
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Bullement, Ash, et al.. (2019). Cost Effectiveness of Avelumab for Metastatic Merkel Cell Carcinoma. PharmacoEconomics - Open. 3(3). 377–390. 19 indexed citations
10.
Bharmal, Murtuza, Matthias Hünger, & Michael Schlichting. (2019). Psychometric Properties of EQ-5D-5L Scoring Algorithms for the United Kingdom in Metastatic Merkel Cell Carcinoma. Value in Health. 22(10). 1170–1177. 2 indexed citations
12.
Proskorovsky, Irina, Tereza Lanitis, Matthias Hünger, et al.. (2018). Projecting Overall Survival (OS) With Immuno-Oncology (IO) Treatments: Application of Alternative Approaches in Metastatic Merkel Cell Carcinoma (MMCC). Value in Health. 21. S6–S6. 1 indexed citations
14.
Kearney, Mairead, Dario Esposito, Leo Russo, et al.. (2018). Locally Advanced Or Metastatic Urothelial Carcinoma In The United States: Economic Burden And Healthcare Utilization. Value in Health. 21. S45–S45. 3 indexed citations
15.
Kearney, Mairead, et al.. (2018). PCN127 - DIRECT HEALTHCARE COSTS BY TREATMENT AMONG PATIENTS WITH MERKEL CELL CARCINOMA (MCC) IN THE UNITED STATES. Value in Health. 21. S36–S36. 1 indexed citations
18.
Becker, Jan U., et al.. (2016). Evaluation of real world treatment outcomes in patients with metastatic merkel cell carcinoma (MCC) following second line chemotherapy. Annals of Oncology. 27. vi397–vi397. 6 indexed citations
19.
Bharmal, Murtuza, Seema D. Dedhiya, Bruce Α. Craig, et al.. (2011). Incremental Dementia-Related Expenditures in a Medicaid Population. American Journal of Geriatric Psychiatry. 20(1). 73–83. 17 indexed citations

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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