Kasra Yousefi

3.2k total citations
64 papers, 1.6k citations indexed

About

Kasra Yousefi is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Kasra Yousefi has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pulmonary and Respiratory Medicine, 18 papers in Cancer Research and 15 papers in Molecular Biology. Recurrent topics in Kasra Yousefi's work include Prostate Cancer Treatment and Research (46 papers), Prostate Cancer Diagnosis and Treatment (35 papers) and Molecular Biology Techniques and Applications (12 papers). Kasra Yousefi is often cited by papers focused on Prostate Cancer Treatment and Research (46 papers), Prostate Cancer Diagnosis and Treatment (35 papers) and Molecular Biology Techniques and Applications (12 papers). Kasra Yousefi collaborates with scholars based in United States, Canada and Spain. Kasra Yousefi's co-authors include Elai Davicioni, Voleak Choeurng, Robert B. Den, Ashley E. Ross, Adam P. Dicker, Edward M. Schaeffer, Eric A. Klein, Zaid Haddad, Christine Buerki and R. Jeffrey Karnes and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Kasra Yousefi

62 papers receiving 1.5k citations

Peers

Kasra Yousefi
Gabrielle Fisher United Kingdom
Shinta Cheng United States
Julie S. Larsen United States
R. Nam Canada
Zaina Sangale United States
Shakun Malik United States
Gabrielle Fisher United Kingdom
Kasra Yousefi
Citations per year, relative to Kasra Yousefi Kasra Yousefi (= 1×) peers Gabrielle Fisher

Countries citing papers authored by Kasra Yousefi

Since Specialization
Citations

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

Fields of papers citing papers by Kasra Yousefi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kasra Yousefi

This figure shows the co-authorship network connecting the top 25 collaborators of Kasra Yousefi. A scholar is included among the top collaborators of Kasra Yousefi 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 Kasra Yousefi. Kasra Yousefi 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
1.
Xu, Tao, Ahmed Sawas, Wan‐Jen Hong, et al.. (2023). RWD-derived response in multiple myeloma. PLoS ONE. 18(5). e0285125–e0285125. 1 indexed citations
2.
Gerke, Travis, Himisha Beltran, Xiaodong Wang, et al.. (2018). Low Tristetraprolin Expression Is Associated with Lethal Prostate Cancer. Cancer Epidemiology Biomarkers & Prevention. 28(3). 584–590. 3 indexed citations
3.
Guedes, Liana B., Fawaz Almutairi, Michael C. Haffner, et al.. (2017). Analytic, Preanalytic, and Clinical Validation of p53 IHC for Detection of TP53 Missense Mutation in Prostate Cancer. Clinical Cancer Research. 23(16). 4693–4703. 62 indexed citations
4.
Torres, Alba, Mohammed Alshalalfa, Scott A. Tomlins, et al.. (2017). Comprehensive Determination of Prostate Tumor ETS Gene Status in Clinical Samples Using the CLIA Decipher Assay. Journal of Molecular Diagnostics. 19(3). 475–484. 11 indexed citations
5.
Sharma, Vidit, Kasra Yousefi, Zaid Haddad, et al.. (2017). Gene Expression Correlates of Site-specific Metastasis Among Men With Lymph Node Positive Prostate Cancer Treated With Radical Prostatectomy: A Case Series. Urology. 112. 29–32. 2 indexed citations
6.
Wahl, Daniel, Paul L. Nguyen, Kasra Yousefi, et al.. (2017). Pan-Cancer Analysis of Genomic Sequencing Among the Elderly. International Journal of Radiation Oncology*Biology*Physics. 98(4). 726–732. 8 indexed citations
7.
Sweeney, Christopher J., Travis Gerke, Himisha Beltran, et al.. (2017). Association of loss of tumor suppressor ZFP36 with lethal prostate cancer.. Journal of Clinical Oncology. 35(15_suppl). 5062–5062. 1 indexed citations
8.
Karnes, R. Jeffrey, Voleak Choeurng, Ashley E. Ross, et al.. (2017). Validation of a Genomic Risk Classifier to Predict Prostate Cancer-specific Mortality in Men with Adverse Pathologic Features. European Urology. 73(2). 168–175. 42 indexed citations
9.
Den, Robert B., Elai Davicioni, Mandeep Takhar, et al.. (2016). The Frequency of Druggable Targets in Localized Prostate Cancer: Initial Analysis From a Commercially Available Genomic Expression Database in Urologic Cancer. International Journal of Radiation Oncology*Biology*Physics. 96(2). E251–E252. 1 indexed citations
10.
Freedland, Stephen J., Voleak Choeurng, Lauren E. Howard, et al.. (2016). Utilization of a Genomic Classifier for Prediction of Metastasis Following Salvage Radiation Therapy after Radical Prostatectomy. European Urology. 70(4). 588–596. 51 indexed citations
11.
Faraj, Sheila F., Stephania Martins Bezerra, Kasra Yousefi, et al.. (2016). Clinical Validation of the 2005 ISUP Gleason Grading System in a Cohort of Intermediate and High Risk Men Undergoing Radical Prostatectomy. PLoS ONE. 11(1). e0146189–e0146189. 11 indexed citations
12.
Klein, Eric A., Zaid Haddad, Kasra Yousefi, et al.. (2016). Decipher Genomic Classifier Measured on Prostate Biopsy Predicts Metastasis Risk. Urology. 90. 148–152. 121 indexed citations
13.
Kane, Christopher, Kasra Yousefi, Zaid Haddad, et al.. (2016). Evaluation of a genomic classifier in radical prostatectomy patients with lymph node metastasis. Research and Reports in Urology. Volume 8. 77–84. 13 indexed citations
14.
Den, Robert B., Voleak Choeurng, Lauren E. Howard, et al.. (2015). Validation of a Genomic Classifier for Prediction of Metastasis Following Postoperative Salvage Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 93(3). S134–S134.
15.
Nguyen, Paul L., Heesun Shin, Kasra Yousefi, et al.. (2015). Impact of a Genomic Classifier of Metastatic Risk on Postprostatectomy Treatment Recommendations by Radiation Oncologists and Urologists. Urology. 86(1). 35–40. 18 indexed citations
16.
Ross, Ashley E., Kasra Yousefi, Elai Davicioni, et al.. (2015). Utility of Risk Models in Decision Making After Radical Prostatectomy: Lessons from a Natural History Cohort of Intermediate- and High-Risk Men. European Urology. 69(3). 496–504. 21 indexed citations
17.
Ross, Ashley E., Michael H. Johnson, Kasra Yousefi, et al.. (2015). Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men. European Urology. 69(1). 157–165. 157 indexed citations
18.
Tomlins, Scott A., Mohammed Alshalalfa, Elai Davicioni, et al.. (2015). Characterization of 1577 Primary Prostate Cancers Reveals Novel Biological and Clinicopathologic Insights into Molecular Subtypes. European Urology. 68(4). 555–567. 101 indexed citations
20.
Yohannes, Paulos, et al.. (2014). Influence of a genomic classifier on post-operative treatment decisions in high-risk prostate cancer patients: results from the PRO-ACT study. Current Medical Research and Opinion. 30(8). 1547–1556. 27 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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