Hasan Mirza

801 total citations
19 papers, 198 citations indexed

About

Hasan Mirza is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hasan Mirza has authored 19 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hasan Mirza's work include Cancer Genomics and Diagnostics (7 papers), Ovarian cancer diagnosis and treatment (4 papers) and Reproductive Biology and Fertility (2 papers). Hasan Mirza is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Ovarian cancer diagnosis and treatment (4 papers) and Reproductive Biology and Fertility (2 papers). Hasan Mirza collaborates with scholars based in United Kingdom, United States and Pakistan. Hasan Mirza's co-authors include Anita Grigoriadis, Christopher J. Lord, Andrew Tutt, Swapnil Rane, Sarah E. Pinder, Giusy Tornillo, Matthew J. Smalley, Niamh E. Buckley, Iskander Aurrekoetxea-Rodríguez and María dM Vivanco and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and Cancer Research.

In The Last Decade

Hasan Mirza

13 papers receiving 196 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hasan Mirza United Kingdom 8 97 93 61 33 31 19 198
Karen Willekens Belgium 5 122 1.3× 153 1.6× 61 1.0× 25 0.8× 22 0.7× 8 251
Divya Kriplani United Kingdom 5 74 0.8× 96 1.0× 31 0.5× 36 1.1× 37 1.2× 8 155
Karen K. Mauland Norway 9 108 1.1× 69 0.7× 58 1.0× 48 1.5× 85 2.7× 13 259
Andrew K. Godwin United States 3 44 0.5× 146 1.6× 73 1.2× 47 1.4× 44 1.4× 3 238
Phuong Dinh Australia 7 86 0.9× 57 0.6× 36 0.6× 21 0.6× 26 0.8× 8 166
Filipe Correia Martins United Kingdom 4 86 0.9× 127 1.4× 74 1.2× 21 0.6× 56 1.8× 15 216
Yasuko Oguri Japan 9 74 0.8× 129 1.4× 60 1.0× 43 1.3× 39 1.3× 20 229
Edyta Vieth United States 7 72 0.7× 267 2.9× 113 1.9× 38 1.2× 22 0.7× 7 328
Valerie Heong Singapore 10 135 1.4× 107 1.2× 48 0.8× 32 1.0× 74 2.4× 25 243
Imre Pete Hungary 10 78 0.8× 110 1.2× 58 1.0× 28 0.8× 89 2.9× 22 261

Countries citing papers authored by Hasan Mirza

Since Specialization
Citations

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

Fields of papers citing papers by Hasan Mirza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hasan Mirza

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

All Works

19 of 19 papers shown
1.
García, Edwin, Aleksandar P. Ivanov, Joshua B. Edel, et al.. (2025). Assessing PARP trapping dynamics in ovarian cancer using a CRISPR-engineered FRET biosensor. Cell Reports Methods. 6(1). 101270–101270.
2.
Haddow, Lewis, et al.. (2025). British Association for Sexual Health and HIV National Guideline on the Management of Scabies in adults 2025. International Journal of STD & AIDS. 36(7). 516–532.
3.
4.
Ennis, Darren, Bingxin Lu, Hasan Mirza, et al.. (2024). The genomic trajectory of ovarian high‐grade serous carcinoma can be observed in STIC lesions. The Journal of Pathology. 264(1). 42–54. 6 indexed citations
5.
Banerjee, Susana, Gaia Giannone, Andrew R. Clamp, et al.. (2023). Efficacy and Safety of Weekly Paclitaxel Plus Vistusertib vs Paclitaxel Alone in Patients With Platinum-Resistant Ovarian High-Grade Serous Carcinoma. JAMA Oncology. 9(5). 675–675. 13 indexed citations
6.
Mirza, Hasan, Darren Ennis, Philip Smith, et al.. (2022). The Genomic Landscape of Early-Stage Ovarian High-Grade Serous Carcinoma. Clinical Cancer Research. 28(13). 2911–2922. 28 indexed citations
7.
Xia, Weiyi, et al.. (2022). INPATIENT HOSPITAL MORTALITY IN TAKOTSUBO CARDIOMYOPATHY (TCM): INSIGHTS FROM THE NATIONAL INPATIENT SAMPLE. Journal of the American College of Cardiology. 79(9). 1153–1153.
8.
Mirza, Hasan, Weiyi Xia, Sundeep Kumar, et al.. (2022). INPATIENT HOSPITAL MORTALITY IN SPONTANEOUS CORONARY ARTERY DISSECTION (SCAD). Journal of the American College of Cardiology. 79(9). 1169–1169.
9.
Mirza, Hasan, et al.. (2022). A Review of Left Ventricular Noncompaction cardiomyopathy (LVNC). Journal of Community Hospital Internal Medicine Perspectives. 12(6). 51–63. 7 indexed citations
10.
Mirza, Hasan, Iain A. McNeish, Weini Huang, et al.. (2022). A novel cell line panel reveals non-genetic mediators of platinum resistance and phenotypic diversity in high grade serous ovarian cancer. Gynecologic Oncology. 167(1). 96–106. 4 indexed citations
11.
Mirza, Hasan, et al.. (2021). Lung Ventilation Perfusion Scan (VQ Scan). 7 indexed citations
12.
Naidoo, Kuban D., Patty T. Wai, Sarah Maguire, et al.. (2018). Evaluation of CDK12 Protein Expression as a Potential Novel Biomarker for DNA Damage Response–Targeted Therapies in Breast Cancer. Molecular Cancer Therapeutics. 17(1). 306–315. 54 indexed citations
13.
Quist, Jelmar, Hasan Mirza, Maggie C.U. Cheang, et al.. (2018). A Four-gene Decision Tree Signature Classification of Triple-negative Breast Cancer: Implications for Targeted Therapeutics. Molecular Cancer Therapeutics. 18(1). 204–212. 20 indexed citations
14.
Tornillo, Giusy, Howard Kendrick, Hasan Mirza, et al.. (2018). Dual Mechanisms of LYN Kinase Dysregulation Drive Aggressive Behavior in Breast Cancer Cells. Cell Reports. 25(13). 3674–3692.e10. 38 indexed citations
15.
Ferro, Riccardo, Pierfrancesco Marra, Ana M. Mendes‐Pereira, et al.. (2018). Abstract 443: The anion channel GPHR/GPR89 regulates protein-folding homeostasis by regulating the IRE1α pathway in breast cancer. Cancer Research. 78(13_Supplement). 443–443. 1 indexed citations
16.
Quist, Jelmar, Hasan Mirza, Maggie C.U. Cheang, et al.. (2017). Association of a four-gene decision tree signature with response to platinum-based chemotherapy in patients with triple negative breast cancer.. Journal of Clinical Oncology. 35(15_suppl). 1006–1006.
17.
Rane, Swapnil, Hasan Mirza, Anita Grigoriadis, & Sarah E. Pinder. (2015). Selection and evolution in the genomic landscape of copy number alterations in ductal carcinoma in situ (DCIS) and its progression to invasive carcinoma of ductal/no special type: a meta-analysis. Breast Cancer Research and Treatment. 153(1). 101–121. 17 indexed citations
18.
Bokhari, Habib, Maryam Anwar, Hasan Mirza, & Patrick M. Gillevet. (2011). Evidences of lateral gene transfer between archaea and pathogenic bacteri. Bioinformation. 6(8). 293–296. 2 indexed citations
19.
Mirza, Hasan, Maryam Anwar, & Shahid H. Bokhari. (2010). In silico identification of potential horizontal gene transfer events between archaea and pathogenic bacteria. 2(3). 36–41.

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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