Ayesha A. Shafi

1.6k total citations
17 papers, 912 citations indexed

About

Ayesha A. Shafi is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ayesha A. Shafi has authored 17 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ayesha A. Shafi's work include Prostate Cancer Treatment and Research (8 papers), Hormonal and reproductive studies (5 papers) and Circadian rhythm and melatonin (3 papers). Ayesha A. Shafi is often cited by papers focused on Prostate Cancer Treatment and Research (8 papers), Hormonal and reproductive studies (5 papers) and Circadian rhythm and melatonin (3 papers). Ayesha A. Shafi collaborates with scholars based in United States, Pakistan and Netherlands. Ayesha A. Shafi's co-authors include Nancy L. Weigel, Aihua Edward Yen, Karen E. Knudsen, William C. Krause, Manjula Nakka, Marc B. Cox, Matthew J. Schiewer, Emanuela Dylgjeri, Christopher McNair and Peter Gallagher and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Ayesha A. Shafi

16 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayesha A. Shafi United States 11 449 401 211 171 156 17 912
Bruna V. Jardim‐Perassi Brazil 18 356 0.8× 119 0.3× 156 0.7× 359 2.1× 138 0.9× 28 1.0k
Fabin Dang China 10 457 1.0× 114 0.3× 116 0.5× 199 1.2× 243 1.6× 12 906
Rubén W. Carón Argentina 16 452 1.0× 170 0.4× 187 0.9× 20 0.1× 264 1.7× 45 1.0k
Néstor Prieto‐Domínguez Spain 12 466 1.0× 86 0.2× 151 0.7× 153 0.9× 118 0.8× 12 774
Hai-Lian Bi China 17 534 1.2× 52 0.1× 117 0.6× 101 0.6× 147 0.9× 27 848
Viswanathan Raghuram United States 20 1.0k 2.3× 470 1.2× 28 0.1× 50 0.3× 63 0.4× 41 1.4k
Erik Schoenmakers United Kingdom 22 670 1.5× 241 0.6× 84 0.4× 86 0.5× 67 0.4× 41 1.4k
Xueran Chen China 19 729 1.6× 114 0.3× 320 1.5× 80 0.5× 162 1.0× 45 1.1k
Annakaisa M. Herrala Finland 14 309 0.7× 121 0.3× 60 0.3× 27 0.2× 78 0.5× 22 706
Vincent Vuaroqueaux France 16 472 1.1× 83 0.2× 177 0.8× 24 0.1× 268 1.7× 36 868

Countries citing papers authored by Ayesha A. Shafi

Since Specialization
Citations

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

Fields of papers citing papers by Ayesha A. Shafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ayesha A. Shafi. 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 Ayesha A. Shafi. The network helps show where Ayesha A. Shafi may publish in the future.

Co-authorship network of co-authors of Ayesha A. Shafi

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

All Works

17 of 17 papers shown
1.
Cobbs, Charles, Gregory T. Chesnut, & Ayesha A. Shafi. (2025). Understanding Racial Disparities in Prostate Cancer: A Multifaceted Approach. Cancer Medicine. 14(11). e70979–e70979. 1 indexed citations
2.
3.
Slovin, Susan F., Karen E. Knudsen, Susan Halabi, et al.. (2023). Randomized Phase II Multicenter Trial of Abiraterone Acetate With or Without Cabazitaxel in the Treatment of Metastatic Castration-Resistant Prostate Cancer. Journal of Clinical Oncology. 41(32). 5015–5024. 3 indexed citations
4.
Chesnut, Gregory T., et al.. (2023). Time Matters: Importance of Circadian Rhythms, Disruption, and Chronotherapy in Urologic Malignancies. Urology. 175. 6–12. 2 indexed citations
5.
Anwar, Fareeha, et al.. (2023). The wound healing potential of Hedychium spicatum Sm. and Zinnia peruviana (L.) ethanolic extracts against excision wound model in rats. Journal of Ethnopharmacology. 311. 116404–116404. 2 indexed citations
6.
Basil, Paul, Matthew J. Robertson, William E. Bingman, et al.. (2022). Cistrome and transcriptome analysis identifies unique androgen receptor (AR) and AR-V7 splice variant chromatin binding and transcriptional activities. Scientific Reports. 12(1). 5351–5351. 18 indexed citations
7.
Rizwani, Ghazala H, Arjumand Iqbal Durrani, Uzma Hanif, et al.. (2022). Establishment of pharmacognostic standards of different morphological parts of Camellia sinensis L. grown in Pakistan. Pakistan Journal of Botany. 54(4). 2 indexed citations
8.
Shafi, Ayesha A., Christopher McNair, Jennifer J. McCann, et al.. (2021). The circadian cryptochrome, CRY1, is a pro-tumorigenic factor that rhythmically modulates DNA repair. Nature Communications. 12(1). 401–401. 79 indexed citations
9.
McCann, Jennifer J., Irina A. Vasilevskaya, Christopher McNair, et al.. (2021). Mutant p53 elicits context-dependent pro-tumorigenic phenotypes. Oncogene. 41(3). 444–458. 21 indexed citations
10.
Shafi, Ayesha A. & Karen E. Knudsen. (2019). Cancer and the Circadian Clock. Cancer Research. 79(15). 3806–3814. 167 indexed citations
11.
McCann, Jennifer J., Irina A. Vasilevskaya, Neermala Poudel Neupane, et al.. (2019). USP22 Functions as an Oncogenic Driver in Prostate Cancer by Regulating Cell Proliferation and DNA Repair. Cancer Research. 80(3). 430–443. 46 indexed citations
12.
Shafi, Ayesha A., Matthew J. Schiewer, Renée de Leeuw, et al.. (2018). Patient-derived Models Reveal Impact of the Tumor Microenvironment on Therapeutic Response. European Urology Oncology. 1(4). 325–337. 35 indexed citations
13.
Shafi, Ayesha A., Vasanta Putluri, James M. Arnold, et al.. (2015). Differential regulation of metabolic pathways by androgen receptor (AR) and its constitutively active splice variant, AR-V7, in prostate cancer cells. Oncotarget. 6(31). 31997–32012. 69 indexed citations
14.
Krause, William C., Ayesha A. Shafi, Manjula Nakka, & Nancy L. Weigel. (2014). Androgen receptor and its splice variant, AR-V7, differentially regulate FOXA1 sensitive genes in LNCaP prostate cancer cells. The International Journal of Biochemistry & Cell Biology. 54. 49–59. 67 indexed citations
15.
Shafi, Ayesha A., Marc B. Cox, & Nancy L. Weigel. (2013). Androgen receptor splice variants are resistant to inhibitors of Hsp90 and FKBP52, which alter androgen receptor activity and expression. Steroids. 78(6). 548–554. 47 indexed citations
16.
Shafi, Ayesha A., Aihua Edward Yen, & Nancy L. Weigel. (2013). Androgen receptors in hormone-dependent and castration-resistant prostate cancer. Pharmacology & Therapeutics. 140(3). 223–238. 303 indexed citations
17.
He, Suqin, Chaohua Zhang, Ayesha A. Shafi, et al.. (2012). Potent activity of the Hsp90 inhibitor ganetespib in prostate cancer cells irrespective of androgen receptor status or variant receptor expression. International Journal of Oncology. 42(1). 35–43. 50 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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