Qamar J. Khan

4.8k total citations
93 papers, 1.7k citations indexed

About

Qamar J. Khan is a scholar working on Oncology, Genetics and Cancer Research. According to data from OpenAlex, Qamar J. Khan has authored 93 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 34 papers in Genetics and 30 papers in Cancer Research. Recurrent topics in Qamar J. Khan's work include Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Evolution and Genetic Dynamics (21 papers) and Breast Cancer Treatment Studies (20 papers). Qamar J. Khan is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Evolution and Genetic Dynamics (21 papers) and Breast Cancer Treatment Studies (20 papers). Qamar J. Khan collaborates with scholars based in United States, Oman and Australia. Qamar J. Khan's co-authors include Priyanka Sharma, Carol J. Fabian, Bruce F. Kimler, Anne O’Dea, Jennifer R. Klemp, David Greenhalgh, Pavan S. Reddy, Jamie L. Wagner, Andrew K. Godwin and E. V. Krishnan and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Qamar J. Khan

86 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qamar J. Khan United States 23 810 447 392 380 328 93 1.7k
Qiushi Lin United States 21 595 0.7× 295 0.7× 338 0.9× 143 0.4× 137 0.4× 38 2.3k
Cristian Tomasetti United States 17 1.1k 1.4× 537 1.2× 1.5k 3.8× 444 1.2× 133 0.4× 43 3.4k
Stanley E. Shackney United States 29 993 1.2× 404 0.9× 738 1.9× 377 1.0× 60 0.2× 96 2.6k
Tom Maishman United Kingdom 18 576 0.7× 235 0.5× 452 1.2× 212 0.6× 51 0.2× 45 1.1k
Afshin Beheshti United States 23 367 0.5× 130 0.3× 408 1.0× 203 0.5× 47 0.1× 92 1.9k
Pascal Pujol France 27 1.3k 1.6× 1.6k 3.6× 999 2.5× 250 0.7× 163 0.5× 99 3.5k
Travis Gerke United States 23 366 0.5× 156 0.3× 651 1.7× 913 2.4× 54 0.2× 91 1.7k
Andrei Y. Yakovlev United States 9 1.6k 1.9× 274 0.6× 725 1.8× 297 0.8× 102 0.3× 12 2.2k
Holly H. Gallion United States 41 944 1.2× 715 1.6× 512 1.3× 387 1.0× 342 1.0× 126 4.7k

Countries citing papers authored by Qamar J. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Qamar J. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qamar J. Khan. 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 Qamar J. Khan. The network helps show where Qamar J. Khan may publish in the future.

Co-authorship network of co-authors of Qamar J. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Qamar J. Khan. A scholar is included among the top collaborators of Qamar J. Khan 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 Qamar J. Khan. Qamar J. Khan 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.
Griffiths, Jason I., Feng Chi, Elena Farmaki, et al.. (2025). Blocking cancer-fibroblast mutualism inhibits proliferation of endocrine therapy resistant breast cancer. Molecular Systems Biology. 21(7). 825–855.
2.
Griffiths, Jason I., Patrick A. Cosgrove, Aritro Nath, et al.. (2025). Cellular interactions within the immune microenvironment underpins resistance to cell cycle inhibition in breast cancers. Nature Communications. 16(1). 2132–2132. 4 indexed citations
3.
Tannock, Ian F., Qamar J. Khan, & Tito Fojo. (2025). Why We Do Not Recommend That Women With Breast Cancer Receive Adjuvant Treatment With a CDK4/6 Inhibitor. Journal of Clinical Oncology. 43(22). 2456–2460. 5 indexed citations
4.
Stecklein, Shane R., Roberto Salgado, Anne O’Dea, et al.. (2024). NeoTRACT: Phase II trial of neoadjuvant tumor infiltrating lymphocyte- and response-adapted chemoimmunotherapy for triple-negative breast cancer (TNBC).. Journal of Clinical Oncology. 42(16_suppl). TPS629–TPS629. 3 indexed citations
5.
Larson, Kelsey E., Christa Balanoff, Lauren Nye, et al.. (2023). Use of Ultrasound and Ki–67 Proliferation Index to Predict Breast Cancer Tumor Response to Neoadjuvant Endocrine Therapy. Healthcare. 11(3). 417–417. 4 indexed citations
6.
Stecklein, Shane R., Devin C. Koestler, Nanda Kumar Yellapu, et al.. (2023). Extracellular vesicle-derived non-coding RNAs to predict outcome in patients with triple-negative breast cancer (TNBC) with residual disease (RD).. Journal of Clinical Oncology. 41(16_suppl). 578–578. 3 indexed citations
7.
8.
Stecklein, Shane R., Bruce F. Kimler, Rachel Yoder, et al.. (2023). ctDNA and residual cancer burden are prognostic in triple-negative breast cancer patients with residual disease. npj Breast Cancer. 9(1). 10–10. 16 indexed citations
9.
Griffiths, Jason I., Jinfeng Chen, Patrick A. Cosgrove, et al.. (2021). Serial single-cell genomics reveals convergent subclonal evolution of resistance as patients with early-stage breast cancer progress on endocrine plus CDK4/6 therapy. Nature Cancer. 2(6). 658–671. 41 indexed citations
10.
Amin, Amanda L., Christa Balanoff, Kelsey E. Larson, et al.. (2018). Reducing Breast Cancer-Related Lymphedema (BCRL) Through Prospective Surveillance Monitoring Using Bioimpedance Spectroscopy (BIS) and Patient Directed Self-Interventions. Annals of Surgical Oncology. 25(10). 2948–2952. 62 indexed citations
11.
Sharma, Priyanka, Vandana G. Abramson, Anne O’Dea, et al.. (2018). Clinical and biomarker results from phase I/II study of PI3K inhibitor BYL 719 (alpelisib) plus nab-paclitaxel in HER2-negative metastatic breast cancer.. Journal of Clinical Oncology. 36(15_suppl). 1018–1018. 21 indexed citations
12.
Khan, Qamar J., et al.. (2017). Prey-Predator Eco-Epidemiological Model with Nonlinear Transmission Disease. 4(1). 2 indexed citations
13.
Martín, Miguel, Luc Dirix, Joyce O’Shaughnessy, et al.. (2016). A randomized adaptive phase II/III study of buparlisib, a pan-class I PI3K inhibitor, combined with paclitaxel for the treatment of HER2– advanced breast cancer (BELLE-4). Annals of Oncology. 28(2). 313–320. 136 indexed citations
14.
Samanta, Sudip, et al.. (2016). Effect of multiple delays on the dynamics of cannibalistic prey–predator system with disease in both populations. International Journal of Biomathematics. 10(4). 1750049–1750049. 6 indexed citations
15.
Sharma, Priyanka, Bruce F. Kimler, Qamar J. Khan, et al.. (2014). Chemotherapy-induced amenorrhea (CIA) risk associated with taxane/platinum-based chemotherapy in young (≤45 years) breast cancer patients.. Journal of Clinical Oncology. 32(15_suppl). 9592–9592. 3 indexed citations
16.
Tawfik, Ossama, Bruce F. Kimler, Marilyn Davis, et al.. (2010). Clinicopathological characteristics of triple-negative invasive mammary carcinomas in African-American versus Caucasian women.. PubMed. 40(4). 315–23. 15 indexed citations
17.
Khan, Qamar J., Bruce F. Kimler, & Carol J. Fabian. (2010). The Relationship Between Vitamin D and Breast Cancer Incidence and Natural History. Current Oncology Reports. 12(2). 136–142. 25 indexed citations
18.
Greenhalgh, David & Qamar J. Khan. (2009). A delay differential equation mathematical model for the control of the hormonal system of the hypothalamus, the pituitary and the testis in man. Nonlinear Analysis. 71(12). e925–e935. 1 indexed citations
19.
Khan, Qamar J., et al.. (2007). Pulmonary Hypertension Caused by Metastatic Breast Cancer and Its Response to Antihormone Therapy and Chemotherapy. The Breast Journal. 13(5). 506–508. 3 indexed citations
20.
Khan, Qamar J., E. V. Krishnan, & Mohamed Al‐Lawatia. (2002). A Stage Structure Model for the Growth of a Population Involving Switching and Cooperation. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 82(2). 125–135. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Qiushi Lin Breakdown of academic impact, for papers by Cristian Tomasetti Breakdown of academic impact, for papers by Stanley E. Shackney Breakdown of academic impact, for papers by Tom Maishman Breakdown of academic impact, for papers by Afshin Beheshti Breakdown of academic impact, for papers by Pascal Pujol Breakdown of academic impact, for papers by Travis Gerke Breakdown of academic impact, for papers by Andrei Y. Yakovlev Breakdown of academic impact, for papers by Holly H. Gallion
Rankless by CCL
2026