Qamar J. Khan
- Oncology top 5%
- Genetics top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Priyanka SharmaCarol J. FabianBruce F. KimlerAnne O’DeaJennifer R. KlempDavid GreenhalghPavan S. ReddyJamie L. Wagner
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (25 papers)Evolution and Genetic Dynamics (21 papers)Breast Cancer Treatment Studies (20 papers)
- Partner nations
- United StatesOmanAustralia
In The Last Decade
Qamar J. Khan
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Oncology 810
- Genetics 447
- Cancer Research 392
- Pulmonary and Respiratory Medicine 380
- Public Health, Environmental and Occupational Health 328
Countries citing papers authored by Qamar J. Khan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 41 | |
| 9 | 62 | |
| 10 | Prey-Predator Eco-Epidemiological Model with Nonlinear Transmission Disease | 2 |
| 11 | 36 | |
| 12 | 1 | |
| 13 | Clinicopathological characteristics of triple-negative invasive mammary carcinomas in African-American versus Caucasian women. | 15 |
| 14 | 25 | |
| 15 | 146 | |
| 16 | 47 | |
| 17 | 32 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 40 |
About Qamar J. Khan
Qamar J. Khan is a scholar working on Cancer Research, Oncology and Genetics, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Evolution and Genetic Dynamics (21 papers) and Breast Cancer Treatment Studies (20 papers). The work is most often cited by research in Modeling and Simulation (171 citations), Oncology (810 citations) and Cancer Research (392 citations). Qamar J. Khan has collaborated with scholars based in United States, Oman and Australia. Frequent 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. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.
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.