Zafar Nawaz
- Molecular Biology top 1%
- Genetics top 0.2%
- Oncology top 2%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- Bert W. O’MalleyDavid M. LonardCarolyn L. SmithMing‐Jer TsaiC. SmithSophia Y. TsaiSalman M. HyderGeorge M. Stancel
- Topics
- Estrogen and related hormone effects (38 papers)Ubiquitin and proteasome pathways (22 papers)Retinoids in leukemia and cellular processes (16 papers)
- Cited by
- GeneticsMolecular BiologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesQatarPakistan
In The Last Decade
Zafar Nawaz
111 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 4.8k
- Genetics 3.9k
- Oncology 1.3k
- Cancer Research 732
- Immunology 606
Countries citing papers authored by Zafar Nawaz
This map shows the geographic impact of Zafar Nawaz'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 Zafar Nawaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zafar Nawaz more than expected).
Fields of papers citing papers by Zafar Nawaz
This network shows the impact of papers produced by Zafar Nawaz. 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 Zafar Nawaz. The network helps show where Zafar Nawaz may publish in the future.
Co-authorship network of co-authors of Zafar Nawaz
This figure shows the co-authorship network connecting the top 25 collaborators of Zafar Nawaz. A scholar is included among the top collaborators of Zafar Nawaz 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 Zafar Nawaz. Zafar Nawaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 140 | |
| 6 | 19 | |
| 7 | 19 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 51 | |
| 11 | 5 | |
| 12 | 50 | |
| 13 | 159 | |
| 14 | Complex agonist-like properties of ICI 182,780 (Faslodex) in human breast cancer cells that predominantly express progesterone receptor-B: implications for treatment resistance. | 9 |
| 15 | 74 | |
| 16 | 85 | |
| 17 | 475 | |
| 18 | 109 | |
| 19 | 497 | |
| 20 | 10 |
About Zafar Nawaz
Zafar Nawaz is a scholar working on Genetics, Molecular Biology and Hematology, having authored 113 papers that have together received 7.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (38 papers), Ubiquitin and proteasome pathways (22 papers) and Retinoids in leukemia and cellular processes (16 papers). The work is most often cited by research in Genetics (3.9k citations), Molecular Biology (4.8k citations) and Oncology (1.3k citations). Zafar Nawaz has collaborated with scholars based in United States, Qatar and Pakistan. Frequent co-authors include Bert W. O’Malley, David M. Lonard, Carolyn L. Smith, Ming‐Jer Tsai, C. Smith, Sophia Y. Tsai, Salman M. Hyder, George M. Stancel, Donald P. McDonnell and Sheikh Riazuddin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.