Farah Zia
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Complementary and alternative medicine top 5%
- Reproductive Medicine top 10%
- Co-authors
- Terry W. MoodyMirela O. FágárásanMuriel DraouiOluwadamilola OlakuIllana GozesAriane DavidsonDouglas E. BrennemanMati Fridkin
- Topics
- Neuropeptides and Animal Physiology (10 papers)Receptor Mechanisms and Signaling (7 papers)Chemical Synthesis and Analysis (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceComplementary and alternative medicineReproductive Medicine
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyClinical Cancer Research
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Farah Zia
26 papers receiving 844 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 372
- Cellular and Molecular Neuroscience 372
- Oncology 242
- Complementary and alternative medicine 108
- Reproductive Medicine 82
Countries citing papers authored by Farah Zia
This map shows the geographic impact of Farah Zia'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 Farah Zia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farah Zia more than expected).
Fields of papers citing papers by Farah Zia
This network shows the impact of papers produced by Farah Zia. 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 Farah Zia. The network helps show where Farah Zia may publish in the future.
Co-authorship network of co-authors of Farah Zia
This figure shows the co-authorship network connecting the top 25 collaborators of Farah Zia. A scholar is included among the top collaborators of Farah Zia 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 Farah Zia. Farah Zia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 25 | |
| 4 | 34 | |
| 5 | 30 | |
| 6 | 54 | |
| 7 | 18 | |
| 8 | 25 | |
| 9 | 31 | |
| 10 | 20 | |
| 11 | 42 | |
| 12 | 33 | |
| 13 | 23 | |
| 14 | 24 | |
| 15 | Pituitary adenylate cyclase activating peptide receptors regulate the growth of non-small cell lung cancer cells. | 58 |
| 16 | 12 | |
| 17 | 36 | |
| 18 | 115 | |
| 19 | Thymosin alpha 1 down-regulates the growth of human non-small cell lung cancer cells in vitro and in vivo. | 40 |
| 20 | 48 |
About Farah Zia
Farah Zia is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Complementary and alternative medicine, having authored 26 papers that have together received 866 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (7 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (372 citations), Complementary and alternative medicine (108 citations) and Reproductive Medicine (82 citations). Farah Zia has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Terry W. Moody, Terry W. Moody, Mirela O. Fágárásan, Muriel Draoui, Oluwadamilola Olaku, Illana Gozes, Ariane Davidson, Douglas E. Brenneman, Mati Fridkin and Allan L. Goldstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Clinical 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.