Farah Zia

34 total papers · 1.0k total citations
26 papers, 858 citations indexed

About

Farah Zia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Farah Zia has authored 26 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Oncology. Recurrent topics in Farah Zia's work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (7 papers) and Complementary and Alternative Medicine Studies (4 papers). Farah Zia is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (7 papers) and Complementary and Alternative Medicine Studies (4 papers). Farah Zia collaborates with scholars based in United States, Israel and Hong Kong. Farah Zia's co-authors include Terry W. Moody, Terry W. Moody, Mirela O. Fágárásan, Muriel Draoui, Oluwadamilola Olaku, Illana Gozes, Douglas E. Brenneman, Ariane Davidson, Mati Fridkin and Allan L. Goldstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Clinical Cancer Research.

In The Last Decade

Farah Zia

26 papers receiving 837 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Farah Zia 374 373 241 106 82 26 858
Jiancheng Wang 462 1.2× 391 1.0× 76 0.3× 42 0.4× 93 1.1× 40 938
Matthew Hardwick 373 1.0× 224 0.6× 121 0.5× 27 0.3× 24 0.3× 16 770
Qian Lu 379 1.0× 148 0.4× 258 1.1× 64 0.6× 11 0.1× 48 1.0k
Benedetta Bianchi 360 1.0× 291 0.8× 70 0.3× 50 0.5× 10 0.1× 25 960
Qian Wu 413 1.1× 104 0.3× 67 0.3× 35 0.3× 16 0.2× 31 849
Weina Zhu 284 0.8× 80 0.2× 61 0.3× 78 0.7× 29 0.4× 35 845
Ya‐Ting Hsu 255 0.7× 159 0.4× 153 0.6× 53 0.5× 25 0.3× 53 760
Marguerite Gastaldi 487 1.3× 170 0.5× 88 0.4× 9 0.1× 72 0.9× 38 1.0k
Cristina Goso 484 1.3× 251 0.7× 203 0.8× 32 0.3× 14 0.2× 38 1.0k
Fabio Malugani 286 0.8× 58 0.2× 227 0.9× 23 0.2× 26 0.3× 28 944

Countries citing papers authored by Farah Zia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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