Fawn Qian

2.1k total citations · 1 hit paper
4 papers, 1.6k citations indexed

About

Fawn Qian is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology and Allergy. According to data from OpenAlex, Fawn Qian has authored 4 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Immunology and Allergy. Recurrent topics in Fawn Qian's work include Cell Adhesion Molecules Research (2 papers), Cancer Mechanisms and Therapy (2 papers) and Liver physiology and pathology (2 papers). Fawn Qian is often cited by papers focused on Cell Adhesion Molecules Research (2 papers), Cancer Mechanisms and Therapy (2 papers) and Liver physiology and pathology (2 papers). Fawn Qian collaborates with scholars based in United States. Fawn Qian's co-authors include Stefan Engst, F. Michael Yakes, Toshihiro Yamaguchi, Frauke Bentzien, Alison Joly, Peiwen Yu, Jenny Tan, Jason Chen, Justin Lesch and Andrew You and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Cancer Research.

In The Last Decade

Fawn Qian

4 papers receiving 1.5k citations

Hit Papers

Cabozantinib (XL184), a Novel MET and VEGFR2 Inhibitor, S... 2011 2026 2016 2021 2011 250 500 750 1000

Peers

Fawn Qian
Maria E. Arango United States
Dana T. Aftab United States
Jeff Sosman United States
Ralph Tiedt Switzerland
Laurie Sherman United States
Harold Keer United States
Jessica Orf United States
T. Annie T. Fong United States
Maria E. Arango United States
Fawn Qian
Citations per year, relative to Fawn Qian Fawn Qian (= 1×) peers Maria E. Arango

Countries citing papers authored by Fawn Qian

Since Specialization
Citations

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

Fields of papers citing papers by Fawn Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fawn Qian. 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 Fawn Qian. The network helps show where Fawn Qian may publish in the future.

Co-authorship network of co-authors of Fawn Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Fawn Qian. A scholar is included among the top collaborators of Fawn Qian 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 Fawn Qian. Fawn Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Yakes, F. Michael, Jason Chen, Jenny Tan, et al.. (2011). Cabozantinib (XL184), a Novel MET and VEGFR2 Inhibitor, Simultaneously Suppresses Metastasis, Angiogenesis, and Tumor Growth. Molecular Cancer Therapeutics. 10(12). 2298–2308. 1036 indexed citations breakdown →
2.
Qian, Fawn, Stefan Engst, Toshihiro Yamaguchi, et al.. (2009). Inhibition of Tumor Cell Growth, Invasion, and Metastasis by EXEL-2880 (XL880, GSK1363089), a Novel Inhibitor of HGF and VEGF Receptor Tyrosine Kinases. Cancer Research. 69(20). 8009–8016. 282 indexed citations
3.
Qian, Fawn, Douglas Hanahan, & Irving L. Weissman. (2001). L-selectin can facilitate metastasis to lymph nodes in a transgenic mouse model of carcinogenesis. Proceedings of the National Academy of Sciences. 98(7). 3976–3981. 55 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.

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