Stephanie Shi

420 total citations
3 papers, 340 citations indexed

About

Stephanie Shi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Stephanie Shi has authored 3 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Stephanie Shi's work include Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Stephanie Shi is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Stephanie Shi collaborates with scholars based in United States. Stephanie Shi's co-authors include Lei Wei, Michelle Surma, Jianjian Shi, Danan Li, Keith A. Ching, Mark Ozeck, Jiang Chang, Cathy Zhang, Kai Wang and Hui Wang and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Archivum Immunologiae et Therapiae Experimentalis.

In The Last Decade

Stephanie Shi

3 papers receiving 333 citations

Peers

Stephanie Shi
Lu Kong China
SeungBaek Lee United States
Kasia Weina Germany
Daniel L. Abravanel United States
Christine Pampo United States
Hanneke Stegeman Netherlands
Andrew Chang United States
Neil M. Neumann United States
Elizabeth A. Loughran United States
Stephanie Shi
Citations per year, relative to Stephanie Shi Stephanie Shi (= 1×) peers Zanina Grieg

Countries citing papers authored by Stephanie Shi

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Shi

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

All Works

3 of 3 papers shown
1.
Wei, Lei, et al.. (2016). Novel Insights into the Roles of Rho Kinase in Cancer. Archivum Immunologiae et Therapiae Experimentalis. 64(4). 259–278. 156 indexed citations
2.
Wang, Kai, Qin Zhang, Danan Li, et al.. (2015). PEST Domain Mutations in Notch Receptors Comprise an Oncogenic Driver Segment in Triple-Negative Breast Cancer Sensitive to a γ-Secretase Inhibitor. Clinical Cancer Research. 21(6). 1487–1496. 122 indexed citations
3.

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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