Emma J. Schuster

714 total citations
4 papers, 244 citations indexed

About

Emma J. Schuster is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Emma J. Schuster has authored 4 papers receiving a total of 244 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 Emma J. Schuster's work include Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers) and Cardiomyopathy and Myosin Studies (1 paper). Emma J. Schuster is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers) and Cardiomyopathy and Myosin Studies (1 paper). Emma J. Schuster collaborates with scholars based in United States and Japan. Emma J. Schuster's co-authors include Rokana Taftaf, Huiping Liu, Isabel Romero‐Calvo, Carolina Reduzzi, Youbin Zhang, Lamiaa El-Shennawy, Xia Liu, Massimo Cristofanilli, Yuzhi Jia and Erika K. Ramos and has published in prestigious journals such as Theranostics, Bioorganic & Medicinal Chemistry and JCI Insight.

In The Last Decade

Emma J. Schuster

4 papers receiving 243 citations

Peers

Emma J. Schuster
Emma J. Schuster
Citations per year, relative to Emma J. Schuster Emma J. Schuster (= 1×) peers Fanny Grillet

Countries citing papers authored by Emma J. Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Emma J. Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma J. Schuster. 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 Emma J. Schuster. The network helps show where Emma J. Schuster may publish in the future.

Co-authorship network of co-authors of Emma J. Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Emma J. Schuster. A scholar is included among the top collaborators of Emma J. Schuster 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 Emma J. Schuster. Emma J. Schuster 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.
Liu, Xia, Valery Adorno-Cruz, Ya-Fang Chang, et al.. (2021). EGFR inhibition blocks cancer stem cell clustering and lung metastasis of triple negative breast cancer. Theranostics. 11(13). 6632–6643. 52 indexed citations
2.
Schuster, Emma J., et al.. (2021). Better together: circulating tumor cell clustering in metastatic cancer. Trends in cancer. 7(11). 1020–1032. 157 indexed citations
3.
Barefield, David Y., Andy H. Vo, Anthony Gacita, et al.. (2019). Distinct pathological signatures in human cellular models of myotonic dystrophy subtypes. JCI Insight. 4(6). 25 indexed citations
4.
Lee, Ju‐Yeon, et al.. (2019). Development of novel macrocyclic small molecules that target CTG trinucleotide repeats. Bioorganic & Medicinal Chemistry. 27(13). 2978–2984. 10 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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