Sara Kendall

35.7k total citations
3 papers, 301 citations indexed

About

Sara Kendall is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Sara Kendall has authored 3 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Genetics. Recurrent topics in Sara Kendall's work include Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cell death mechanisms and regulation (1 paper). Sara Kendall is often cited by papers focused on Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cell death mechanisms and regulation (1 paper). Sara Kendall collaborates with scholars based in United States and Australia. Sara Kendall's co-authors include Stacey J. Adam, Christopher M. Counter, Channing J. Der, Kian‐Huat Lim, Kevin O’Hayer, Paul M. Campbell and Corinne M. Linardic and has published in prestigious journals such as Cancer Research, Current Biology and Cell Cycle.

In The Last Decade

Sara Kendall

3 papers receiving 294 citations

Peers

Sara Kendall
Lorena A. Puto United States
Sara Kendall
Citations per year, relative to Sara Kendall Sara Kendall (= 1×) peers Lorena A. Puto

Countries citing papers authored by Sara Kendall

Since Specialization
Citations

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

Fields of papers citing papers by Sara Kendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Kendall

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Kendall. A scholar is included among the top collaborators of Sara Kendall 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 Sara Kendall. Sara Kendall 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.
Lim, Kian‐Huat, Kevin O’Hayer, Stacey J. Adam, et al.. (2006). Divergent Roles for RalA and RalB in Malignant Growth of Human Pancreatic Carcinoma Cells. Current Biology. 16(24). 2385–2394. 195 indexed citations
2.
Kendall, Sara, Stacey J. Adam, & Christopher M. Counter. (2006). Genetically Engineered Human Cancer Models Utilizing Mammalian Transgene Expression. Cell Cycle. 5(10). 1074–1079. 20 indexed citations
3.
Kendall, Sara, Corinne M. Linardic, Stacey J. Adam, & Christopher M. Counter. (2005). A Network of Genetic Events Sufficient to Convert Normal Human Cells to a Tumorigenic State. Cancer Research. 65(21). 9824–9828. 86 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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