Erica Shefler

14.0k total citations
2 papers, 2 citations indexed

About

Erica Shefler is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Erica Shefler has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Erica Shefler's work include RNA modifications and cancer (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Glioma Diagnosis and Treatment (1 paper). Erica Shefler is often cited by papers focused on RNA modifications and cancer (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Glioma Diagnosis and Treatment (1 paper). Erica Shefler collaborates with scholars based in United States and Germany. Erica Shefler's co-authors include Catherine J. Wu, Stacey Gabriel, Lili Wang, Andrey Sivachenko, Jill P. Mesirov, Nathalie Pochet, Jennifer R. Brown, Donna Neuberg, Stefan M. Pfister and Aviv Regev and has published in prestigious journals such as Blood and Cancer Research.

In The Last Decade

Erica Shefler

2 papers receiving 2 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Erica Shefler United States	2	2	1	1	1	1	2	2
Jose E. Sarriera United States	2	2 1.0×	1 1.0×	1 1.0×			4	6
A. Godon France	2	2 1.0×			1 1.0×		3	4
Arnoldo Aguirre Chile	2	2 1.0×		1 1.0×	1 1.0×		2	3
Charlotte Bellamy Italy	2	2 1.0×	1 1.0×				4	3
Giulia Colia Italy	2	2 1.0×			1 1.0×		2	3
Edouard Flamarion France	2	2 1.0×					3	3
Malek Mohammed Lebanon	1	2 1.0×					2	2
Lukas Ramsauer Germany	2	2 1.0×	1 1.0×				2	4
Y. Chao China	1	2 1.0×	1 1.0×				2	4

Countries citing papers authored by Erica Shefler

Since Specialization

Citations

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

Fields of papers citing papers by Erica Shefler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erica Shefler

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

All Works

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2 of 2 papers shown

1.

Pugh, Trevor J., Yoon‐Jae Cho, Tenley C. Archer, et al.. (2012). Abstract 4868: Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations within a wide spectrum of genetic heterogeneity. Cancer Research. 72(8_Supplement). 4868–4868. 1 indexed citations

2.

Wang, Lili, Nathalie Pochet, Kristian Cibulskis, et al.. (2010). Whole Genome Sequencing Identifies Functional Mutations In the Wnt Pathway In CLL. Blood. 116(21). 693–693. 1 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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