Eric Kutschera

542 total citations
4 papers, 106 citations indexed

About

Eric Kutschera is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Eric Kutschera has authored 4 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Eric Kutschera's work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (2 papers). Eric Kutschera is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (2 papers). Eric Kutschera collaborates with scholars based in United States. Eric Kutschera's co-authors include Kathryn E. Kadash-Edmondson, Yi Xing, Zhijie Xie, Yuanyuan Wang, Robert Wang, Yang Xu, Lan Lin, Yuanyuan Wang, Yuan Gao and Noah A. Smith and has published in prestigious journals such as Nature Communications, Nature Protocols and Science Advances.

In The Last Decade

Eric Kutschera

4 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Kutschera United States 4 87 23 11 7 5 4 106
Dana Wyman United States 3 90 1.0× 15 0.7× 6 0.5× 9 1.3× 5 1.0× 4 114
Eva K. Nichols United States 3 76 0.9× 16 0.7× 5 0.5× 6 0.9× 3 0.6× 5 96
Coby Viner Canada 4 81 0.9× 13 0.6× 8 0.7× 4 0.6× 4 0.8× 4 91
Shaoshuai Jiang China 6 115 1.3× 9 0.4× 12 1.1× 8 1.1× 4 0.8× 9 127
Madison T. Weg United States 3 80 0.9× 14 0.6× 13 1.2× 12 1.7× 3 0.6× 3 90
Liana Goehring United States 5 141 1.6× 19 0.8× 18 1.6× 9 1.3× 2 0.4× 8 155
Emily M. Blaum United States 2 77 0.9× 28 1.2× 7 0.6× 8 1.1× 2 0.4× 4 94
Laurel A. Brandsmeier United States 3 82 0.9× 13 0.6× 13 1.2× 8 1.1× 3 89
Candice J. Coppola United States 3 99 1.1× 15 0.7× 19 1.7× 7 1.0× 3 116
Tera Bowers United States 2 75 0.9× 28 1.2× 6 0.5× 8 1.1× 2 0.4× 2 82

Countries citing papers authored by Eric Kutschera

Since Specialization
Citations

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

Fields of papers citing papers by Eric Kutschera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Kutschera

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Kutschera. A scholar is included among the top collaborators of Eric Kutschera 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 Eric Kutschera. Eric Kutschera 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.
Macias-Treviño, Claudio, Jason W. Mitchell, Shannon H. Carroll, et al.. (2024). Functional analysis of ESRP1/2 gene variants and CTNND1 isoforms in orofacial cleft pathogenesis. Communications Biology. 7(1). 1040–1040. 4 indexed citations
2.
Wang, Yuanyuan, et al.. (2024). rMATS-turbo: an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data. Nature Protocols. 19(4). 1083–1104. 47 indexed citations
3.
Xu, Yang, Robert Wang, Noah A. Smith, et al.. (2023). TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing. Nature Communications. 14(1). 4760–4760. 15 indexed citations
4.
Gao, Yuan, Robert Wang, Eric Kutschera, et al.. (2023). ESPRESSO: Robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data. Science Advances. 9(3). eabq5072–eabq5072. 40 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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