Helen C. Causton

46 total papers · 9.9k total citations
28 papers, 3.3k citations indexed

About

Helen C. Causton is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Helen C. Causton has authored 28 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Helen C. Causton's work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (10 papers) and RNA and protein synthesis mechanisms (4 papers). Helen C. Causton is often cited by papers focused on Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (10 papers) and RNA and protein synthesis mechanisms (4 papers). Helen C. Causton collaborates with scholars based in United States, United Kingdom and Japan. Helen C. Causton's co-authors include Richard A. Young, Ezra G. Jennings, Eric S. Lander, Tong Ihn Lee, Sang Seok Koh, Bing Ren, Christopher Harbison, Elenita I. Kanin, Heather L. True and Christopher F. Higgins and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Helen C. Causton

28 papers receiving 3.2k citations

Hit Papers

Remodeling of Yeast Genom... 2001 2026 2009 2017 2001 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Helen C. Causton 2.9k 495 381 207 179 28 3.3k
Timothy Galitski 3.2k 1.1× 604 1.2× 486 1.3× 230 1.1× 194 1.1× 33 3.9k
Nicholas Shulman 3.1k 1.1× 243 0.5× 239 0.6× 316 1.5× 202 1.1× 21 4.6k
Robert P. St.Onge 2.6k 0.9× 510 1.0× 263 0.7× 248 1.2× 124 0.7× 39 3.1k
Valerie Wood 3.1k 1.0× 297 0.6× 606 1.6× 343 1.7× 254 1.4× 53 3.8k
Jeffrey C. Silva 3.2k 1.1× 287 0.6× 305 0.8× 308 1.5× 204 1.1× 32 4.5k
L Guarente 4.6k 1.6× 751 1.5× 662 1.7× 379 1.8× 142 0.8× 39 5.0k
Noemí del‐Toro 2.5k 0.8× 307 0.6× 309 0.8× 329 1.6× 208 1.2× 18 3.7k
Nicolas Hulo 2.6k 0.9× 324 0.7× 564 1.5× 220 1.1× 120 0.7× 31 3.8k
Claire O’Donovan 3.0k 1.0× 374 0.8× 321 0.8× 115 0.6× 229 1.3× 48 4.0k
Daniel F. Jarosz 3.2k 1.1× 577 1.2× 233 0.6× 368 1.8× 191 1.1× 63 3.7k

Countries citing papers authored by Helen C. Causton

Since Specialization
Citations

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

Fields of papers citing papers by Helen C. Causton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen C. Causton. 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 Helen C. Causton. The network helps show where Helen C. Causton may publish in the future.

Co-authorship network of co-authors of Helen C. Causton

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

All Works

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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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