Helen C. Causton
- Molecular Biology top 2%
- Genetics top 5%
- Plant Science top 5%
- Cell Biology top 10%
- Cancer Research top 10%
- Co-authors
- Richard A. YoungEzra G. JenningsEric S. LanderTong Ihn LeeElenita I. KaninBing RenHeather L. TrueSang Seok Koh
- Topics
- Gene expression and cancer classification (13 papers)Bioinformatics and Genomic Networks (10 papers)Fungal and yeast genetics research (4 papers)
- Cited by
- AgingMolecular BiologyGenetics
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Helen C. Causton
28 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 2.9k
- Genetics 495
- Plant Science 381
- Cell Biology 207
- Cancer Research 179
Countries citing papers authored by Helen C. Causton
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 57 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 360 | |
| 10 | 15 | |
| 11 | 87 | |
| 12 | 3 | |
| 13 | 60 | |
| 14 | Microarray databases: standards and ontologies: standards and ontologies | 2 |
| 15 | 113 | |
| 16 | Remodeling of Yeast Genome Expression in Response to Environmental Changesbreakdown → | 1082 |
| 17 | 303 | |
| 18 | 324 | |
| 19 | 47 | |
| 20 | 196 |
About Helen C. Causton
Helen C. Causton is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 28 papers that have together received 3.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (10 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Aging (86 citations), Molecular Biology (2.9k citations) and Genetics (495 citations). Helen C. Causton has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Richard A. Young, Ezra G. Jennings, Eric S. Lander, Tong Ihn Lee, Elenita I. Kanin, Bing Ren, Heather L. True, Sang Seok Koh, Christopher Harbison and Christopher F. Higgins. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.