Heather Driscoll
- Molecular Biology
- Plant Science
- Cancer Research
- Ecology, Evolution, Behavior and Systematics top 10%
- Hematology top 10%
- Co-authors
- Chelsea D. SpechtNhu NguyenDavid S. BarringtonCarolyne FalankMariah FarrellRichard A. BainesMing HeNara I. Muraro
- Topics
- Glioma Diagnosis and Treatment (3 papers)Genomics and Phylogenetic Studies (3 papers)Plant and animal studies (3 papers)
- Cited by
- Cancer ResearchHematologyGenetics
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Heather Driscoll
28 papers receiving 669 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 289
- Plant Science 162
- Cancer Research 137
- Ecology, Evolution, Behavior and Systematics 97
- Hematology 96
Countries citing papers authored by Heather Driscoll
This map shows the geographic impact of Heather Driscoll'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 Heather Driscoll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Driscoll more than expected).
Fields of papers citing papers by Heather Driscoll
This network shows the impact of papers produced by Heather Driscoll. 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 Heather Driscoll. The network helps show where Heather Driscoll may publish in the future.
Co-authorship network of co-authors of Heather Driscoll
This figure shows the co-authorship network connecting the top 25 collaborators of Heather Driscoll. A scholar is included among the top collaborators of Heather Driscoll 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 Heather Driscoll. Heather Driscoll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 6 | |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 53 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 20 | |
| 15 | Expression Profiling Smackdown: Human Transcriptome Array HTA 2.0 vs. RNA-Seq | 4 |
| 16 | 70 | |
| 17 | 24 | |
| 18 | 53 | |
| 19 | 41 | |
| 20 | 41 |
About Heather Driscoll
Heather Driscoll is a scholar working on Genetics, Cancer Research and Ecological Modeling, having authored 29 papers that have together received 685 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Genomics and Phylogenetic Studies (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Cancer Research (137 citations), Hematology (96 citations) and Genetics (58 citations). Heather Driscoll has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Chelsea D. Specht, Nhu Nguyen, David S. Barrington, Carolyne Falank, Mariah Farrell, Richard A. Baines, Ming He, Nara I. Muraro, Heather Fairfield and Michaela R. Reagan. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Bioinformatics.
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.