Linda Snell
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 5%
- Genetics top 10%
- Cell Biology top 10%
- Co-authors
- Peter H. WatsonLeigh C. MurphyEtienne LeygueHelmut DotzlawAdewale AdeyinkaYulian NiuKate HoleEthan Emberley
- Topics
- Estrogen and related hormone effects (4 papers)Cell Adhesion Molecules Research (4 papers)S100 Proteins and Annexins (4 papers)
- Partner nations
- CanadaUkraineUnited Kingdom
In The Last Decade
Linda Snell
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 710
- Oncology 351
- Cancer Research 341
- Genetics 231
- Cell Biology 207
Countries citing papers authored by Linda Snell
This map shows the geographic impact of Linda Snell'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 Linda Snell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Snell more than expected).
Fields of papers citing papers by Linda Snell
This network shows the impact of papers produced by Linda Snell. 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 Linda Snell. The network helps show where Linda Snell may publish in the future.
Co-authorship network of co-authors of Linda Snell
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Snell. A scholar is included among the top collaborators of Linda Snell 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 Linda Snell. Linda Snell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 51 | |
| 3 | 59 | |
| 4 | 44 | |
| 5 | 76 | |
| 6 | Analysis of gene expression in ductal carcinoma in situ of the breast. | 76 |
| 7 | Activated mitogen-activated protein kinase expression during human breast tumorigenesis and breast cancer progression. | 156 |
| 8 | 122 | |
| 9 | 6 | |
| 10 | Altered expression of estrogen receptor coregulators during human breast tumorigenesis. | 123 |
| 11 | 61 | |
| 12 | 141 | |
| 13 | Expression of lumican in human breast carcinoma. | 96 |
| 14 | Differential expression of psoriasin messenger RNA between in situ and invasive human breast carcinoma. | 76 |
About Linda Snell
Linda Snell is a scholar working on Immunology and Allergy, Internal Medicine and Cancer Research, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Cell Adhesion Molecules Research (4 papers) and S100 Proteins and Annexins (4 papers). The work is most often cited by research in Cancer Research (341 citations), Immunology and Allergy (112 citations) and Oncology (351 citations). Linda Snell has collaborated with scholars based in Canada, Ukraine and United Kingdom. Frequent co-authors include Peter H. Watson, Leigh C. Murphy, Etienne Leygue, Helmut Dotzlaw, Adewale Adeyinka, Yulian Niu, Kate Hole, Ethan Emberley, Tracy Cherlet and Sandra Troup. Their work appears in journals such as Clinical Cancer Research, American Journal Of Pathology and The Journal of Pathology.
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.