Cathleen Rawson
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 6
- RNA Interference and Gene Delivery 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Oncology 2
- Cancer Cells and Metastasis 2
- Co-authors
- David W. Barnes (11 shared papers)Deryk Loo (7 shared papers)Michele Solem (1 shared paper)Yoshio Sakai (2 shared papers)Angela Helmrich (2 shared papers)Olaf R. Hedstrom (1 shared paper)Julie R. Duimstra (1 shared paper)Edward E. Schmidt (1 shared paper)
- Journals
- Journal of Cellular Physiology (3 papers)Experimental Cell Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
Cathleen Rawson
12 papers receiving 524 citations
Peers
Comparison fields: 5 of 83
- Aging 36
- Developmental Neuroscience 66
- Molecular Biology 351
- Neurology 38
- Cancer Research 52
Countries citing papers authored by Cathleen Rawson
This map shows the geographic impact of Cathleen Rawson'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 Cathleen Rawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathleen Rawson more than expected).
Fields of papers citing papers by Cathleen Rawson
This network shows the impact of papers produced by Cathleen Rawson. 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 Cathleen Rawson. The network helps show where Cathleen Rawson may publish in the future.
Co-authors
The 13 scholars most cited alongside Cathleen Rawson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 181 | |
| 2 | 1990 | 78 | |
| 3 | 1991 | 61 | |
| 4 | 1990 | 59 | |
| 5 | 1990 | 47 | |
| 6 | 1989 | 43 | |
| 7 | 1990 | 20 | |
| 8 | Oncogene transformation frequency of nonsenescent SFME cells is increased by c-myc. | 1991 | 17 |
| 9 | 1991 | 14 | |
| 10 | 1990 | 13 | |
| 11 | 1991 | 12 | |
| 12 | 1991 | 4 |
About Cathleen Rawson
Cathleen Rawson is a scholar working on Molecular Biology, Oncology, Genetics, Biotechnology and Developmental Neuroscience, having authored 12 papers that have together received 549 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), RNA Interference and Gene Delivery (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cancer Cells and Metastasis (2 papers), Estrogen and related hormone effects (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Aging (36 citations), Developmental Neuroscience (66 citations), Molecular Biology (351 citations), Neurology (38 citations) and Cancer Research (52 citations). Cathleen Rawson has collaborated with scholars based in United States. Frequent co-authors include David W. Barnes, Deryk Loo, Michele Solem, Yoshio Sakai, Angela Helmrich, Olaf R. Hedstrom, Julie R. Duimstra, Edward E. Schmidt, Sanetaka Shirahata and Paul Collodi. Their work appears in journals such as Journal of Cellular Physiology, Experimental Cell Research, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and Science.
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.