Catharine L. Smith
- Molecular Biology top 10%
- Genetics top 5%
- Immunology
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Gordon L. HagerHan HtunChristopher T. BaumannAngeliki MagklaraRonald G. WolfordLynn A. SheldonCarol S. LimTrevor Archer
- Topics
- Estrogen and related hormone effects (13 papers)Histone Deacetylase Inhibitors Research (11 papers)Epigenetics and DNA Methylation (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesMalaysiaCzechia
In The Last Decade
Catharine L. Smith
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 814
- Genetics 488
- Immunology 193
- Oncology 174
- Endocrinology, Diabetes and Metabolism 140
Countries citing papers authored by Catharine L. Smith
This map shows the geographic impact of Catharine L. Smith'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 Catharine L. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catharine L. Smith more than expected).
Fields of papers citing papers by Catharine L. Smith
This network shows the impact of papers produced by Catharine L. Smith. 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 Catharine L. Smith. The network helps show where Catharine L. Smith may publish in the future.
Co-authorship network of co-authors of Catharine L. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Catharine L. Smith. A scholar is included among the top collaborators of Catharine L. Smith 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 Catharine L. Smith. Catharine L. Smith 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 | 5 | |
| 3 | 22 | |
| 4 | 21 | |
| 5 | 19 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 66 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 45 | |
| 12 | 23 | |
| 13 | 35 | |
| 14 | 53 | |
| 15 | 211 | |
| 16 | 48 | |
| 17 | 43 | |
| 18 | 47 | |
| 19 | 16 | |
| 20 | 5 |
About Catharine L. Smith
Catharine L. Smith is a scholar working on Genetics, Toxicology and Molecular Biology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Histone Deacetylase Inhibitors Research (11 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Genetics (488 citations), Molecular Biology (814 citations) and Behavioral Neuroscience (33 citations). Catharine L. Smith has collaborated with scholars based in United States, Malaysia and Czechia. Frequent co-authors include Gordon L. Hager, Han Htun, Christopher T. Baumann, Angeliki Magklara, Ronald G. Wolford, Lynn A. Sheldon, Carol S. Lim, Trevor Archer, Yoshitaka Nobukuni and Sevilla D. Detera‐Wadleigh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.