Catharine L. Smith
- Genetics top 5%
- Estrogen and related hormone effects 13
- Virus-based gene therapy research 4
- Molecular Biology top 10%
- Histone Deacetylase Inhibitors Research 11
- Epigenetics and DNA Methylation 7
- Protein Degradation and Inhibitors 7
- Genomics and Chromatin Dynamics 5
- Behavioral Neuroscience top 10%
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- interferon and immune responses 5
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- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Gordon L. HagerHan HtunChristopher T. BaumannAngeliki MagklaraRonald G. WolfordLynn A. SheldonCarol S. LimTrevor Archer
- Journals
- Journal of Biological Chemistry (7 papers)Molecular Endocrinology (6 papers)Experimental Cell Research (4 papers)
- Partner nations
- United StatesMalaysiaCzechia
In The Last Decade
Catharine L. Smith
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Genetics 488
- Molecular Biology 814
- Behavioral Neuroscience 33
- Cancer Research 138
- Immunology 193
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
The 25 scholars most cited alongside Catharine L. Smith, 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 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2017 | 22 | |
| 4 | 2014 | 21 | |
| 5 | 2013 | 19 | |
| 6 | 2013 | 20 | |
| 7 | 2010 | 7 | |
| 8 | 2007 | 66 | |
| 9 | 2007 | 7 | |
| 10 | 2004 | 12 | |
| 11 | 2003 | 45 | |
| 12 | 2002 | 23 | |
| 13 | 2001 | 35 | |
| 14 | 1997 | 53 | |
| 15 | 1997 | 211 | |
| 16 | 1997 | 48 | |
| 17 | 1995 | 43 | |
| 18 | 1993 | 47 | |
| 19 | 1991 | 16 | |
| 20 | 1989 | 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), Epigenetics and DNA Methylation (7 papers), Protein Degradation and Inhibitors (7 papers), interferon and immune responses (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Genomics and Chromatin Dynamics (5 papers) and Virus-based gene therapy research (4 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 Journal of Biological Chemistry, Molecular Endocrinology, Experimental Cell Research, Molecular Carcinogenesis and Cancer Biology & Therapy.
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.