Smaranda Willcox
Impact in
- Aging top 5%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- DNA Repair Mechanisms 12
- CRISPR and Genetic Engineering 7
- Mitochondrial Function and Pathology 5
- RNA and protein synthesis mechanisms 4
-
- Telomeres, Telomerase, and Senescence 9
- Co-authors
- Jack D. Griffith (37 shared papers)Pankaj Kumar (2 shared papers)Anindya Dutta (2 shared papers)Yoshiyuki Shibata (2 shared papers)Anthony J. Cesare (2 shared papers)Ryan M. Layer (1 shared paper)Jeffrey Gagan (1 shared paper)Howard T. Jacobs (3 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Cell Reports (3 papers)Nucleic Acids Research (3 papers)Journal of Extracellular Vesicles (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesSlovakiaFinland
In The Last Decade
Smaranda Willcox
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Aging 61
- Cancer Research 318
- Molecular Biology 1.2k
- Clinical Biochemistry 111
- Physiology 309
Countries citing papers authored by Smaranda Willcox
This map shows the geographic impact of Smaranda Willcox'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 Smaranda Willcox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smaranda Willcox more than expected).
Fields of papers citing papers by Smaranda Willcox
This network shows the impact of papers produced by Smaranda Willcox. 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 Smaranda Willcox. The network helps show where Smaranda Willcox may publish in the future.
Co-authors
The 25 scholars most cited alongside Smaranda Willcox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 225 | |
| 2 | 2015 | 145 | |
| 3 | 2010 | 111 | |
| 4 | 2009 | 108 | |
| 5 | 2006 | 93 | |
| 6 | 2003 | 91 | |
| 7 | 2018 | 68 | |
| 8 | 2004 | 61 | |
| 9 | 2017 | 58 | |
| 10 | 2022 | 56 | |
| 11 | 2003 | 52 | |
| 12 | 2013 | 51 | |
| 13 | 2004 | 43 | |
| 14 | 2015 | 35 | |
| 15 | 2008 | 35 | |
| 16 | 2012 | 27 | |
| 17 | 2013 | 26 | |
| 18 | 2005 | 26 | |
| 19 | 2019 | 26 | |
| 20 | 2010 | 24 |
About Smaranda Willcox
Smaranda Willcox is a scholar working on Molecular Biology, Physiology, Genetics, Epidemiology and Ecology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), Telomeres, Telomerase, and Senescence (9 papers), CRISPR and Genetic Engineering (7 papers), Mitochondrial Function and Pathology (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Aging (61 citations), Cancer Research (318 citations), Molecular Biology (1.2k citations), Clinical Biochemistry (111 citations) and Physiology (309 citations). Smaranda Willcox has collaborated with scholars based in United States, Slovakia and Finland. Frequent co-authors include Jack D. Griffith, Pankaj Kumar, Anindya Dutta, Yoshiyuki Shibata, Anthony J. Cesare, Ryan M. Layer, Jeffrey Gagan, Howard T. Jacobs, Ľubomír Tomáška and Jozef Nosek. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Nucleic Acids Research, Journal of Extracellular Vesicles and Journal of Molecular Biology.
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.