Cindy Benod
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
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- Estrogen and related hormone effects
Papers in
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- Retinoids in leukemia and cellular processes 2
- RNA Research and Splicing 2
- Oncology 6
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Robert J. Fletterick (3 shared papers)Elena P. Sablin (2 shared papers)Paul Webb (5 shared papers)Maia Vinogradova (1 shared paper)Grace Kim (1 shared paper)X. Lou (2 shared papers)Peter K. Hwang (2 shared papers)Jan-Åke Gustafsson (1 shared paper)
- Journals
- Nature Structural & Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)Molecular Pharmacology (1 paper)Journal of Chemical Information and Modeling (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFranceBrazil
In The Last Decade
Cindy Benod
11 papers receiving 399 citations
Peers
Comparison fields: 5 of 63
- Pharmacology 38
- Genetics 122
- Cancer Research 56
- Endocrinology, Diabetes and Metabolism 58
- Oncology 93
Countries citing papers authored by Cindy Benod
This map shows the geographic impact of Cindy Benod'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 Cindy Benod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy Benod more than expected).
Fields of papers citing papers by Cindy Benod
This network shows the impact of papers produced by Cindy Benod. 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 Cindy Benod. The network helps show where Cindy Benod may publish in the future.
Co-authors
The 25 scholars most cited alongside Cindy Benod, 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 | 2011 | 93 | |
| 2 | 2014 | 87 | |
| 3 | 2013 | 78 | |
| 4 | 2007 | 46 | |
| 5 | 2014 | 40 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 10 | |
| 8 | 2008 | 8 | |
| 9 | 2014 | 7 | |
| 10 | 2006 | 6 | |
| 11 | 2020 | 1 |
About Cindy Benod
Cindy Benod is a scholar working on Molecular Biology, Oncology, Genetics, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 403 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (2 papers), Retinoids in leukemia and cellular processes (2 papers), Computational Drug Discovery Methods (2 papers), Nuclear Receptors and Signaling (2 papers), RNA Research and Splicing (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Pharmacology (38 citations), Genetics (122 citations), Cancer Research (56 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Oncology (93 citations). Cindy Benod has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Robert J. Fletterick, Elena P. Sablin, Paul Webb, Maia Vinogradova, Grace Kim, X. Lou, Peter K. Hwang, Jan-Åke Gustafsson, Ji Ho Suh and Gudrun Toresson. Their work appears in journals such as Nature Structural & Molecular Biology, Journal of Biological Chemistry, Molecular Pharmacology, Journal of Chemical Information and Modeling and PLoS ONE.
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.