Gina M. Dailey
- Molecular Biology top 5%
- Plant Science top 10%
- Genetics
- Cancer Research
- Biophysics top 2%
- Co-authors
- Robert TjianXavier DarzacqClaire Dugast‐DarzacqClaudia CattoglioShasha ChongAlec HeckertAnders S. HansenSambashiva Banala
- Topics
- Genomics and Chromatin Dynamics (12 papers)RNA Research and Splicing (9 papers)RNA modifications and cancer (6 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Gina M. Dailey
23 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 2.0k
- Plant Science 215
- Genetics 163
- Cancer Research 131
- Biophysics 114
Countries citing papers authored by Gina M. Dailey
This map shows the geographic impact of Gina M. Dailey'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 Gina M. Dailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina M. Dailey more than expected).
Fields of papers citing papers by Gina M. Dailey
This network shows the impact of papers produced by Gina M. Dailey. 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 Gina M. Dailey. The network helps show where Gina M. Dailey may publish in the future.
Co-authorship network of co-authors of Gina M. Dailey
This figure shows the co-authorship network connecting the top 25 collaborators of Gina M. Dailey. A scholar is included among the top collaborators of Gina M. Dailey 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 Gina M. Dailey. Gina M. Dailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | Dynamics of CTCF- and cohesin-mediated chromatin looping revealed by live-cell imagingbreakdown → | 287 |
| 9 | 23 | |
| 10 | 126 | |
| 11 | 41 | |
| 12 | 23 | |
| 13 | 35 | |
| 14 | Imaging dynamic and selective low-complexity domain interactions that control gene transcriptionbreakdown → | 673 |
| 15 | RNA polymerase II clustering through carboxy-terminal domain phase separationbreakdown → | 408 |
| 16 | 6 | |
| 17 | 56 | |
| 18 | 41 | |
| 19 | 102 | |
| 20 | 83 |
About Gina M. Dailey
Gina M. Dailey is a scholar working on Biophysics, Molecular Biology and Cell Biology, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Biophysics (114 citations) and Structural Biology (26 citations). Gina M. Dailey has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Robert Tjian, Xavier Darzacq, Claire Dugast‐Darzacq, Claudia Cattoglio, Shasha Chong, Alec Heckert, Anders S. Hansen, Sambashiva Banala, Peng Dong and Zhe Liu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.