Jennifer C. Darnell
- Molecular Biology top 2%
- Genetics top 1%
- Cognitive Neuroscience top 5%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Robert B. DarnellVictoria BrownPeng JinStephen T. WarrenKirk B. JensenAldo MeleJernej UleMelis Kayikci
- Topics
- RNA modifications and cancer (12 papers)RNA Research and Splicing (11 papers)RNA and protein synthesis mechanisms (8 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Jennifer C. Darnell
28 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 3.7k
- Genetics 1.5k
- Cognitive Neuroscience 497
- Cancer Research 493
- Cellular and Molecular Neuroscience 373
Countries citing papers authored by Jennifer C. Darnell
This map shows the geographic impact of Jennifer C. Darnell'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 Jennifer C. Darnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer C. Darnell more than expected).
Fields of papers citing papers by Jennifer C. Darnell
This network shows the impact of papers produced by Jennifer C. Darnell. 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 Jennifer C. Darnell. The network helps show where Jennifer C. Darnell may publish in the future.
Co-authorship network of co-authors of Jennifer C. Darnell
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer C. Darnell. A scholar is included among the top collaborators of Jennifer C. Darnell 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 Jennifer C. Darnell. Jennifer C. Darnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 72 | |
| 4 | 80 | |
| 5 | 156 | |
| 6 | 207 | |
| 7 | 98 | |
| 8 | 199 | |
| 9 | 58 | |
| 10 | 88 | |
| 11 | 104 | |
| 12 | HITS-CLIP yields genome-wide insights into brain alternative RNA processingbreakdown → | 1060 |
| 13 | 97 | |
| 14 | Fragile X Mental Retardation Protein Targets G Quartet mRNAs Important for Neuronal Functionbreakdown → | 792 |
| 15 | Microarray Identification of FMRP-Associated Brain mRNAs and Altered mRNA Translational Profiles in Fragile X Syndromebreakdown → | 906 |
| 16 | 349 | |
| 17 | 15 | |
| 18 | 38 | |
| 19 | 18 | |
| 20 | 12 |
About Jennifer C. Darnell
Jennifer C. Darnell is a scholar working on Molecular Biology, Genetics and Microbiology, having authored 30 papers that have together received 4.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), RNA Research and Splicing (11 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Genetics (1.5k citations) and Cancer Research (493 citations). Jennifer C. Darnell has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Robert B. Darnell, Victoria Brown, Peng Jin, Stephen T. Warren, Kirk B. Jensen, Aldo Mele, Jernej Ule, Melis Kayikci, Anthony Schweitzer and Donny D. Licatalosi. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.