J. D. Keene
- Molecular Biology top 5%
- Cancer Research top 10%
- Immunology
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- J C ChambersDragana AnticStoyan GeorgievJeffrey D. NusbaumNeelanjan MukherjeeDavid L. CorcoranManuel AscanoUwe Ohler
- Topics
- RNA and protein synthesis mechanisms (9 papers)RNA Research and Splicing (7 papers)RNA modifications and cancer (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesNetherlands
In The Last Decade
J. D. Keene
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.3k
- Cancer Research 273
- Immunology 197
- Radiology, Nuclear Medicine and Imaging 178
- Cardiology and Cardiovascular Medicine 116
Countries citing papers authored by J. D. Keene
This map shows the geographic impact of J. D. Keene'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 J. D. Keene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D. Keene more than expected).
Fields of papers citing papers by J. D. Keene
This network shows the impact of papers produced by J. D. Keene. 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 J. D. Keene. The network helps show where J. D. Keene may publish in the future.
Co-authorship network of co-authors of J. D. Keene
This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Keene. A scholar is included among the top collaborators of J. D. Keene 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 J. D. Keene. J. D. Keene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Integrative Regulatory Mapping Indicates that the RNA-Binding Protein HuR Couples Pre-mRNA Processing and mRNA Stabilitybreakdown → | 527 |
| 2 | 98 | |
| 3 | 31 | |
| 4 | 102 | |
| 5 | 134 | |
| 6 | 181 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 29 | |
| 10 | 29 | |
| 11 | 55 | |
| 12 | 56 | |
| 13 | 132 | |
| 14 | 25 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 45 | |
| 18 | 127 | |
| 19 | 12 | |
| 20 | 4 |
About J. D. Keene
J. D. Keene is a scholar working on Aging, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (273 citations) and Immunology (197 citations). J. D. Keene has collaborated with scholars based in United States and Netherlands. Frequent co-authors include J C Chambers, Dragana Antic, Stoyan Georgiev, Jeffrey D. Nusbaum, Neelanjan Mukherjee, David L. Corcoran, Manuel Ascano, Uwe Ohler, Markus Hafner and Thomas Tuschl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.