Daniel J. Brackett
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Oncology top 5%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- Megan R. LernerYuriy GusevThomas D. SchmittgenRussell G. PostierJinmai JiangGerard J. NuovoDaniel L. MorganStan Lightfoot
- Topics
- RNA modifications and cancer (10 papers)MicroRNA in disease regulation (8 papers)Fibroblast Growth Factor Research (7 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Daniel J. Brackett
91 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 2.4k
- Cancer Research 1.7k
- Oncology 678
- Epidemiology 411
- Surgery 323
Countries citing papers authored by Daniel J. Brackett
This map shows the geographic impact of Daniel J. Brackett'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 Daniel J. Brackett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Brackett more than expected).
Fields of papers citing papers by Daniel J. Brackett
This network shows the impact of papers produced by Daniel J. Brackett. 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 Daniel J. Brackett. The network helps show where Daniel J. Brackett may publish in the future.
Co-authorship network of co-authors of Daniel J. Brackett
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Brackett. A scholar is included among the top collaborators of Daniel J. Brackett 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 Daniel J. Brackett. Daniel J. Brackett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | 169 | |
| 5 | 147 | |
| 6 | 57 | |
| 7 | 13 | |
| 8 | 422 | |
| 9 | Whole body blast injury: Central nervous system response | 1 |
| 10 | Development of keratinocyte growth factor receptor tyrosine kinase inhibitors for the treatment of cancer. | 10 |
| 11 | 22 | |
| 12 | 60 | |
| 13 | 89 | |
| 14 | A Comparison of KGF Receptor Expression in Various Types of Human Cancer. | 3 |
| 15 | Expression profiling identifies microRNA signature in pancreatic cancerbreakdown → | 740 |
| 16 | Keratinocyte Growth Factor-Mediated Pattern of Gene Expression in Breast Cancer Cells. | 4 |
| 17 | 41 | |
| 18 | 33 | |
| 19 | 18 | |
| 20 | 3 |
About Daniel J. Brackett
Daniel J. Brackett is a scholar working on Cancer Research, Molecular Biology and Toxicology, having authored 91 papers that have together received 4.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (8 papers) and Fibroblast Growth Factor Research (7 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (2.4k citations) and Behavioral Neuroscience (90 citations). Daniel J. Brackett has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Megan R. Lerner, Yuriy Gusev, Thomas D. Schmittgen, Russell G. Postier, Jinmai Jiang, Gerard J. Nuovo, Daniel L. Morgan, Stan Lightfoot, Wendy L. Frankel and Eun Joo Lee. Their work appears in journals such as Advanced Materials, The Journal of Immunology and Cancer.
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.