Dabney K. Johnson
- Molecular Biology top 10%
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Shaun S. GleasonMichael J. PaulusPatricia R. HunsickerEugene M. RinchikCymbeline T. CuliatMadhu DharLiane B. RussellLisa Stubbs
- Topics
- Genomics and Chromatin Dynamics (12 papers)Animal Genetics and Reproduction (8 papers)Epigenetics and DNA Methylation (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Dabney K. Johnson
55 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.1k
- Genetics 573
- Radiology, Nuclear Medicine and Imaging 364
- Biomedical Engineering 278
- Cellular and Molecular Neuroscience 217
Countries citing papers authored by Dabney K. Johnson
This map shows the geographic impact of Dabney K. Johnson'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 Dabney K. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dabney K. Johnson more than expected).
Fields of papers citing papers by Dabney K. Johnson
This network shows the impact of papers produced by Dabney K. Johnson. 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 Dabney K. Johnson. The network helps show where Dabney K. Johnson may publish in the future.
Co-authorship network of co-authors of Dabney K. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Dabney K. Johnson. A scholar is included among the top collaborators of Dabney K. Johnson 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 Dabney K. Johnson. Dabney K. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 208 | |
| 2 | 18 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 69 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | Automatic screening of polycystic kidney disease in X-ray CT images of laboratory mice | 1 |
| 10 | 2 | |
| 11 | 371 | |
| 12 | 124 | |
| 13 | 32 | |
| 14 | 49 | |
| 15 | 83 | |
| 16 | 10 | |
| 17 | 34 | |
| 18 | 7 | |
| 19 | 108 | |
| 20 | 14 |
About Dabney K. Johnson
Dabney K. Johnson is a scholar working on Genetics, Aging and Molecular Biology, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), Animal Genetics and Reproduction (8 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Genetics (573 citations), Radiology, Nuclear Medicine and Imaging (364 citations) and Molecular Biology (1.1k citations). Dabney K. Johnson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Shaun S. Gleason, Michael J. Paulus, Patricia R. Hunsicker, Eugene M. Rinchik, Cymbeline T. Culiat, Madhu Dhar, Liane B. Russell, Lisa Stubbs, Jean‐Marc Fritschy and Davor Solter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.