Kathryn R. Johnson
- Molecular Biology
- Statistics, Probability and Uncertainty top 2%
- Oncology
- Cell Biology
- Dermatology top 10%
- Co-authors
- Robert P. DellavalleM J WheelockMichael HsuMeenhard HerlynJonathan D. WrenClaudia PersicoSara DeakyneKatarzyna Kozak
- Topics
- Digital Imaging in Medicine (3 papers)Skin Protection and Aging (3 papers)Air Quality and Health Impacts (2 papers)
- Journals
- American Journal of EpidemiologyCochrane Database of Systematic ReviewsJournal of Investigative Dermatology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kathryn R. Johnson
19 papers receiving 543 citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 157
- Statistics, Probability and Uncertainty 96
- Oncology 80
- Cell Biology 77
- Dermatology 60
Countries citing papers authored by Kathryn R. Johnson
This map shows the geographic impact of Kathryn R. 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 Kathryn R. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn R. Johnson more than expected).
Fields of papers citing papers by Kathryn R. Johnson
This network shows the impact of papers produced by Kathryn R. 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 Kathryn R. Johnson. The network helps show where Kathryn R. Johnson may publish in the future.
Co-authorship network of co-authors of Kathryn R. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn R. Johnson. A scholar is included among the top collaborators of Kathryn R. 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 Kathryn R. Johnson. Kathryn R. 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 | 1 | |
| 2 | 45 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 41 | |
| 6 | Shields Of War: Defining Military Contractors’ Liability For Torture | 1 |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 150 | |
| 10 | 34 | |
| 11 | 28 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 33 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | Shifts in cadherin profiles between human normal melanocytes and melanomas. | 168 |
| 19 | 2 |
About Kathryn R. Johnson
Kathryn R. Johnson is a scholar working on Family Practice, Dermatology and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 567 indexed citations. Recurring topics across this work include Digital Imaging in Medicine (3 papers), Skin Protection and Aging (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (96 citations), Medical Terminology (2 citations) and Dermatology (60 citations). Kathryn R. Johnson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert P. Dellavalle, M J Wheelock, Michael Hsu, Meenhard Herlyn, Jonathan D. Wren, Claudia Persico, Sara Deakyne, Katarzyna Kozak, Michael E. Ming and Michael Shepherd. Their work appears in journals such as American Journal of Epidemiology, Cochrane Database of Systematic Reviews and Journal of Investigative Dermatology.
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.