John J. Voorhees
- Dermatology top 0.01%
- Molecular Biology top 0.5%
- Immunology top 0.1%
- Cell Biology top 0.05%
- Oncology top 1%
- Co-authors
- Gary J. FisherSewon KangJames VaraniTaihao QuanSubhash C. DattaCharles N. EllisC.E.M. GriffithsEric J. Duell
- Topics
- Skin Protection and Aging (106 papers)Psoriasis: Treatment and Pathogenesis (98 papers)Retinoids in leukemia and cellular processes (80 papers)
- Cited by
- DermatologyBiochemistryCell Biology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John J. Voorhees
414 papers receiving 29.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Dermatology 15.8k
- Molecular Biology 8.8k
- Immunology 7.7k
- Cell Biology 6.0k
- Oncology 2.5k
Countries citing papers authored by John J. Voorhees
This map shows the geographic impact of John J. Voorhees'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 John J. Voorhees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Voorhees more than expected).
Fields of papers citing papers by John J. Voorhees
This network shows the impact of papers produced by John J. Voorhees. 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 John J. Voorhees. The network helps show where John J. Voorhees may publish in the future.
Co-authorship network of co-authors of John J. Voorhees
This figure shows the co-authorship network connecting the top 25 collaborators of John J. Voorhees. A scholar is included among the top collaborators of John J. Voorhees 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 John J. Voorhees. John J. Voorhees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 22 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 41 | |
| 6 | 14 | |
| 7 | 35 | |
| 8 | 110 | |
| 9 | 357 | |
| 10 | 91 | |
| 11 | 70 | |
| 12 | 62 | |
| 13 | All-trans retinol, all-trans retinal and all-trans retinoic acid produce a dose dependent induction of retinoic acid 4-hydroxylase in human skin in vivo | 4 |
| 14 | Differential expression suggesting different functions of D-type cyclins in normal human keratinocytes. | 3 |
| 15 | 106 | |
| 16 | 114 | |
| 17 | 36 | |
| 18 | 34 | |
| 19 | 40 | |
| 20 | 15 |
About John J. Voorhees
John J. Voorhees is a scholar working on Dermatology, Immunology and Cell Biology, having authored 420 papers that have together received 31.1k indexed citations. Recurring topics across this work include Skin Protection and Aging (106 papers), Psoriasis: Treatment and Pathogenesis (98 papers) and Retinoids in leukemia and cellular processes (80 papers). The work is most often cited by research in Dermatology (15.8k citations), Biochemistry (2.2k citations) and Cell Biology (6.0k citations). John J. Voorhees has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gary J. Fisher, Sewon Kang, James Varani, Taihao Quan, Subhash C. Datta, Charles N. Ellis, C.E.M. Griffiths, Eric J. Duell, James T. Elder and Yuan Shao. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.