J. Wade Davis
- Molecular Biology top 10%
- Genetics top 5%
- Immunology top 10%
- Cancer Research top 10%
- Physiology top 10%
- Co-authors
- Jacob F. DegnerEmily A. KingKristen H. TaylorHuidong ShiCharles W. CaldwellDeiter J. DuffAaron C. EricssonCraig L. Franklin
- Topics
- Epigenetics and DNA Methylation (14 papers)RNA modifications and cancer (9 papers)Cancer-related gene regulation (5 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
J. Wade Davis
65 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.2k
- Genetics 393
- Immunology 292
- Cancer Research 258
- Physiology 221
Countries citing papers authored by J. Wade Davis
This map shows the geographic impact of J. Wade Davis'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. Wade Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Wade Davis more than expected).
Fields of papers citing papers by J. Wade Davis
This network shows the impact of papers produced by J. Wade Davis. 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. Wade Davis. The network helps show where J. Wade Davis may publish in the future.
Co-authorship network of co-authors of J. Wade Davis
This figure shows the co-authorship network connecting the top 25 collaborators of J. Wade Davis. A scholar is included among the top collaborators of J. Wade Davis 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. Wade Davis. J. Wade Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 40 | |
| 3 | 53 | |
| 4 | 20 | |
| 5 | Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approvalbreakdown → | 309 |
| 6 | 2 | |
| 7 | 58 | |
| 8 | 48 | |
| 9 | 20 | |
| 10 | 14 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 35 | |
| 16 | 51 | |
| 17 | 178 | |
| 18 | 109 | |
| 19 | Statistics for Microarrays: Design, Analysis and Inference. Ernst Wit and John McClure | 1 |
| 20 | 54 |
About J. Wade Davis
J. Wade Davis is a scholar working on Aging, Hepatology and Genetics, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (9 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cancer Research (258 citations), Molecular Biology (1.2k citations) and Genetics (393 citations). J. Wade Davis has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Jacob F. Degner, Emily A. King, Kristen H. Taylor, Huidong Shi, Charles W. Caldwell, Deiter J. Duff, Aaron C. Ericsson, Craig L. Franklin, Mark A. McIntosh and Catherine E. Hagan. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Bioinformatics.
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.