Janette W. Redman
- Molecular Biology
- Genetics top 10%
- Ecology
- Archeology top 5%
- Biomedical Engineering
- Co-authors
- Margaret C. KlineDavid L. DuewerJ. M. ButlerJohn M. ButlerPeter M. ValloneRichard SchoskeAmy E. DeckerDennis J. Reeder
- Topics
- Molecular Biology Techniques and Applications (14 papers)Forensic and Genetic Research (12 papers)Genetic Associations and Epidemiology (2 papers)
- Cited by
- GeneticsMolecular BiologyArcheology
- Partner nations
- United StatesIndiaEgypt
In The Last Decade
Janette W. Redman
16 papers receiving 430 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 303
- Genetics 299
- Ecology 71
- Archeology 35
- Biomedical Engineering 29
Countries citing papers authored by Janette W. Redman
This map shows the geographic impact of Janette W. Redman'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 Janette W. Redman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janette W. Redman more than expected).
Fields of papers citing papers by Janette W. Redman
This network shows the impact of papers produced by Janette W. Redman. 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 Janette W. Redman. The network helps show where Janette W. Redman may publish in the future.
Co-authorship network of co-authors of Janette W. Redman
This figure shows the co-authorship network connecting the top 25 collaborators of Janette W. Redman. A scholar is included among the top collaborators of Janette W. Redman 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 Janette W. Redman. Janette W. Redman 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 | 7 | |
| 3 | 39 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 90 | |
| 7 | Testing Candidate DNA Quantitation Standards with Several Real-Time Quantitative PCR Methods | NIST | 0 |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 36 | |
| 11 | 117 | |
| 12 | 50 | |
| 13 | 7 | |
| 14 | 25 | |
| 15 | 13 | |
| 16 | Interlaboratory Evaluation of STR Triplex CTT, Including Manual and Automated Methods: Understanding the Differences | 2 |
| 17 | 19 |
About Janette W. Redman
Janette W. Redman is a scholar working on Genetics, Molecular Biology and Clinical Biochemistry, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (14 papers), Forensic and Genetic Research (12 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Genetics (299 citations), Molecular Biology (303 citations) and Archeology (35 citations). Janette W. Redman has collaborated with scholars based in United States, India and Egypt. Frequent co-authors include Margaret C. Kline, David L. Duewer, J. M. Butler, John M. Butler, Peter M. Vallone, Richard Schoske, Amy E. Decker, Dennis J. Reeder, Thomas M. Reid and John C. Travis. Their work appears in journals such as Analytical Chemistry, Analytical and Bioanalytical Chemistry and Forensic Science International.
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.