Julia C. Redman
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant-Microbe Interactions and Immunity
Papers in
-
- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 1
- Glutathione Transferases and Polymorphisms 1
- Genomics, phytochemicals, and oxidative stress 1
-
- Escherichia coli research studies 5
- Co-authors
- Christopher D. Town (5 shared papers)Brian J. Haas (3 shared papers)David A. Rasko (5 shared papers)Hank Wu (4 shared papers)James P. Nataro (2 shared papers)Claire M. Fraser (2 shared papers)Pablo D. Rabinowicz (1 shared paper)Jonathan Arias (2 shared papers)
- Journals
- Plant Methods (2 papers)The Plant Journal (2 papers)Infection and Immunity (2 papers)Molecular Microbiology (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Julia C. Redman
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Endocrinology 142
- Plant Science 647
- Biochemistry 64
- Molecular Biology 571
- Molecular Medicine 35
Countries citing papers authored by Julia C. Redman
This map shows the geographic impact of Julia C. 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 Julia C. Redman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia C. Redman more than expected).
Fields of papers citing papers by Julia C. Redman
This network shows the impact of papers produced by Julia C. 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 Julia C. Redman. The network helps show where Julia C. Redman may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia C. Redman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 371 | |
| 2 | 2004 | 202 | |
| 3 | 2008 | 117 | |
| 4 | 2010 | 98 | |
| 5 | 2006 | 97 | |
| 6 | 2012 | 51 | |
| 7 | 2005 | 45 | |
| 8 | 2000 | 45 | |
| 9 | 2010 | 23 | |
| 10 | 2012 | 19 | |
| 11 | 2013 | 11 | |
| 12 | 2011 | 9 |
About Julia C. Redman
Julia C. Redman is a scholar working on Molecular Biology, Endocrinology, Plant Science, Infectious Diseases and Ecology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Gene expression and cancer classification (2 papers), Plant Molecular Biology Research (2 papers), RNA and protein synthesis mechanisms (1 paper), Glutathione Transferases and Polymorphisms (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Endocrinology (142 citations), Plant Science (647 citations), Biochemistry (64 citations), Molecular Biology (571 citations) and Molecular Medicine (35 citations). Julia C. Redman has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Christopher D. Town, Brian J. Haas, David A. Rasko, Hank Wu, James P. Nataro, Claire M. Fraser, Pablo D. Rabinowicz, Jonathan Arias, Jacques Ravel and Daniela Puiu. Their work appears in journals such as Plant Methods, The Plant Journal, Infection and Immunity, Molecular Microbiology and PLANT PHYSIOLOGY.
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.