Eve Shaw
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant responses to water stress
- Soybean genetics and cultivation
Papers in
-
- Plant Molecular Biology Research 4
- Plant nutrient uptake and metabolism 3
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- Lipid metabolism and biosynthesis 5
- Co-authors
- Peter J. Eastmond (5 shared papers)Amélie A. Kelly (4 shared papers)Anne‐Laure Quettier (3 shared papers)Smita Kurup (3 shared papers)Stephen J. Powers (2 shared papers)Harrie van Erp (2 shared papers)Gary D. Bending (2 shared papers)Allan Walker (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (3 papers)Annals of the Rheumatic Diseases (1 paper)Irrigation Science (1 paper)Rapid Communications in Mass Spectrometry (1 paper)Plant Biotechnology Journal (1 paper)
- Partner nations
- United KingdomGermanyVenezuela
In The Last Decade
Eve Shaw
10 papers receiving 710 citations
Peers
Comparison fields: 5 of 60
- Biochemistry 373
- Plant Science 393
- Pollution 70
- Molecular Biology 377
- Insect Science 55
Countries citing papers authored by Eve Shaw
This map shows the geographic impact of Eve Shaw'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 Eve Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eve Shaw more than expected).
Fields of papers citing papers by Eve Shaw
This network shows the impact of papers produced by Eve Shaw. 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 Eve Shaw. The network helps show where Eve Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Eve Shaw, 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 | 2011 | 150 | |
| 2 | 2013 | 132 | |
| 3 | 2013 | 118 | |
| 4 | 2012 | 101 | |
| 5 | 2001 | 58 | |
| 6 | 2006 | 52 | |
| 7 | 2005 | 47 | |
| 8 | 2008 | 39 | |
| 9 | 1981 | 18 | |
| 10 | 2012 | 9 |
About Eve Shaw
Eve Shaw is a scholar working on Plant Science, Biochemistry, Molecular Biology, Pollution and Ecology, having authored 10 papers that have together received 724 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (5 papers), Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (3 papers), Pancreatic function and diabetes (1 paper), Mycobacterium research and diagnosis (1 paper), Microbial infections and disease research (1 paper), Water Treatment and Disinfection (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Biochemistry (373 citations), Plant Science (393 citations), Pollution (70 citations), Molecular Biology (377 citations) and Insect Science (55 citations). Eve Shaw has collaborated with scholars based in United Kingdom, Germany and Venezuela. Frequent co-authors include Peter J. Eastmond, Amélie A. Kelly, Anne‐Laure Quettier, Smita Kurup, Stephen J. Powers, Harrie van Erp, Gary D. Bending, Allan Walker, Ana Candeias‐Mendes and Guillaume Ménard. Their work appears in journals such as PLANT PHYSIOLOGY, Annals of the Rheumatic Diseases, Irrigation Science, Rapid Communications in Mass Spectrometry and Plant Biotechnology Journal.
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.