Cornelia M. Hooper
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
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- Photosynthetic Processes and Mechanisms
- Mitochondrial Function and Pathology
- Genomics and Phylogenetic Studies
- Plant Gene Expression Analysis
Papers in
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- Machine Learning in Bioinformatics 7
- Genomics and Phylogenetic Studies 5
- Peroxisome Proliferator-Activated Receptors 1
- Plant biochemistry and biosynthesis 1
- Bioinformatics and Genomic Networks 1
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- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Ian Castleden (9 shared papers)A. Harvey Millar (8 shared papers)Sandra K. Tanz (5 shared papers)Nader Aryamanesh (3 shared papers)Ian Small (3 shared papers)Michaël Vacher (2 shared papers)Richard P. Jacoby (1 shared paper)Ursula R. Kees (1 shared paper)
- Journals
- The Plant Journal (2 papers)Nucleic Acids Research (2 papers)Journal of Dermatological Science (1 paper)Advances in experimental medicine and biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Cornelia M. Hooper
12 papers receiving 860 citations
Peers
Comparison fields: 5 of 77
- Plant Science 409
- Molecular Biology 652
- Biochemistry 58
- Spectroscopy 76
- Biotechnology 26
Countries citing papers authored by Cornelia M. Hooper
This map shows the geographic impact of Cornelia M. Hooper'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 Cornelia M. Hooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia M. Hooper more than expected).
Fields of papers citing papers by Cornelia M. Hooper
This network shows the impact of papers produced by Cornelia M. Hooper. 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 Cornelia M. Hooper. The network helps show where Cornelia M. Hooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia M. Hooper, 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 | 2016 | 325 | |
| 2 | 2012 | 243 | |
| 3 | 2014 | 139 | |
| 4 | 2015 | 53 | |
| 5 | 2012 | 27 | |
| 6 | 2014 | 23 | |
| 7 | 2014 | 18 | |
| 8 | 2020 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2021 | 4 | |
| 11 | Correspondence between the development of hemopoietic tissue and the time of colony formation by colony-forming cells. | 1987 | 4 |
| 12 | 2021 | 3 |
About Cornelia M. Hooper
Cornelia M. Hooper is a scholar working on Molecular Biology, Spectroscopy, Genetics, Hematology and Physiology, having authored 12 papers that have together received 864 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Genomics and Phylogenetic Studies (5 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Plant biochemistry and biosynthesis (1 paper), Bioinformatics and Genomic Networks (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Blood transfusion and management (1 paper). The work is most often cited by research in Plant Science (409 citations), Molecular Biology (652 citations), Biochemistry (58 citations), Spectroscopy (76 citations) and Biotechnology (26 citations). Cornelia M. Hooper has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ian Castleden, A. Harvey Millar, Sandra K. Tanz, Nader Aryamanesh, Ian Small, Michaël Vacher, Richard P. Jacoby, Ursula R. Kees, Peter B. Dallas and Nicholas G. Gottardo. Their work appears in journals such as The Plant Journal, Nucleic Acids Research, Journal of Dermatological Science, Advances in experimental medicine and biology 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.