Cornelia M. Hooper

1.1k citations
12 papers · 838 · h-index 9

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism
    • Photosynthetic Processes and Mechanisms
    • Mitochondrial Function and Pathology
    • Genomics and Phylogenetic Studies
    • Plant Gene Expression Analysis

Papers in

    • Machine Learning in Bioinformatics 7
    • Genomics and Phylogenetic Studies 6
    • Plant biochemistry and biosynthesis 1
    • Biomedical Text Mining and Ontologies 1
    • Advanced Proteomics Techniques and Applications 7

Cornelia M. Hooper

12 papers receiving 834 citations

Peers

Cornelia M. Hooper
Comparison fields: 5 of 76
  • Plant Science 407
  • Molecular Biology 653
  • Biochemistry 58
  • Spectroscopy 77
  • Biotechnology 26
Replace Sonja Reiland with:
Sonja Reiland Switzerland
Grażyna Muszyńska Poland
Robert K. Harmel Germany
Svante Resjö Sweden
Jörg Freigang Germany
Wieslawa I. Mentzen Italy
Petra Majovsky Germany
Heidi L. Rutschow United States
Charlotta Rudhe Sweden
Ana Paula Oliveira Switzerland
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Citations per field
00.5×3.3×
Sonja Reiland · 1×
Citations per year

Countries citing papers authored by Cornelia M. Hooper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cornelia M. Hooper Line = papers co-authored together Cornelia M. Hooper links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016315
2 2012236
3 2014137
4 201551
5 201223
6 201423
7 201418
8 202013
9 201711
10 20214
11
Correspondence between the development of hemopoietic tissue and the time of colony formation by colony-forming cells.
19874
12 20213

About Cornelia M. Hooper

Cornelia M. Hooper is a scholar working on Molecular Biology, Spectroscopy, Genetics, Dermatology and Hematology, having authored 12 papers that have together received 838 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (6 papers), MicroRNA in disease regulation (1 paper), Dermatology and Skin Diseases (1 paper), Plant biochemistry and biosynthesis (1 paper), Blood transfusion and management (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Plant Science (407 citations), Molecular Biology (653 citations), Biochemistry (58 citations), Spectroscopy (77 citations) and Biotechnology (26 citations). Cornelia M. Hooper has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include A. Harvey Millar, Ian Castleden, Sandra K. Tanz, Nader Aryamanesh, Ian Small, Michaël Vacher, Richard P. Jacoby, Peter B. Dallas, Nicholas G. Gottardo and Ursula R. Kees. Their work appears in journals such as Nucleic Acids Research, The Plant Journal, Scientific Reports, Advances in experimental medicine and biology and Plant and Cell 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.

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