Cornelia M. Hooper

1.1k total citations
12 papers, 838 citations indexed

About

Cornelia M. Hooper is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Cornelia M. Hooper has authored 12 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Spectroscopy and 1 paper in Genetics. Recurrent topics in Cornelia M. Hooper's work include Machine Learning in Bioinformatics (7 papers), Advanced Proteomics Techniques and Applications (7 papers) and Genomics and Phylogenetic Studies (6 papers). Cornelia M. Hooper is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Advanced Proteomics Techniques and Applications (7 papers) and Genomics and Phylogenetic Studies (6 papers). Cornelia M. Hooper collaborates with scholars based in Australia, United Kingdom and United States. Cornelia M. Hooper's co-authors include A. Harvey Millar, Ian Castleden, Sandra K. Tanz, Nader Aryamanesh, Ian Small, Michaël Vacher, Richard P. Jacoby, Nicholas G. Gottardo, Susan M. Hawes and Ursula R. Kees and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Cornelia M. Hooper

12 papers receiving 834 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cornelia M. Hooper Australia	9	653	407	77	58	46	12	838
Petra Majovsky Germany	13	434 0.7×	346 0.9×	79 1.0×	22 0.4×	26 0.6×	14	672
Sonja Reiland Switzerland	9	695 1.1×	321 0.8×	118 1.5×	48 0.8×	35 0.8×	9	822
Grażyna Muszyńska Poland	20	738 1.1×	577 1.4×	131 1.7×	41 0.7×	52 1.1×	34	1.1k
Heidi L. Rutschow United States	8	959 1.5×	508 1.2×	98 1.3×	62 1.1×	36 0.8×	8	1.1k
Jitae Kim United States	15	705 1.1×	402 1.0×	60 0.8×	34 0.6×	42 0.9×	24	883
Eveline Van De Slijke Belgium	16	923 1.4×	986 2.4×	52 0.7×	30 0.5×	132 2.9×	26	1.3k
Stéphane Miras France	7	962 1.5×	460 1.1×	148 1.9×	114 2.0×	32 0.7×	7	1.1k
Sandra K. Tanz Australia	19	1.8k 2.8×	894 2.2×	77 1.0×	105 1.8×	57 1.2×	24	2.1k
Charlotta Rudhe Sweden	11	577 0.9×	234 0.6×	29 0.4×	46 0.8×	44 1.0×	13	671
Jörg Freigang Germany	12	488 0.7×	153 0.4×	31 0.4×	44 0.8×	104 2.3×	17	772

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-authorship network of co-authors of Cornelia M. Hooper

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia M. Hooper. A scholar is included among the top collaborators of Cornelia M. Hooper 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 Cornelia M. Hooper. Cornelia M. Hooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

David, Rakesh, et al.. (2021). Identifying protein subcellular localisation in scientific literature using bidirectional deep recurrent neural network. Scientific Reports. 11(1). 1696–1696. 4 indexed citations

Hooper, Cornelia M., et al.. (2021). Subcellular Proteomics as a Unified Approach of Experimental Localizations and Computed Prediction Data for Arabidopsis and Crop Plants. Advances in experimental medicine and biology. 1346. 67–89. 3 indexed citations

Hooper, Cornelia M., et al.. (2020). CropPAL for discovering divergence in protein subcellular location in crops to support strategies for molecular crop breeding. The Plant Journal. 104(3). 812–827. 13 indexed citations

Hooper, Cornelia M., Tim J. Stevens, Anna Maija Saukkonen, et al.. (2017). Multiple marker abundance profiling: combining selected reaction monitoring and data‐dependent acquisition for rapid estimation of organelle abundance in subcellular samples. The Plant Journal. 92(6). 1202–1217. 11 indexed citations

Hooper, Cornelia M., Ian Castleden, Sandra K. Tanz, Nader Aryamanesh, & A. Harvey Millar. (2016). SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations. Nucleic Acids Research. 45(D1). D1064–D1074. 315 indexed citations

Hooper, Cornelia M., Ian Castleden, Nader Aryamanesh, Richard P. Jacoby, & A. Harvey Millar. (2015). Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL). Plant and Cell Physiology. 57(1). e9–e9. 51 indexed citations

Tanz, Sandra K., Ian Castleden, Cornelia M. Hooper, Ian Small, & A. Harvey Millar. (2014). Using the SUBcellular database for Arabidopsis proteins to localize the Deg protease family. Frontiers in Plant Science. 5. 396–396. 18 indexed citations

Hooper, Cornelia M., Susan M. Hawes, Ursula R. Kees, Nicholas G. Gottardo, & Peter B. Dallas. (2014). Gene Expression Analyses of the Spatio-Temporal Relationships of Human Medulloblastoma Subgroups during Early Human Neurogenesis. PLoS ONE. 9(11). e112909–e112909. 23 indexed citations

Hooper, Cornelia M., Sandra K. Tanz, Ian Castleden, et al.. (2014). SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome. Bioinformatics. 30(23). 3356–3364. 137 indexed citations

10.

Ireland, Demelza J., Cornelia M. Hooper, Haydn Kissick, et al.. (2012). Topically applied Melaleuca alternifolia (tea tree) oil causes direct anti-cancer cytotoxicity in subcutaneous tumour bearing mice. Journal of Dermatological Science. 67(2). 120–129. 23 indexed citations

11.

Tanz, Sandra K., Ian Castleden, Cornelia M. Hooper, et al.. (2012). SUBA3: a database for integrating experimentation and prediction to define the SUBcellular location of proteins in Arabidopsis. Nucleic Acids Research. 41(D1). D1185–D1191. 236 indexed citations

12.

Rosendaal, Martin, S. Villà, & Cornelia M. Hooper. (1987). Correspondence between the development of hemopoietic tissue and the time of colony formation by colony-forming cells.. PubMed. 12(3). 615–28. 4 indexed citations

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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