Kim Kenobi

1.1k total citations
17 papers, 645 citations indexed

About

Kim Kenobi is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Kim Kenobi has authored 17 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Kim Kenobi's work include Plant nutrient uptake and metabolism (4 papers), Genomics and Phylogenetic Studies (3 papers) and Plant Molecular Biology Research (3 papers). Kim Kenobi is often cited by papers focused on Plant nutrient uptake and metabolism (4 papers), Genomics and Phylogenetic Studies (3 papers) and Plant Molecular Biology Research (3 papers). Kim Kenobi collaborates with scholars based in United Kingdom, United States and Germany. Kim Kenobi's co-authors include Malcolm J. Bennett, Ian L. Dryden, Michael Wilson, Mikaël Lucas, Soazig Guyomarc’h, Laurent Laplaze, Darren M. Wells, Ester P. Lorences, Alexander Ivakov and Dmitry Suslov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Kim Kenobi

17 papers receiving 630 citations

Peers

Kim Kenobi
J. Steen Hoyer United States
Luís M. Muñiz Spain
A.J. de Jong Netherlands
Qinghua Sun China
Michael C. U. Hammond-Kosack United Kingdom
N. S. Mandour Egypt
Carolyn J. Lawrence‐Dill United States
Deping Hua China
Frédéric Grognard France
J. Steen Hoyer United States
Kim Kenobi
Citations per year, relative to Kim Kenobi Kim Kenobi (= 1×) peers J. Steen Hoyer

Countries citing papers authored by Kim Kenobi

Since Specialization
Citations

This map shows the geographic impact of Kim Kenobi'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 Kim Kenobi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Kenobi more than expected).

Fields of papers citing papers by Kim Kenobi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Kenobi. 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 Kim Kenobi. The network helps show where Kim Kenobi may publish in the future.

Co-authorship network of co-authors of Kim Kenobi

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

All Works

17 of 17 papers shown
1.
Clare, Amanda, et al.. (2023). StORF-Reporter: finding genes between genes. Nucleic Acids Research. 51(21). 11504–11517. 1 indexed citations
2.
3.
Kenobi, Kim, et al.. (2022). An eco‐epidemiological modeling approach to investigate dilution effect in two different tick‐borne pathosystems. Ecological Applications. 32(3). e2550–e2550. 16 indexed citations
4.
Aubrey, Wayne, et al.. (2021). No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study. Bioinformatics. 38(5). 1198–1207. 27 indexed citations
5.
Creevey, Christopher J., Robert Hoehndorf, Maxat Kulmanov, et al.. (2019). Uncovering the dark matter of the metagenome one read at a time. Access Microbiology. 1(1A). 1 indexed citations
6.
Kenobi, Kim, Jonathan A. Atkinson, Darren M. Wells, et al.. (2017). Linear discriminant analysis reveals differences in root architecture in wheat seedlings related to nitrogen uptake efficiency. Journal of Experimental Botany. 68(17). 4969–4981. 26 indexed citations
7.
Lavenus, Julien, Tatsuaki Goh, Soazig Guyomarc’h, et al.. (2015). Inference of the Arabidopsis Lateral Root Gene Regulatory Network Suggests a Bifurcation Mechanism That Defines Primordia Flanking and Central Zones. The Plant Cell. 27(5). 1368–1388. 83 indexed citations
8.
Dyson, Rosemary, Gema Vizcay‐Barrena, Leah R. Band, et al.. (2014). Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending. New Phytologist. 202(4). 1212–1222. 44 indexed citations
9.
Lucas, Mikaël, Kim Kenobi, Daniel von Wangenheim, et al.. (2013). Lateral root morphogenesis is dependent on the mechanical properties of the overlaying tissues. Proceedings of the National Academy of Sciences. 110(13). 5229–5234. 169 indexed citations
10.
Robson, P. R. H., Elaine Jensen, Sarah Hawkins, et al.. (2013). Accelerating the domestication of a bioenergy crop: identifying and modelling morphological targets for sustainable yield increase in Miscanthus. Journal of Experimental Botany. 64(14). 4143–4155. 61 indexed citations
11.
Miedes, Eva, Dmitry Suslov, Filip Vandenbussche, et al.. (2013). Xyloglucan endotransglucosylase/hydrolase (XTH) overexpression affects growth and cell wall mechanics in etiolated Arabidopsis hypocotyls. Journal of Experimental Botany. 64(8). 2481–2497. 121 indexed citations
12.
Kenobi, Kim & Ian L. Dryden. (2012). Bayesian Matching of Unlabeled Point Sets Using Procrustes and Configuration Models. Bayesian Analysis. 7(3). 6 indexed citations
13.
Sun, Jianyong, Jonathan M. Garibaldi, & Kim Kenobi. (2012). Robust Bayesian Clustering for Replicated Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(5). 1504–1514. 5 indexed citations
14.
French, Andrew P., Michael Wilson, Kim Kenobi, et al.. (2012). Identifying biological landmarks using a novel cell measuring image analysis tool: Cell-o-Tape. Plant Methods. 8(1). 7–7. 39 indexed citations
15.
French, Andrew P., et al.. (2011). Tissue-level segmentation and tracking of cells in growing plant roots. Machine Vision and Applications. 23(4). 639–658. 9 indexed citations
16.
17.
Kenobi, Kim, et al.. (2010). Shape curves and geodesic modelling. Biometrika. 97(3). 567–584. 25 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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