J. Keeling

661 total citations
9 papers, 476 citations indexed

About

J. Keeling is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. Keeling has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. Keeling's work include Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (2 papers) and Plant Diversity and Evolution (2 papers). J. Keeling is often cited by papers focused on Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (2 papers) and Plant Diversity and Evolution (2 papers). J. Keeling collaborates with scholars based in New Zealand, Australia and United Kingdom. J. Keeling's co-authors include Len N. Gillman, Shane D. Wright, Baptiste Guitton, P. B. Heenan, Ian C. Hallett, Kularajathevan Gunaseelan, Adrian M. Paterson, John J. Ross, Robert J. Schaffer and Evelyne Costes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Virology.

In The Last Decade

J. Keeling

9 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Keeling New Zealand 7 238 191 123 97 86 9 476
Dechun Jiang China 11 147 0.6× 184 1.0× 116 0.9× 44 0.5× 190 2.2× 34 454
J. D. Burzlaff United States 9 94 0.4× 172 0.9× 73 0.6× 95 1.0× 244 2.8× 14 436
Lynn H. Throckmorton United States 10 83 0.3× 186 1.0× 176 1.4× 112 1.2× 268 3.1× 13 570
María Fernanda Torres Jiménez United States 14 320 1.3× 255 1.3× 180 1.5× 80 0.8× 187 2.2× 37 619
Owen G. Osborne United Kingdom 15 125 0.5× 130 0.7× 181 1.5× 86 0.9× 184 2.1× 28 433
Roberto F. Nespolo Chile 15 92 0.4× 116 0.6× 237 1.9× 249 2.6× 36 0.4× 37 519
R. S. Seymour Australia 13 95 0.4× 83 0.4× 191 1.6× 289 3.0× 34 0.4× 17 561
Dorota Lachowska‐Cierlik Poland 15 204 0.9× 131 0.7× 331 2.7× 157 1.6× 103 1.2× 58 568
Michelle Hart United Kingdom 10 237 1.0× 258 1.4× 269 2.2× 101 1.0× 148 1.7× 19 572
Cassandra N. Trier Norway 9 90 0.4× 145 0.8× 130 1.1× 144 1.5× 356 4.1× 11 477

Countries citing papers authored by J. Keeling

Since Specialization
Citations

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

Fields of papers citing papers by J. Keeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Keeling

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

All Works

9 of 9 papers shown
1.
Guitton, Baptiste, J. Keeling, John J. Ross, et al.. (2012). A genomics approach to understanding the role of auxin in apple (Malus x domestica)fruit size control. BMC Plant Biology. 12(1). 161 indexed citations
2.
Heenan, P. B., et al.. (2010). Late‐Cenozoic origin and diversification of Chatham Islands endemic plant species revealed by analyses of DNA sequence data. New Zealand Journal of Botany. 48(2). 83–136. 47 indexed citations
3.
Heenan, Peter B., Peter J. de Lange, & J. Keeling. (2009). Alternanthera nahui , a new species of Amaranthaceae indigenous to New Zealand. New Zealand Journal of Botany. 47(1). 97–105. 5 indexed citations
4.
Wright, Shane D., J. Keeling, & Len N. Gillman. (2006). The road from Santa Rosalia: A faster tempo of evolution in tropical climates. Proceedings of the National Academy of Sciences. 103(20). 7718–7722. 180 indexed citations
5.
Charles, Ian G., Ann Chubb, Jeff J. Clare, et al.. (1993). Cloning and Expression of a Rat Neuronal Nitric Oxide Synthase Coding Sequence in a Baculovirus/Insect Cell System. Biochemical and Biophysical Research Communications. 196(3). 1481–1489. 35 indexed citations
6.
Keeling, J., et al.. (1990). Nucleotide sequence of the promoter region from kiwifruit actinidin genes. Plant Molecular Biology. 15(5). 787–788. 6 indexed citations
7.
Fraser, Lena G., J. Keeling, & R.E.F. Matthews. (1984). A reduction in starch accumulation in the apical dome of Chinese cabbage seedlings following inoculation with turnip yellow mosaic virus. Physiological Plant Pathology. 24(2). 157–162. 1 indexed citations
8.
Keeling, J., et al.. (1982). Mechanism for release of RNA from turnip yellow mosaic virus at high pH. Virology. 119(1). 214–218. 23 indexed citations
9.
Keeling, J., et al.. (1979). Behaviour of turnip yellow mosaic virus nucleoproteins under alkaline conditions. Virology. 97(1). 100–111. 18 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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