David A. Hubert

1.4k total citations
9 papers, 827 citations indexed

About

David A. Hubert is a scholar working on Plant Science, Insect Science and Infectious Diseases. According to data from OpenAlex, David A. Hubert has authored 9 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Insect Science and 0 papers in Infectious Diseases. Recurrent topics in David A. Hubert's work include Plant-Microbe Interactions and Immunity (6 papers), Plant pathogens and resistance mechanisms (3 papers) and Plant Genetic and Mutation Studies (2 papers). David A. Hubert is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Plant pathogens and resistance mechanisms (3 papers) and Plant Genetic and Mutation Studies (2 papers). David A. Hubert collaborates with scholars based in United States, France and Germany. David A. Hubert's co-authors include Jeffery L. Dangl, Zachary L. Nimchuk, David Mackey, Youssef Belkhadir, Ben F. Holt, Pablo Tornero, Yijian He, Douglas C. Boyes, Tsutomu Kawasaki and Jaesung Nam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The Plant Cell.

In The Last Decade

David A. Hubert

8 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Hubert United States 7 686 282 68 53 52 9 827
Anna K. Jehle Germany 14 1.3k 1.8× 333 1.2× 48 0.7× 54 1.0× 28 0.5× 14 1.4k
Sandra Goritschnig United States 11 733 1.1× 262 0.9× 38 0.6× 55 1.0× 27 0.5× 17 804
Raul Zavaliev United States 12 1.1k 1.6× 483 1.7× 46 0.7× 65 1.2× 53 1.0× 13 1.3k
Kevin Ao Canada 10 911 1.3× 338 1.2× 36 0.5× 54 1.0× 44 0.8× 14 998
Zhongshou Wu Canada 10 639 0.9× 210 0.7× 40 0.6× 75 1.4× 32 0.6× 15 733
Kristoffer Palma Canada 10 1.0k 1.5× 639 2.3× 28 0.4× 46 0.9× 30 0.6× 12 1.2k
Ewa Łukasik Netherlands 5 540 0.8× 164 0.6× 49 0.7× 51 1.0× 31 0.6× 9 602
Isabelle Malcuit United Kingdom 7 686 1.0× 183 0.6× 32 0.5× 36 0.7× 30 0.6× 7 757
Zane Duxbury United Kingdom 10 796 1.2× 259 0.9× 43 0.6× 37 0.7× 16 0.3× 12 913
E.J. Slootweg Netherlands 13 743 1.1× 180 0.6× 48 0.7× 19 0.4× 43 0.8× 21 822

Countries citing papers authored by David A. Hubert

Since Specialization
Citations

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

Fields of papers citing papers by David A. Hubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Hubert. 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 David A. Hubert. The network helps show where David A. Hubert may publish in the future.

Co-authorship network of co-authors of David A. Hubert

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Hubert. A scholar is included among the top collaborators of David A. Hubert 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 David A. Hubert. David A. Hubert 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
3.
He, Yijian, Eui‐Hwan Chung, David A. Hubert, Pablo Tornero, & Jeffery L. Dangl. (2012). Specific Missense Alleles of the Arabidopsis Jasmonic Acid Co-Receptor COI1 Regulate Innate Immune Receptor Accumulation and Function. PLoS Genetics. 8(10). e1003018–e1003018. 24 indexed citations
4.
Serrano, Mario, David A. Hubert, Jeffery L. Dangl, Paul Schulze‐Lefert, & Erich Kombrink. (2010). A chemical screen for suppressors of the avrRpm1-RPM1-dependent hypersensitive cell death response in Arabidopsis thaliana. Planta. 231(5). 1013–1023. 20 indexed citations
5.
Hubert, David A., Yijian He, Brian C. McNulty, Pablo Tornero, & Jeffery L. Dangl. (2009). Specific Arabidopsis HSP90.2 alleles recapitulate RAR1 cochaperone function in plant NB-LRR disease resistance protein regulation. Proceedings of the National Academy of Sciences. 106(24). 9556–9563. 73 indexed citations
6.
Kawasaki, Tsutomu, Jaesung Nam, Douglas C. Boyes, et al.. (2005). A duplicated pair of Arabidopsis RING‐finger E3 ligases contribute to the RPM1‐ and RPS2‐mediated hypersensitive response. The Plant Journal. 44(2). 258–270. 110 indexed citations
7.
Belkhadir, Youssef, Zachary L. Nimchuk, David A. Hubert, David Mackey, & Jeffery L. Dangl. (2004). Arabidopsis RIN4 Negatively Regulates Disease Resistance Mediated by RPS2 and RPM1 Downstream or Independent of the NDR1 Signal Modulator and Is Not Required for the Virulence Functions of Bacterial Type III Effectors AvrRpt2 or AvrRpm1. The Plant Cell. 16(10). 2822–2835. 205 indexed citations
8.
Hubert, David A.. (2003). Cytosolic HSP90 associates with and modulates the Arabidopsis RPM1 disease resistance protein. The EMBO Journal. 22(21). 5679–5689. 320 indexed citations
9.
Holt, Ben F., David A. Hubert, & Jeffery L. Dangl. (2003). Resistance gene signaling in plants — complex similarities to animal innate immunity. Current Opinion in Immunology. 15(1). 20–25. 74 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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