Richard G. Gardner

5.0k total citations
71 papers, 3.9k citations indexed

About

Richard G. Gardner is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Richard G. Gardner has authored 71 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 31 papers in Cell Biology and 20 papers in Plant Science. Recurrent topics in Richard G. Gardner's work include Ubiquitin and proteasome pathways (25 papers), Endoplasmic Reticulum Stress and Disease (23 papers) and Fungal and yeast genetics research (12 papers). Richard G. Gardner is often cited by papers focused on Ubiquitin and proteasome pathways (25 papers), Endoplasmic Reticulum Stress and Disease (23 papers) and Fungal and yeast genetics research (12 papers). Richard G. Gardner collaborates with scholars based in United States, Israel and Italy. Richard G. Gardner's co-authors include Randolph Y. Hampton, Jasper Rine, Daniel E. Gottschling, Mary M. Peet, Nathan Bays, Eric K. Fredrickson, Claudio A.P. Joazeiro, Shusei Sato, D. H. Willits and Stephen Cronin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Richard G. Gardner

70 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard G. Gardner United States 29 2.9k 1.8k 742 595 209 71 3.9k
Paul K. Herman United States 30 3.1k 1.1× 1.8k 1.0× 967 1.3× 453 0.8× 128 0.6× 46 4.1k
Ernst Jarosch Germany 26 2.4k 0.8× 2.2k 1.2× 1.1k 1.4× 205 0.3× 136 0.7× 31 3.8k
Claudine Kraft Austria 33 3.0k 1.0× 2.2k 1.2× 2.9k 3.9× 406 0.7× 258 1.2× 63 5.1k
Dianne S. Schwarz United States 11 3.6k 1.3× 576 0.3× 390 0.5× 533 0.9× 77 0.4× 11 4.6k
Michael D. Blower United States 25 3.3k 1.2× 1.4k 0.7× 349 0.5× 1.6k 2.6× 84 0.4× 40 4.2k
Hirokazu Inoue Japan 29 2.7k 0.9× 572 0.3× 210 0.3× 632 1.1× 605 2.9× 111 3.5k
Nasrin Mesaeli Canada 19 1.5k 0.5× 1.2k 0.7× 358 0.5× 106 0.2× 156 0.7× 34 2.7k
Ingrid G. Haas Germany 20 1.7k 0.6× 1.1k 0.6× 249 0.3× 96 0.2× 122 0.6× 28 2.4k
Péter Deák Hungary 23 1.7k 0.6× 1.1k 0.6× 253 0.3× 286 0.5× 186 0.9× 52 2.3k
Peter Bohley Germany 21 1.3k 0.5× 667 0.4× 477 0.6× 149 0.3× 310 1.5× 69 2.3k

Countries citing papers authored by Richard G. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Gardner. 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 Richard G. Gardner. The network helps show where Richard G. Gardner may publish in the future.

Co-authorship network of co-authors of Richard G. Gardner

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

All Works

20 of 20 papers shown
1.
Johansson, Kristoffer E., Nir Friedman, Richard G. Gardner, et al.. (2022). Conserved degronome features governing quality control associated proteolysis. Nature Communications. 13(1). 7588–7588. 21 indexed citations
2.
Gardner, Richard G., et al.. (2021). The San1 Ubiquitin Ligase Avidly Recognizes Misfolded Proteins through Multiple Substrate Binding Sites. Biomolecules. 11(11). 1619–1619. 5 indexed citations
3.
Fredrickson, Eric K., JiaBei Lin, Edward Chuang, et al.. (2019). The extent of Ssa1/Ssa2 Hsp70 chaperone involvement in nuclear protein quality control degradation varies with the substrate. Molecular Biology of the Cell. 31(3). 221–233. 14 indexed citations
4.
Gardner, Richard G., et al.. (2019). Osmolyte accumulation regulates the SUMOylation and inclusion dynamics of the prionogenic Cyc8-Tup1 transcription corepressor. PLoS Genetics. 15(4). e1008115–e1008115. 11 indexed citations
5.
Gardner, Richard G., et al.. (2016). Protein quality control in the nucleus. Current Opinion in Cell Biology. 40. 81–89. 27 indexed citations
6.
Fredrickson, Eric K., et al.. (2016). The San1 Ubiquitin Ligase Functions Preferentially with Ubiquitin-conjugating Enzyme Ubc1 during Protein Quality Control. Journal of Biological Chemistry. 291(36). 18778–18790. 11 indexed citations
7.
Groves, Benjamin, et al.. (2016). Rewiring MAP kinases in Saccharomyces cerevisiae to regulate novel targets through ubiquitination. eLife. 5. 10 indexed citations
8.
Fredrickson, Eric K., et al.. (2013). Means of self-preservation: how an intrinsically disordered ubiquitin-protein ligase averts self-destruction. Molecular Biology of the Cell. 24(7). 1041–1052. 20 indexed citations
9.
Gallagher, Pamela, et al.. (2013). Cellular maintenance of nuclear protein homeostasis. Cellular and Molecular Life Sciences. 71(10). 1865–1879. 22 indexed citations
10.
Lyssand, John S., Jennifer L. Wacker, Michael R. Bruchas, et al.. (2010). α-Dystrobrevin-1 recruits α-catulin to the α 1D -adrenergic receptor/dystrophin-associated protein complex signalosome. Proceedings of the National Academy of Sciences. 107(50). 21854–21859. 28 indexed citations
11.
O’Donnell, Allyson F., Alex Apffel, Richard G. Gardner, & Martha Cyert. (2010). α-Arrestins Aly1 and Aly2 Regulate Intracellular Trafficking in Response to Nutrient Signaling. Molecular Biology of the Cell. 21(20). 3552–3566. 89 indexed citations
12.
Gardner, Richard G.. (2006). `Plum Crimson' Fresh-Market Plum Tomato Hybrid and its Parents, NC EBR-7 and NC EBR-8. HortScience. 41(1). 259–260. 9 indexed citations
13.
Gardner, Richard G.. (2006). 'Mountain Crest' Hybrid Tomato and its Parent, NC 1 rinEC. HortScience. 41(1). 261–262. 10 indexed citations
14.
Gardner, Richard G., et al.. (2005). Ubp10/Dot4p Regulates the Persistence of Ubiquitinated Histone H2B: Distinct Roles in Telomeric Silencing and General Chromatin. Molecular and Cellular Biology. 25(14). 6123–6139. 130 indexed citations
15.
Gardner, Richard G., et al.. (2000). 551 Inheritance of Tomato Late Blight Resistance Derived from Lycopersicon hirsutum LA1033 and Identification of Molecular Markers. HortScience. 35(3). 490E–490. 2 indexed citations
16.
Gardner, Richard G. & Randolph Y. Hampton. (1999). A Highly Conserved Signal Controls Degradation of 3-Hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) Reductase in Eukaryotes. Journal of Biological Chemistry. 274(44). 31671–31678. 124 indexed citations
17.
Hampton, Randolph Y., Richard G. Gardner, & Jasper Rine. (1996). Role of 26S proteasome and HRD genes in the degradation of 3-hydroxy-3-methylglutaryl-CoA reductase, an integral endoplasmic reticulum membrane protein.. Molecular Biology of the Cell. 7(12). 2029–2044. 481 indexed citations
18.
Gardner, Richard G.. (1985). ‘Piedmont’ Tomato. HortScience. 20(5). 960–961. 2 indexed citations
19.
Gardner, Richard G.. (1985). ‘Summit’ Tomato. HortScience. 20(4). 787–787. 2 indexed citations
20.
Gardner, Richard G., et al.. (1982). Breeding for Resistance to Verticillium dahliae Race 2 of Tomato in North Carolina1. Journal of the American Society for Horticultural Science. 107(4). 552–555. 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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