Dean J. Naylor

2.0k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Dean J. Naylor is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Dean J. Naylor has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Cell Biology. Recurrent topics in Dean J. Naylor's work include Heat shock proteins research (15 papers), Protein Structure and Dynamics (10 papers) and Enzyme Structure and Function (5 papers). Dean J. Naylor is often cited by papers focused on Heat shock proteins research (15 papers), Protein Structure and Dynamics (10 papers) and Enzyme Structure and Function (5 papers). Dean J. Naylor collaborates with scholars based in Australia, Germany and Switzerland. Dean J. Naylor's co-authors include Peter B. Høj, Nicholas J. Hoogenraad, Manajit Hayer‐Hartl, Michael J. Kerner, F. Ulrich Hartl, Costa Georgopoulos, Ryan D. Martinus, Yasushi Ishihama, Matthias Mann and Hung-Chun Chang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Dean J. Naylor

17 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proteome-wide Analysis of Chaperonin-Dependent Protein Folding in Escherichia coli

2005 519 citations Michael J. Kerner, Dean J. Naylor et al. Cell profile →

Peers

Dean J. Naylor

IMMUN

GENET

Shannon M. Doyle United States

Joachim Ostermann United States

Fernando Moro Spain

Moncef Ladjimi France

Olivier Genest France

Peter Sheffield United States

Elizabeth M. Hallberg United States

Fang‐Jen S. Lee Taiwan

Sophie Quevillon‐Chéruel France

Yeon‐Gil Kim South Korea

Shannon M. Doyle United States

Dean J. Naylor

1.4k ×1.0

384 ×0.8

328 ×1.2

162 ×1.1

IMMUN

166 ×1.3

GENET

Citations per year, relative to Dean J. Naylor Dean J. Naylor (= 1×) peers Shannon M. Doyle

Countries citing papers authored by Dean J. Naylor

Since Specialization

Citations

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

Fields of papers citing papers by Dean J. Naylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean J. Naylor

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

All Works

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17 of 17 papers shown

Kulkarni, Onkar P., Masahiro Ryu, Miklós Sárdy, et al.. (2011). Recombinant chaperonin 10 suppresses cutaneous lupus and lupus nephritis in MRL-(Fas)lpr mice. Nephrology Dialysis Transplantation. 27(4). 1358–1367. 17 indexed citations

Kerner, Michael J., Dean J. Naylor, Yasushi Ishihama, et al.. (2005). Proteome-wide Analysis of Chaperonin-Dependent Protein Folding in Escherichia coli. Cell. 122(2). 209–220. 519 indexed citations breakdown →

Johnson, Barbara J., Thuy T. Le, Tatjana Banovic, et al.. (2004). Heat Shock Protein 10 Inhibits Lipopolysaccharide-induced Inflammatory Mediator Production. Journal of Biological Chemistry. 280(6). 4037–4047. 127 indexed citations

Ang, Debbie, Dean J. Naylor, Michael J. Kerner, et al.. (2004). Functional Characterization of an Archaeal GroEL/GroES Chaperonin System. Journal of Biological Chemistry. 279(2). 1090–1099. 21 indexed citations

Haas, Bernd, Dean J. Naylor, Günter Pfeifer, et al.. (2003). Coexistence of Group I and Group II Chaperonins in the Archaeon Methanosarcina mazei. Journal of Biological Chemistry. 278(35). 33256–33267. 52 indexed citations

Brinker, Achim, et al.. (2001). Dual Function of Protein Confinement in Chaperonin-Assisted Protein Folding. Cell. 107(2). 223–233. 248 indexed citations

Naylor, Dean J. & F. Ulrich Hartl. (2001). Contribution of molecular chaperones to protein folding in the cytoplasm of prokaryotic and eukaryotic cells. Biochemical Society Symposia. 68(68). 45–68. 34 indexed citations

Naylor, Dean J., Nicholas J. Hoogenraad, & Peter B. Høj. (1999). Characterisation of several Hsp70 interacting proteins from mammalian organelles. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1431(2). 443–450. 6 indexed citations

Naylor, Dean J., et al.. (1999). Proline Accumulation in Developing Grapevine Fruit Occurs Independently of Changes in the Levels of Δ1-Pyrroline-5-Carboxylate Synthetase mRNA or Protein1. PLANT PHYSIOLOGY. 120(3). 923–923. 100 indexed citations

10.

Naylor, Dean J., et al.. (1998). Evidence for the Existence of Distinct Mammalian Cytosolic, Microsomal, and Two Mitochondrial GrpE-like Proteins, the Co-chaperones of Specific Hsp70 Members. Journal of Biological Chemistry. 273(33). 21169–21177. 38 indexed citations

11.

Ryan, Michael T., Dean J. Naylor, P B Høj, Margaret S. Clark, & Nicholas J. Hoogenraad. (1997). The Role of Molecular Chaperones in Mitochondrial Protein Import and Folding. International review of cytology. 174. 127–193. 46 indexed citations

12.

Martinus, Ryan D., et al.. (1996). Selective Induction of Mitochondrial Chaperones in Response to Loss of the Mitochondrial Genome. European Journal of Biochemistry. 240(1). 98–103. 288 indexed citations

13.

Naylor, Dean J., Nicholas J. Hoogenraad, & Peter B. Høj. (1996). Isolation and characterisation of a cDNA encoding rat mitochondrial GrpE, a stress‐inducible nucleotide‐exchange factor of ubiquitous appearance in mammalian organs. FEBS Letters. 396(2-3). 181–188. 29 indexed citations

14.

Naylor, Dean J., et al.. (1995). Affinity-purification and identification of GrpE homologues from mammalian mitochondria. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1248(1). 75–79. 15 indexed citations

15.

Ryan, Michael T., et al.. (1995). Affinity Purification, Overexpression, and Characterization of Chaperonin 10 Homologues Synthesized with and without N-terminal Acetylation. Journal of Biological Chemistry. 270(37). 22037–22043. 26 indexed citations

16.

Martinus, Ryan D., et al.. (1995). Role of chaperones in the biogenesis and maintenance of the mitochondrion. The FASEB Journal. 9(5). 371–378. 43 indexed citations

17.

Naylor, Dean J., et al.. (1994). cDNA Cloning and Efficient Mitochondrial Import of Pre-mtHSP70 from Rat Liver. DNA and Cell Biology. 13(12). 1213–1220. 39 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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