W. Jonathan Ryves

1.1k total citations
18 papers, 967 citations indexed

About

W. Jonathan Ryves is a scholar working on Molecular Biology, Cell Biology and Pharmacology. According to data from OpenAlex, W. Jonathan Ryves has authored 18 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Pharmacology. Recurrent topics in W. Jonathan Ryves's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Ion channel regulation and function (3 papers). W. Jonathan Ryves is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Ion channel regulation and function (3 papers). W. Jonathan Ryves collaborates with scholars based in United Kingdom, France and United States. W. Jonathan Ryves's co-authors include Adrian J. Harwood, Rana Dajani, Laurence H. Pearl, Lee G.D. Fryer, Trevor Dale, Fred J. Evans, Robin S. B. Williams, Emma Dalton, Céline S. Nicolas and Zuner A. Bortolotto and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Developmental Biology.

In The Last Decade

W. Jonathan Ryves

17 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Jonathan Ryves United Kingdom 11 655 231 165 126 123 18 967
S. A. Whatley United Kingdom 18 692 1.1× 204 0.9× 214 1.3× 82 0.7× 126 1.0× 33 1.1k
Mary Kathryn Doud United States 8 972 1.5× 270 1.2× 234 1.4× 74 0.6× 72 0.6× 9 1.5k
P. Guarneri Italy 22 542 0.8× 500 2.2× 196 1.2× 96 0.8× 176 1.4× 38 1.3k
Hans H. Schiffer United States 21 726 1.1× 497 2.2× 68 0.4× 151 1.2× 97 0.8× 29 1.1k
Alessio Cardinale Italy 22 689 1.1× 175 0.8× 60 0.4× 75 0.6× 174 1.4× 34 1.1k
Kiyoshi Egawa Japan 16 444 0.7× 318 1.4× 157 1.0× 40 0.3× 54 0.4× 49 860
Izabela Figiel Poland 19 506 0.8× 352 1.5× 62 0.4× 90 0.7× 175 1.4× 35 1.1k
Chiara Vantaggiato Italy 19 676 1.0× 387 1.7× 79 0.5× 188 1.5× 232 1.9× 32 1.3k
Montse Iglesias Spain 7 645 1.0× 515 2.2× 67 0.4× 129 1.0× 214 1.7× 10 1.2k
Howard K. Plummer United States 18 651 1.0× 163 0.7× 53 0.3× 108 0.9× 85 0.7× 29 1.1k

Countries citing papers authored by W. Jonathan Ryves

Since Specialization
Citations

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

Fields of papers citing papers by W. Jonathan Ryves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Jonathan Ryves. 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 W. Jonathan Ryves. The network helps show where W. Jonathan Ryves may publish in the future.

Co-authorship network of co-authors of W. Jonathan Ryves

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

All Works

18 of 18 papers shown
1.
Teo, Regina, et al.. (2010). Glycogen Synthase Kinase-3 Is Required for EfficientDictyosteliumChemotaxis. Molecular Biology of the Cell. 21(15). 2788–2796. 19 indexed citations
2.
Peineau, Stéphane, Céline S. Nicolas, Zuner A. Bortolotto, et al.. (2009). A systematic investigation of the protein kinases involved in NMDA receptor-dependent LTD: evidence for a role of GSK-3 but not other serine/threonine kinases. Molecular Brain. 2(1). 22–22. 80 indexed citations
3.
Ryves, W. Jonathan & Adrian J. Harwood. (2006). Use of a Penetratin-Linked Peptide in Dictyostelium. Molecular Biotechnology. 33(2). 123–132. 5 indexed citations
4.
Ryves, W. Jonathan, Emma Dalton, Adrian J. Harwood, & Robin S. B. Williams. (2005). GSK‐3 activity in neocortical cells is inhibited by lithium but not carbamazepine or valproic acid. Bipolar Disorders. 7(3). 260–265. 47 indexed citations
5.
Ryves, W. Jonathan, Béatrice Blot, Rémy Sadoul, et al.. (2005). Dd-Alix, a conserved endosome-associated protein, controls Dictyostelium development. Developmental Biology. 279(1). 99–113. 9 indexed citations
6.
Ryves, W. Jonathan, Rana Dajani, Laurence H. Pearl, & Adrian J. Harwood. (2002). Glycogen Synthase Kinase-3 Inhibition by Lithium and Beryllium Suggests the Presence of Two Magnesium Binding Sites. Biochemical and Biophysical Research Communications. 290(3). 967–972. 88 indexed citations
7.
Ryves, W. Jonathan & Adrian J. Harwood. (2001). Lithium Inhibits Glycogen Synthase Kinase-3 by Competition for Magnesium. Biochemical and Biophysical Research Communications. 280(3). 720–725. 417 indexed citations
8.
Ryves, W. Jonathan, Lee G.D. Fryer, Trevor Dale, & Adrian J. Harwood. (1998). An Assay for Glycogen Synthase Kinase 3 (GSK-3) for Use in Crude Cell Extracts. Analytical Biochemistry. 264(1). 124–127. 67 indexed citations
9.
Roberts, Sarah A., W. Jonathan Ryves, & Fred J. Evans. (1997). The activation of the alpha isotype of protein kinase C by phorbol ester in Swiss 3T3 cells. Biochemical Society Transactions. 25(1). 45S–45S.
10.
Roberts, Sarah A., W. Jonathan Ryves, & Fred J. Evans. (1997). Translocation of the α and ε isotypes of protein kinase C in Swiss 3T3 cells in response to phorbol ester stimulation. Biochemical Society Transactions. 25(3). 458S–458S. 1 indexed citations
11.
Shehadeh, Mayadah B., et al.. (1996). Analysis and purification of phorbol esters using normal phase HPLC and photodiode-array detection. Journal of Pharmaceutical and Biomedical Analysis. 15(3). 393–401. 11 indexed citations
12.
Ryves, W. Jonathan, Lodewijk V. Dekker, Michael J. Brammer, & Iain C. Campbell. (1996). PKC in rat cortical synaptosomes. Neuroreport. 8(1). 323–327. 6 indexed citations
13.
Sharma, Pawan K., W. Jonathan Ryves, A.T. Evans, et al.. (1995). Properties of a Resiniferatoxin-stimulated, Calcium Inhibited but Phosphatidylserine-dependent Kinase, which is Distinct from Protein Kinase C Isotypes α, β1γ, δ, ε and η. Journal of Pharmacy and Pharmacology. 47(4). 297–306. 3 indexed citations
14.
Ryves, W. Jonathan, et al.. (1994). Inhibitors of protein kinase C. Cellular Signalling. 6(8). 871–882. 146 indexed citations
15.
Ryves, W. Jonathan, et al.. (1994). HL-60 cell differentiation induced by phorbol- and 12-deoxyphorbol-esters. Carcinogenesis. 15(11). 2501–2506. 11 indexed citations
16.
Kiley, Susan C., Andrée R. Olivier, W. Jonathan Ryves, et al.. (1994). 12-Deoxyphorbol-13-O-phenylacetate-20-acetate is not protein kinase C-β isozyme-selective in vivo. Carcinogenesis. 15(2). 319–324. 21 indexed citations
17.
Darcy, Patricia, et al.. (1994). Semi‐synthesis of C203H‐resiniferatoxin. Phytotherapy Research. 8(6). 362–364. 3 indexed citations
18.
Evans, Fred J., Peter J. Parker, Andrée R. Olivier, et al.. (1991). Phorbol ester activation of the isotypes of protein kinase C from bovine and rat brain. Biochemical Society Transactions. 19(2). 397–402. 33 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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