John Didsbury

4.5k total citations
28 papers, 2.4k citations indexed

About

John Didsbury is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, John Didsbury has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in John Didsbury's work include Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). John Didsbury is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Neuropeptides and Animal Physiology (5 papers). John Didsbury collaborates with scholars based in United States, Netherlands and Germany. John Didsbury's co-authors include Ralph Snyderman, R F Weber, Timothy A. Evans, Gary Bokoch, Eric D. Tomhave, Luc Ménard, Ricardo M. Richardson, Д. В. Коваленко, Sergei S. Makarov and Alexei Miagkov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

John Didsbury

26 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Didsbury United States 19 1.4k 737 373 373 255 28 2.4k
K. Y. Hui United States 8 2.1k 1.4× 456 0.6× 462 1.2× 375 1.0× 277 1.1× 15 3.0k
Elora J. Weringer United States 12 1.1k 0.8× 496 0.7× 344 0.9× 297 0.8× 208 0.8× 14 2.3k
John Coadwell United Kingdom 24 2.3k 1.6× 788 1.1× 339 0.9× 676 1.8× 214 0.8× 38 3.3k
Hanne H. Rasmussen Denmark 36 3.1k 2.1× 744 1.0× 346 0.9× 501 1.3× 248 1.0× 45 4.1k
Donald J. Fujita Canada 26 2.1k 1.4× 443 0.6× 625 1.7× 412 1.1× 111 0.4× 46 2.8k
Jacques Portoukalian France 27 1.8k 1.3× 812 1.1× 301 0.8× 354 0.9× 321 1.3× 105 2.9k
Franz‐Josef Johannes Germany 22 2.3k 1.6× 733 1.0× 333 0.9× 530 1.4× 194 0.8× 26 3.2k
Michael P. Scheid Canada 23 2.7k 1.9× 573 0.8× 564 1.5× 403 1.1× 370 1.5× 35 3.8k
Yvona Ward United States 27 2.6k 1.8× 726 1.0× 802 2.2× 524 1.4× 167 0.7× 39 3.6k
Deborah H. Anderson Canada 24 2.8k 2.0× 641 0.9× 732 2.0× 780 2.1× 171 0.7× 59 3.9k

Countries citing papers authored by John Didsbury

Since Specialization
Citations

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

Fields of papers citing papers by John Didsbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Didsbury

This figure shows the co-authorship network connecting the top 25 collaborators of John Didsbury. A scholar is included among the top collaborators of John Didsbury 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 John Didsbury. John Didsbury 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
3.
Chamberlain, Stanley D., et al.. (2019). An Exploratory Phase IIa Study of the PPAR delta/gamma Agonist T3D-959 Assessing Metabolic and Cognitive Function in Subjects with Mild to Moderate Alzheimer’s Disease. Journal of Alzheimer s Disease. 73(3). 1085–1103. 39 indexed citations
4.
Monte, Suzanne M. de la, et al.. (2016). Improved Brain Insulin/IGF Signaling and Reduced Neuroinflammation with T3D-959 in an Experimental Model of Sporadic Alzheimer’s Disease. Journal of Alzheimer s Disease. 55(2). 849–864. 59 indexed citations
6.
Didsbury, John & Suzanne de la Monte. (2015). P4‐318: T3D‐959: A multi‐faceted disease remedial drug candidate for the treatment of Alzheimer's disease. Alzheimer s & Dementia. 11(7S_Part_19). 3 indexed citations
7.
Miagkov, Alexei, Д. В. Коваленко, John Didsbury, et al.. (1998). NF-κB activation provides the potential link between inflammation and hyperplasia in the arthritic joint. Proceedings of the National Academy of Sciences. 95(23). 13859–13864. 397 indexed citations
8.
Moss, Marcia L., Chunyang Jin, William Burkhart, et al.. (1997). STRUCTURAL FEATURES AND BIOCHEMICAL PROPERTIES OF TNF-ALPHA CONVERTASE. Shock. 7(Supplement). 76–77.
9.
Tomhave, Eric D., Ricardo M. Richardson, John Didsbury, et al.. (1994). Cross-desensitization of receptors for peptide chemoattractants. Characterization of a new form of leukocyte regulation.. The Journal of Immunology. 153(7). 3267–3275. 147 indexed citations
10.
Ali, Hydar, Ricardo M. Richardson, Eric D. Tomhave, John Didsbury, & Ralph Snyderman. (1993). Differences in phosphorylation of formylpeptide and C5a chemoattractant receptors correlate with differences in desensitization.. Journal of Biological Chemistry. 268(32). 24247–24254. 148 indexed citations
11.
Ménard, Luc, Eric D. Tomhave, Patrick J. Casey, et al.. (1992). Rac1, a low‐molecular‐mass GTP‐binding‐protein with high intrinsic GTPase activity and distinct biochemical properties. European Journal of Biochemistry. 206(2). 537–546. 46 indexed citations
12.
Hiraoka, Kunihiko, Kozo Kaibuchi, Satoshi Ando, et al.. (1992). Both stimulatory and inhibitory exchange proteins, smg GDS and rho GDI, are active on multiple small GTP-binding proteins. Biochemical and Biophysical Research Communications. 182(2). 921–930. 104 indexed citations
13.
Uhing, Ronald J., Thomas W. Gettys, Eric D. Tomhave, Ralph Snyderman, & John Didsbury. (1992). Differential regulation of cAMP by endogenous versus transfected fornylpeptide chemoattractant receptors: Implications for Gi-coupled receptor signaling. Biochemical and Biophysical Research Communications. 183(3). 1033–1039. 12 indexed citations
14.
Didsbury, John, Ronald J. Uhing, & Ralph Snyderman. (1990). Isoprenylation of the low molecular mass GTP-binding proteins rac 1 and rac 2: Possible role in membrane localization. Biochemical and Biophysical Research Communications. 171(2). 804–812. 44 indexed citations
16.
Didsbury, John, R F Weber, Gary Bokoch, Timothy A. Evans, & Ralph Snyderman. (1989). rac, a novel ras-related family of proteins that are botulinum toxin substrates. Journal of Biological Chemistry. 264(28). 16378–16382. 478 indexed citations
17.
Didsbury, John & Ralph Snyderman. (1987). Molecular cloning of a novel human GTP-binding protein and its potential role in chemoattractant stimulus-response coupling.. PubMed. 100. 99–108. 5 indexed citations
18.
Didsbury, John & Ralph Snyderman. (1987). Molecular cloning of a new human G protein Evidence for two G‐like protein families. FEBS Letters. 219(1). 259–263. 52 indexed citations
19.
Didsbury, John, E C Theil, Russel E. Kaufman, & L F Dickey. (1986). Multiple red cell ferritin mRNAs, which code for an abundant protein in the embryonic cell type, analyzed by cDNA sequence and by primer extension of the 5'-untranslated regions.. Journal of Biological Chemistry. 261(2). 949–955. 63 indexed citations
20.
Didsbury, John, Joan M. Moehring, & Thomas J. Moehring. (1983). Binding and Uptake of Diphtheria Toxin by Toxin-Resistant Chinese Hamster Ovary and Mouse Cells. Molecular and Cellular Biology. 3(7). 1283–1294. 11 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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