Jonathan M. Dermott

703 total citations
10 papers, 608 citations indexed

About

Jonathan M. Dermott is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jonathan M. Dermott has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Surgery. Recurrent topics in Jonathan M. Dermott's work include Protein Kinase Regulation and GTPase Signaling (7 papers), Metabolism, Diabetes, and Cancer (3 papers) and RNA modifications and cancer (2 papers). Jonathan M. Dermott is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (7 papers), Metabolism, Diabetes, and Cancer (3 papers) and RNA modifications and cancer (2 papers). Jonathan M. Dermott collaborates with scholars based in United States and South Korea. Jonathan M. Dermott's co-authors include N. Dhanasekaran, Djamila Onésime, Gary L. Johnson, Lynn E. Heasley, Sandra J. Wadsworth, Jonathan R. Keller, Benyam Asefa, Ji Hee Ha, Chang Ho Lee and E. Premkumar Reddy and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and FEBS Letters.

In The Last Decade

Jonathan M. Dermott

10 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan M. Dermott United States	9	506	83	70	62	59	10	608
Anna Lina Cavallo Italy	8	358 0.7×	67 0.8×	54 0.8×	47 0.8×	56 0.9×	9	507
Stephan Ryser Switzerland	18	475 0.9×	94 1.1×	50 0.7×	103 1.7×	76 1.3×	22	717
А. Г. Бабич Germany	9	507 1.0×	64 0.8×	91 1.3×	69 1.1×	81 1.4×	13	678
Ning Deng China	9	452 0.9×	69 0.8×	122 1.7×	82 1.3×	136 2.3×	11	681
An Rykx Belgium	7	400 0.8×	75 0.9×	52 0.7×	50 0.8×	117 2.0×	8	523
Ann‐Kristin Arvidsson Sweden	11	408 0.8×	116 1.4×	60 0.9×	101 1.6×	143 2.4×	12	614
Luciana M. Laguinge United States	7	309 0.6×	122 1.5×	40 0.6×	74 1.2×	40 0.7×	9	471
Елена Жукова United States	12	431 0.9×	76 0.9×	46 0.7×	45 0.7×	80 1.4×	22	573
Gerard T. Redpath United States	12	296 0.6×	71 0.9×	46 0.7×	43 0.7×	59 1.0×	17	512
Aleksander Baldys United States	14	336 0.7×	92 1.1×	60 0.9×	43 0.7×	104 1.8×	17	534

Countries citing papers authored by Jonathan M. Dermott

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan M. Dermott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan M. Dermott

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

All Works

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10 of 10 papers shown

Asefa, Benyam, Jonathan M. Dermott, Philipp Kaldis, et al.. (2006). p205, A potential tumor suppressor, inhibits cell proliferation via multiple pathways of cell cycle regulation. FEBS Letters. 580(5). 1205–1214. 26 indexed citations

Dermott, Jonathan M., Ji Hee Ha, Chang Ho Lee, & N. Dhanasekaran. (2004). Differential regulation of Jun N-terminal kinase and p38MAP kinase by Gα12. Oncogene. 23(1). 226–232. 24 indexed citations

Dermott, Jonathan M., John Gooya, Benyam Asefa, et al.. (2004). Inhibition of Growth by p205: A Nuclear Protein and Putative Tumor Suppressor Expressed during Myeloid Cell Differentiation. Stem Cells. 22(5). 832–848. 17 indexed citations

Dermott, Jonathan M. & N. Dhanasekaran. (2002). Determining Cellular Role of Gα12. Methods in enzymology on CD-ROM/Methods in enzymology. 344. 298–309. 8 indexed citations

Dermott, Jonathan M., Sandra J. Wadsworth, G. D. V. van Rossum, & N. Dhanasekaran. (2001). Activated mutant of G?12 enhances the hyperosmotic stress response of NIH3T3 cells. Journal of Cellular Biochemistry. 81(1). 1–8. 8 indexed citations

Dermott, Jonathan M., et al.. (1999). Oncogenic mutant of Gα12 stimulates cell proliferation through cycloxygenase-2 signaling pathway. Oncogene. 18(51). 7185–7189. 23 indexed citations

Dhanasekaran, N., et al.. (1998). Regulation of cell proliferation by G proteins. Oncogene. 17(11). 1383–1394. 124 indexed citations

Dhanasekaran, N. & Jonathan M. Dermott. (1996). Signaling by the G Class of G Proteins. Cellular Signalling. 8(4). 235–245. 118 indexed citations

Dermott, Jonathan M., et al.. (1995). Activation of Jun Kinase/Stress-activated Protein Kinase by GTPase-deficient Mutants of Gα12 and Gα13. Journal of Biological Chemistry. 270(31). 18655–18659. 167 indexed citations

10.

Dhanasekaran, N., et al.. (1994). Protein kinase C-dependent and -independent activation of Na+/H+ exchanger by G alpha 12 class of G proteins.. Journal of Biological Chemistry. 269(16). 11802–11806. 93 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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