Gordon Dueck

484 total citations
7 papers, 420 citations indexed

About

Gordon Dueck is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Gordon Dueck has authored 7 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in Gordon Dueck's work include Caveolin-1 and cellular processes (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Gordon Dueck is often cited by papers focused on Caveolin-1 and cellular processes (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Gordon Dueck collaborates with scholars based in Canada, United States and Netherlands. Gordon Dueck's co-authors include Andrew J. Halayko, Helmut Unruh, Reinoud Gosens, Johan Zaagsma, William T. Gerthoffer, Karol D. McNeill, Gerald L. Stelmack, Akira Yamasaki, Abdelilah S. Gounni and Herman Meurs and has published in prestigious journals such as American Journal of Respiratory Cell and Molecular Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology and Journal of Cellular and Molecular Medicine.

In The Last Decade

Gordon Dueck

7 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gordon Dueck Canada	7	247	157	116	109	58	7	420
V. I. Chubinskiy-Nadezhdin Russia	11	229 0.9×	168 1.1×	102 0.9×	68 0.6×	41 0.7×	38	397
Ko Momotani United States	12	276 1.1×	109 0.7×	62 0.5×	26 0.2×	39 0.7×	15	417
Amy M. Spinelli United States	8	220 0.9×	77 0.5×	111 1.0×	42 0.4×	79 1.4×	10	457
Amy Sanguinetti United States	9	359 1.5×	105 0.7×	190 1.6×	25 0.2×	87 1.5×	9	487
Mari Ekman Sweden	15	303 1.2×	84 0.5×	155 1.3×	34 0.3×	25 0.4×	30	541
Yun‐Qian Gao China	10	263 1.1×	44 0.3×	88 0.8×	30 0.3×	36 0.6×	18	393
Stephanie S. Dusaban United States	7	223 0.9×	61 0.4×	56 0.5×	62 0.6×	22 0.4×	7	349
Most. Nahid Parvin Japan	12	297 1.2×	63 0.4×	34 0.3×	83 0.8×	38 0.7×	15	362
Anastasia V. Sudarikova Russia	11	219 0.9×	109 0.7×	54 0.5×	54 0.5×	41 0.7×	33	325
Takeshi Imao Japan	4	235 1.0×	108 0.7×	43 0.4×	27 0.2×	47 0.8×	5	374

Countries citing papers authored by Gordon Dueck

Since Specialization

Citations

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

Fields of papers citing papers by Gordon Dueck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Dueck

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

All Works

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7 of 7 papers shown

Gosens, Reinoud, Gerald L. Stelmack, Sophie Bos, et al.. (2010). Caveolin-1 is required for contractile phenotype expression by airway smooth muscle cells. Journal of Cellular and Molecular Medicine. 15(11). 2430–2442. 37 indexed citations

Schaafsma, Dedmer, Gordon Dueck, Saeid Ghavami, et al.. (2010). The Mevalonate Cascade as a Target to Suppress Extracellular Matrix Synthesis by Human Airway Smooth Muscle. American Journal of Respiratory Cell and Molecular Biology. 44(3). 394–403. 54 indexed citations

Schmidt, Martina, Gordon Dueck, Hoeke A. Baarsma, et al.. (2008). GSK-3/β-catenin signaling axis in airway smooth muscle: role in mitogenic signaling. American Journal of Physiology-Lung Cellular and Molecular Physiology. 294(6). L1110–L1118. 37 indexed citations

Gosens, Reinoud, Gordon Dueck, Edward S. Rector, et al.. (2007). Cooperative regulation of GSK-3 by muscarinic and PDGF receptors is associated with airway myocyte proliferation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 293(5). L1348–L1358. 58 indexed citations

Gosens, Reinoud, Gordon Dueck, William T. Gerthoffer, et al.. (2007). p42/p44 MAP kinase activation is localized to caveolae-free membrane domains in airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 292(5). L1163–L1172. 28 indexed citations

Gosens, Reinoud, Gerald L. Stelmack, Gordon Dueck, et al.. (2007). Caveolae facilitate muscarinic receptor-mediated intracellular Ca²⁺mobilization and contraction in airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 293(6). L1406–L1418. 55 indexed citations

Gosens, Reinoud, Gerald L. Stelmack, Gordon Dueck, et al.. (2006). Role of caveolin-1 in p42/p44 MAP kinase activation and proliferation of human airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 291(3). L523–L534. 151 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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