Peter M. Douglas

2.0k total citations
28 papers, 1.5k citations indexed

About

Peter M. Douglas is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, Peter M. Douglas has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Aging and 9 papers in Physiology. Recurrent topics in Peter M. Douglas's work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Heat shock proteins research (8 papers). Peter M. Douglas is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (12 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Heat shock proteins research (8 papers). Peter M. Douglas collaborates with scholars based in United States and Brazil. Peter M. Douglas's co-authors include Andrew Dillin, Douglas Cyr, Gerard Manning, Daniel W. Summers, David Vı́lchez, Ianessa Morantte, Zheng Liu, Carsten Merkwirth, Ana P. C. Rodrigues and Hong-Yu Ren and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter M. Douglas

27 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter M. Douglas United States 17 986 495 434 330 259 28 1.5k
Johnathan Labbadia United Kingdom 7 1.1k 1.1× 508 1.0× 535 1.2× 376 1.1× 207 0.8× 9 1.7k
Popi Syntichaki Greece 18 1.1k 1.1× 575 1.2× 289 0.7× 249 0.8× 270 1.0× 25 1.7k
Tali Gidalevitz United States 16 1.3k 1.3× 439 0.9× 829 1.9× 308 0.9× 247 1.0× 23 1.9k
Prajwal Ciryam United States 16 1.0k 1.1× 227 0.5× 272 0.6× 418 1.3× 139 0.5× 27 1.5k
Rhoda Stefanatos United Kingdom 17 881 0.9× 212 0.4× 238 0.5× 230 0.7× 170 0.7× 21 1.6k
Juan Cabello Spain 20 653 0.7× 438 0.9× 168 0.4× 192 0.6× 74 0.3× 44 1.3k
Kyu‐Sun Lee South Korea 21 984 1.0× 150 0.3× 246 0.6× 241 0.7× 193 0.7× 31 1.5k
Márton L. Tóth United States 12 479 0.5× 511 1.0× 155 0.4× 218 0.7× 394 1.5× 13 1.1k
Janne M. Toivonen Spain 19 1.2k 1.2× 596 1.2× 96 0.2× 338 1.0× 246 0.9× 41 2.1k
Sawako Yoshina Japan 19 561 0.6× 438 0.9× 168 0.4× 167 0.5× 73 0.3× 45 1.0k

Countries citing papers authored by Peter M. Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter M. Douglas

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Douglas. A scholar is included among the top collaborators of Peter M. Douglas 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 Peter M. Douglas. Peter M. Douglas 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
1.
Zuurbier, Kielen R., et al.. (2024). Cytosolic dopamine determines hypersensitivity to blunt force trauma. iScience. 27(6). 110094–110094. 2 indexed citations
2.
Zuurbier, Kielen R., et al.. (2024). Yin Yang 1 and guanine quadruplexes protect dopaminergic neurons from cellular stress via transmissive dormancy. Nature Communications. 15(1). 10592–10592. 1 indexed citations
3.
Fonseca, Rene Solano, et al.. (2023). A framework for intestinal barrier dysfunction in aging. Nature Aging. 3(10). 1172–1174. 13 indexed citations
4.
McClendon, Jacob, et al.. (2022). Loss of heat shock factor initiates intracellular lipid surveillance by actin destabilization. Cell Reports. 41(3). 111493–111493. 13 indexed citations
5.
Fonseca, Rene Solano, et al.. (2022). Intracellular lipid surveillance by small G protein geranylgeranylation. Nature. 605(7911). 736–740. 16 indexed citations
6.
Traylor, Jeffrey I., Tarek Y. El Ahmadieh, Sonja E. Stutzman, et al.. (2021). Quantitative pupillometry in patients with traumatic brain injury and loss of consciousness: A prospective pilot study. Journal of Clinical Neuroscience. 91. 88–92. 18 indexed citations
7.
Fonseca, Rene Solano, et al.. (2021). Trauma-induced regulation of VHP-1 modulates the cellular response to mechanical stress. Nature Communications. 12(1). 1484–1484. 10 indexed citations
8.
Fonseca, Rene Solano, Yingjian Liu, Kielen R. Zuurbier, et al.. (2021). Glycolytic preconditioning in astrocytes mitigates trauma-induced neurodegeneration. eLife. 10. 17 indexed citations
9.
Peng, Hui, Prema L. Mallipeddi, Hanspeter Niederstrasser, et al.. (2020). Simultaneous Control of Endogenous and User-Defined Genetic Pathways Using Unique ecDHFR Pharmacological Chaperones. Cell chemical biology. 27(5). 622–634.e6. 9 indexed citations
10.
Wales, Pauline, Jacob McClendon, Rene Solano Fonseca, et al.. (2019). Age-Onset Phosphorylation of a Minor Actin Variant Promotes Intestinal Barrier Dysfunction. Developmental Cell. 51(5). 587–601.e7. 32 indexed citations
11.
12.
Wang, Chensu, Hanspeter Niederstrasser, Peter M. Douglas, et al.. (2017). Small-molecule TFEB pathway agonists that ameliorate metabolic syndrome in mice and extend C. elegans lifespan. Nature Communications. 8(1). 2270–2270. 120 indexed citations
13.
Douglas, Peter M., Milos Simic, Mark A. McCormick, et al.. (2015). Heterotypic Signals from Neural HSF-1 Separate Thermotolerance from Longevity. Cell Reports. 12(7). 1196–1204. 81 indexed citations
14.
Douglas, Peter M., Milos Simic, Ana R. Grant, et al.. (2014). HSF-1–mediated cytoskeletal integrity determines thermotolerance and life span. Science. 346(6207). 360–363. 133 indexed citations
15.
Vı́lchez, David, Ianessa Morantte, Zheng Liu, et al.. (2012). RPN-6 determines C. elegans longevity under proteotoxic stress conditions. Nature. 489(7415). 263–268. 340 indexed citations
16.
Douglas, Peter M. & Douglas Cyr. (2009). Interplay between protein homeostasis networks in protein aggregation and proteotoxicity. Biopolymers. 93(3). 229–236. 21 indexed citations
17.
Douglas, Peter M., Daniel W. Summers, Hong-Yu Ren, & Douglas Cyr. (2009). Reciprocal Efficiency of RNQ1 and Polyglutamine Detoxification in the Cytosol and Nucleus. Molecular Biology of the Cell. 20(19). 4162–4173. 32 indexed citations
18.
Summers, Daniel W., Peter M. Douglas, & Douglas Cyr. (2009). Prion propagation by Hsp40 molecular chaperones. Prion. 3(2). 59–64. 29 indexed citations
19.
Summers, Daniel W., Peter M. Douglas, Carlos H.I. Ramos, & Douglas Cyr. (2009). Polypeptide transfer from Hsp40 to Hsp70 molecular chaperones. Trends in Biochemical Sciences. 34(5). 230–233. 63 indexed citations
20.
Douglas, Peter M., Daniel W. Summers, & Douglas Cyr. (2009). Molecular chaperones antagonize proteotoxicity by differentially modulating protein aggregation pathways. Prion. 3(2). 51–58. 43 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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