Emma C. L. Cook

831 total citations
19 papers, 640 citations indexed

About

Emma C. L. Cook is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Emma C. L. Cook has authored 19 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Emma C. L. Cook's work include Cholesterol and Lipid Metabolism (7 papers), Cancer, Lipids, and Metabolism (4 papers) and Research on Leishmaniasis Studies (4 papers). Emma C. L. Cook is often cited by papers focused on Cholesterol and Lipid Metabolism (7 papers), Cancer, Lipids, and Metabolism (4 papers) and Research on Leishmaniasis Studies (4 papers). Emma C. L. Cook collaborates with scholars based in Netherlands, Spain and Australia. Emma C. L. Cook's co-authors include Noam Zelcer, Andrew J. Brown, Laura J. Sharpe, Anke Loregger, Ika Kristiana, Julian Stevenson, Lisa Phan, Saskia Scheij, Tanja Konijn and Rosalie Molenaar and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Emma C. L. Cook

19 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emma C. L. Cook Netherlands 12 366 167 129 106 106 19 640
Tzu‐Ming Jao Taiwan 13 461 1.3× 57 0.3× 265 2.1× 109 1.0× 92 0.9× 21 903
Damien V. Cordery Australia 11 290 0.8× 307 1.8× 133 1.0× 90 0.8× 29 0.3× 21 709
AnnMarie Torres United States 6 408 1.1× 65 0.4× 69 0.5× 125 1.2× 193 1.8× 10 685
Thomas G. Verriere United States 13 356 1.0× 206 1.2× 233 1.8× 194 1.8× 32 0.3× 15 739
Irene Kyrmizi Greece 8 311 0.8× 176 1.1× 104 0.8× 302 2.8× 55 0.5× 10 769
Qingming Dong China 14 228 0.6× 74 0.4× 134 1.0× 226 2.1× 67 0.6× 35 764
Shoichiro Kameoka Japan 8 459 1.3× 53 0.3× 151 1.2× 214 2.0× 39 0.4× 10 719
Nadine Waldschmitt Germany 11 447 1.2× 82 0.5× 153 1.2× 112 1.1× 56 0.5× 17 763
Graham F. Brady United States 13 548 1.5× 72 0.4× 305 2.4× 145 1.4× 41 0.4× 21 848
Ryan Crane United States 11 218 0.6× 84 0.5× 239 1.9× 125 1.2× 47 0.4× 20 710

Countries citing papers authored by Emma C. L. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Emma C. L. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma C. L. Cook. 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 Emma C. L. Cook. The network helps show where Emma C. L. Cook may publish in the future.

Co-authorship network of co-authors of Emma C. L. Cook

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

All Works

19 of 19 papers shown
1.
Cueto, Francisco J., Emma C. L. Cook, Iñaki Robles‐Vera, et al.. (2022). Conventional type 1 dendritic cells protect against age-related adipose tissue dysfunction and obesity. Cellular and Molecular Immunology. 19(2). 260–275. 20 indexed citations
2.
Cook, Emma C. L., et al.. (2022). Dendritic cells in energy balance regulation. Immunology Letters. 253. 19–27. 3 indexed citations
3.
Cook, Emma C. L., et al.. (2022). Obesity can turn a therapy into an antitherapy in atopic dermatitis. Allergy. 77(11). 3473–3475. 1 indexed citations
4.
5.
Khouili, Sofía C., et al.. (2020). SHP-1 Regulates Antigen Cross-Presentation and Is Exploited by Leishmania to Evade Immunity. Cell Reports. 33(9). 108468–108468. 12 indexed citations
6.
Ramírez, Laura, Emma C. L. Cook, Silvia Sacristán, et al.. (2020). Subcutaneous Immunization of Leishmania HSP70-II Null Mutant Line Reduces the Severity of the Experimental Visceral Leishmaniasis in BALB/c Mice. Vaccines. 8(1). 141–141. 11 indexed citations
7.
Acín‐Pérez, Rebeca, Salvador Iborra, Emma C. L. Cook, et al.. (2020). Fgr kinase is required for proinflammatory macrophage activation during diet-induced obesity. Nature Metabolism. 2(9). 974–988. 56 indexed citations
8.
Soto, Manuel, Laura Ramírez, Emma C. L. Cook, et al.. (2020). Resistance to Experimental Visceral Leishmaniasis in Mice Infected With Leishmania infantum Requires Batf3. Frontiers in Immunology. 11. 590934–590934. 4 indexed citations
9.
10.
Goverse, Gera, Rosalie Molenaar, Laurence Macia, et al.. (2017). Diet-Derived Short Chain Fatty Acids Stimulate Intestinal Epithelial Cells To Induce Mucosal Tolerogenic Dendritic Cells. The Journal of Immunology. 198(5). 2172–2181. 162 indexed citations
11.
Nelson, Jessica K., Duco S. Koenis, Saskia Scheij, et al.. (2017). EEPD1 Is a Novel LXR Target Gene in Macrophages Which Regulates ABCA1 Abundance and Cholesterol Efflux. Arteriosclerosis Thrombosis and Vascular Biology. 37(3). 423–432. 34 indexed citations
12.
Cook, Emma C. L., Jessica K. Nelson, Vincenzo Sorrentino, et al.. (2017). Identification of the ER-resident E3 ubiquitin ligase RNF145 as a novel LXR-regulated gene. PLoS ONE. 12(2). e0172721–e0172721. 23 indexed citations
13.
Loregger, Anke, Emma C. L. Cook, Jessica K. Nelson, et al.. (2016). A MARCH6 and IDOL E3 ubiquitin ligase circuit uncouples cholesterol synthesis from lipoprotein uptake in hepatocytes. Atherosclerosis. 252. e250–e250. 4 indexed citations
14.
Nelson, Jessica K., Emma C. L. Cook, Anke Loregger, et al.. (2015). Deubiquitylase Inhibition Reveals Liver X Receptor-independent Transcriptional Regulation of the E3 Ubiquitin Ligase IDOL and Lipoprotein Uptake. Journal of Biological Chemistry. 291(9). 4813–4825. 16 indexed citations
15.
Loregger, Anke, Emma C. L. Cook, Martina Moeton, et al.. (2015). A MARCH6 and IDOL E3 Ubiquitin Ligase Circuit Uncouples Cholesterol Synthesis from Lipoprotein Uptake in Hepatocytes. Molecular and Cellular Biology. 36(2). 285–294. 37 indexed citations
16.
Zelcer, Noam, Laura J. Sharpe, Anke Loregger, et al.. (2014). The E3 Ubiquitin Ligase MARCH6 Degrades Squalene Monooxygenase and Affects 3-Hydroxy-3-Methyl-Glutaryl Coenzyme A Reductase and the Cholesterol Synthesis Pathway. Molecular and Cellular Biology. 34(7). 1262–1270. 135 indexed citations
17.
Sharpe, Laura J., Emma C. L. Cook, Noam Zelcer, & Andrew J. Brown. (2014). The UPS and downs of cholesterol homeostasis. Trends in Biochemical Sciences. 39(11). 527–535. 56 indexed citations
18.
Goverse, Gera, Brenda J. Olivier, Rosalie Molenaar, et al.. (2014). Vitamin A metabolism and mucosal immune function are distinct between BALB/c and C57BL/6 mice. European Journal of Immunology. 45(1). 89–100. 25 indexed citations
19.
Ansoborlo, É., Claudia Santucci, Lorrie Boucher, et al.. (2007). Development of a database: DACTARI for a radiotoxic element ranking methodology. Radiation Protection Dosimetry. 127(1-4). 526–530. 1 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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