David Coe

1.7k total citations
27 papers, 1.1k citations indexed

About

David Coe is a scholar working on Immunology, Physiology and Surgery. According to data from OpenAlex, David Coe has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in David Coe's work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (14 papers) and Immunotherapy and Immune Responses (12 papers). David Coe is often cited by papers focused on Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (14 papers) and Immunotherapy and Immune Responses (12 papers). David Coe collaborates with scholars based in United Kingdom, United States and Italy. David Coe's co-authors include Jian‐Guo Chai, Federica M. Marelli‐Berg, Julian Dyson, Caroline Addey, Matthew White, Hongmei Fu, Elizabeth Simpson, Guosu Wang, Madhav Kishore and Diane Scott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

David Coe

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Coe United Kingdom 18 681 247 223 124 85 27 1.1k
Haoyang Zhuang United States 20 754 1.1× 298 1.2× 179 0.8× 89 0.7× 127 1.5× 34 1.2k
Nicolas Molnarfi Switzerland 21 941 1.4× 314 1.3× 240 1.1× 93 0.8× 53 0.6× 30 1.5k
Shoko Kuroda Japan 17 560 0.8× 363 1.5× 198 0.9× 174 1.4× 47 0.6× 24 1.1k
Jun‐Ichi Masuyama Japan 15 424 0.6× 243 1.0× 186 0.8× 97 0.8× 76 0.9× 33 896
Fumitaka Terabe Japan 12 463 0.7× 234 0.9× 365 1.6× 137 1.1× 48 0.6× 16 1.1k
Ilona Gutcher Germany 11 891 1.3× 438 1.8× 275 1.2× 77 0.6× 66 0.8× 13 1.4k
Fuencisla Matesanz Spain 21 579 0.9× 344 1.4× 217 1.0× 92 0.7× 50 0.6× 56 1.2k
Chantel McSkimming United States 14 684 1.0× 248 1.0× 137 0.6× 215 1.7× 81 1.0× 21 951
Katrien Van Raemdonck United States 16 377 0.6× 268 1.1× 249 1.1× 81 0.7× 43 0.5× 21 919
Amanda A. Watkins United States 9 520 0.8× 219 0.9× 232 1.0× 248 2.0× 145 1.7× 12 884

Countries citing papers authored by David Coe

Since Specialization
Citations

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

Fields of papers citing papers by David Coe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Coe

This figure shows the co-authorship network connecting the top 25 collaborators of David Coe. A scholar is included among the top collaborators of David Coe 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 David Coe. David Coe 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.
2.
Coe, David, Hongmei Fu, Fabrizia Bonacina, et al.. (2022). Loss of voltage-gated hydrogen channel 1 expression reveals heterogeneous metabolic adaptation to intracellular acidification by T cells. JCI Insight. 7(10). 13 indexed citations
3.
Bonacina, Fabrizia, Annalisa Moregola, Monika Svecla, et al.. (2022). The low-density lipoprotein receptor–mTORC1 axis coordinates CD8+ T cell activation. The Journal of Cell Biology. 221(11). 18 indexed citations
4.
Fu, Hongmei, Maryam Jangani, Guosu Wang, et al.. (2019). A Subset of CCL25-Induced Gut-Homing T Cells Affects Intestinal Immunity to Infection and Cancer. Frontiers in Immunology. 10. 271–271. 20 indexed citations
5.
Bonacina, Fabrizia, David Coe, Guosu Wang, et al.. (2018). Myeloid apolipoprotein E controls dendritic cell antigen presentation and T cell activation. Nature Communications. 9(1). 3083–3083. 111 indexed citations
6.
Kishore, Madhav, Kenneth Cheung, Hongmei Fu, et al.. (2018). Regulatory T Cell Migration Is Dependent on Glucokinase-Mediated Glycolysis. Immunity. 48(4). 831–832. 30 indexed citations
7.
Mauro, Claudio, Joanne Smith, Danilo Cucchi, et al.. (2017). Obesity-Induced Metabolic Stress Leads to Biased Effector Memory CD4 + T Cell Differentiation via PI3K p110δ-Akt-Mediated Signals. Cell Metabolism. 25(3). 593–609. 116 indexed citations
8.
Coe, David, Guosu Wang, Robert Haas, et al.. (2015). Hepatocyte Growth Factor Receptor c-Met Instructs T Cell Cardiotropism and Promotes T Cell Migration to the Heart via Autocrine Chemokine Release. Immunity. 42(6). 1087–1099. 74 indexed citations
9.
Fu, Hongmei, Madhav Kishore, Guosu Wang, et al.. (2014). Self-recognition of the endothelium enables regulatory T-cell trafficking and defines the kinetics of immune regulation. Nature Communications. 5(1). 3436–3436. 58 indexed citations
10.
Coe, David, Madhav Kishore, & Federica M. Marelli‐Berg. (2014). Metabolic Regulation of Regulatory T Cell Development and Function. Frontiers in Immunology. 5. 590–590. 37 indexed citations
11.
Coe, David, et al.. (2012). Distinct in vivo CD8 and CD4 T cell responses against normal and malignant tissues. Cancer Immunology Immunotherapy. 62(1). 101–112. 2 indexed citations
12.
Fu, Hongmei, David Coe, Jian‐Guo Chai, et al.. (2011). Arginine depletion as a mechanism for the immune privilege of corneal allografts. European Journal of Immunology. 41(10). 2997–3005. 16 indexed citations
13.
Addey, Caroline, David Coe, Daniel W. Stuckey, et al.. (2011). Molecular Mechanisms of Induction of Antigen-Specific Allograft Tolerance by Intranasal Peptide Administration. The Journal of Immunology. 186(10). 5719–5728. 6 indexed citations
14.
Addey, Caroline, Matthew White, Lang Dou, et al.. (2011). Functional Plasticity of Antigen-Specific Regulatory T Cells in Context of Tumor. The Journal of Immunology. 186(8). 4557–4564. 19 indexed citations
15.
16.
Baruah, Paramita, Elizabeth Simpson, Ingrid E. Dumitriu, et al.. (2010). Mice lacking C1q or C3 show accelerated rejection of minor H disparate skin grafts and resistance to induction of tolerance. European Journal of Immunology. 40(6). 1758–1767. 25 indexed citations
17.
Coe, David, et al.. (2010). Depletion of regulatory T cells by anti-GITR mAb as a novel mechanism for cancer immunotherapy. Cancer Immunology Immunotherapy. 59(9). 1367–1377. 123 indexed citations
18.
Chai, Jian‐Guo, David Coe, Daxin Chen, et al.. (2008). In Vitro Expansion Improves In Vivo Regulation by CD4+CD25+ Regulatory T Cells. The Journal of Immunology. 180(2). 858–869. 59 indexed citations
19.
Chai, Jian‐Guo, Shao‐An Xue, David Coe, et al.. (2005). Regulatory T Cells, Derived from Naïve CD4+CD25− T Cells by In Vitro Foxp3 Gene Transfer, Can Induce Transplantation Tolerance. Transplantation. 79(10). 1310–1316. 122 indexed citations
20.
Coe, David, et al.. (1966). Mechanism of Erythropoietic Action of Thyroid Hormone.. Experimental Biology and Medicine. 123(2). 443–446. 21 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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