Devin Dersh

1.8k total citations
20 papers, 1.1k citations indexed

About

Devin Dersh is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Devin Dersh has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Devin Dersh's work include Endoplasmic Reticulum Stress and Disease (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (5 papers). Devin Dersh is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (5 papers). Devin Dersh collaborates with scholars based in United States, Australia and France. Devin Dersh's co-authors include Jonathan W. Yewdell, Yair Argon, Davide Eletto, Jaroslav Hollý, Daniela Eletto, Tali Gidalevitz, Quanquan Ji, Longfei Jia, Yuanhui Mao and Shu‐Bing Qian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Nature reviews. Immunology.

In The Last Decade

Devin Dersh

19 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
Devin Dersh United States 13 645 337 315 204 171 20 1.1k
Chih-Hang Anthony Tang United States 21 754 1.2× 406 1.2× 458 1.5× 155 0.8× 244 1.4× 38 1.5k
Lawrence D. Schweitzer United States 9 920 1.4× 309 0.9× 190 0.6× 121 0.6× 200 1.2× 10 1.3k
Ho Lam Tang United States 13 644 1.0× 306 0.9× 169 0.5× 128 0.6× 103 0.6× 18 1.0k
Benjamin Gibert France 23 1.0k 1.6× 337 1.0× 144 0.5× 161 0.8× 95 0.6× 35 1.4k
Alex M. Jaeger United States 17 973 1.5× 303 0.9× 241 0.8× 225 1.1× 60 0.4× 20 1.3k
Maria Grazia Malabarba Italy 25 773 1.2× 486 1.4× 458 1.5× 576 2.8× 91 0.5× 32 1.7k
Toshihiko Kishimoto Japan 18 1.0k 1.6× 260 0.8× 276 0.9× 224 1.1× 147 0.9× 31 1.4k
Annett Koch Germany 17 1.4k 2.2× 401 1.2× 401 1.3× 105 0.5× 238 1.4× 17 1.7k
Danilo Ritz Switzerland 19 871 1.4× 383 1.1× 262 0.8× 229 1.1× 125 0.7× 40 1.3k
Elena Zelin United States 13 1.1k 1.7× 164 0.5× 167 0.5× 157 0.8× 131 0.8× 14 1.4k

Countries citing papers authored by Devin Dersh

Since Specialization
Citations

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

Fields of papers citing papers by Devin Dersh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devin Dersh

This figure shows the co-authorship network connecting the top 25 collaborators of Devin Dersh. A scholar is included among the top collaborators of Devin Dersh 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 Devin Dersh. Devin Dersh 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.
Seedhom, Mina O., Devin Dersh, Jaroslav Hollý, et al.. (2024). Paradoxical imbalance between activated lymphocyte protein synthesis capacity and rapid division rate. eLife. 12. 2 indexed citations
2.
Seedhom, Mina O., Devin Dersh, Jaroslav Hollý, et al.. (2023). Paradoxical imbalance between activated lymphocyte protein synthesis capacity and rapid division rate. eLife. 12.
3.
Papadaki, Georgia, et al.. (2023). Decoupling peptide binding from T cell receptor recognition with engineered chimeric MHC-I molecules. Frontiers in Immunology. 14. 1116906–1116906. 7 indexed citations
4.
Huang, Sihao, Wen Zhang, Christopher D. Katanski, et al.. (2021). Interferon inducible pseudouridine modification in human mRNA by quantitative nanopore profiling. Genome biology. 22(1). 330–330. 68 indexed citations
5.
Jia, Longfei, Yuanhui Mao, Quanquan Ji, et al.. (2020). Decoding mRNA translatability and stability from the 5′ UTR. Nature Structural & Molecular Biology. 27(9). 814–821. 145 indexed citations
6.
Dersh, Devin, Jaroslav Hollý, & Jonathan W. Yewdell. (2020). Author Correction: A few good peptides: MHC class I-based cancer immunosurveillance and immunoevasion. Nature reviews. Immunology. 20(10). 644–644. 11 indexed citations
7.
Dersh, Devin, Jaroslav Hollý, & Jonathan W. Yewdell. (2020). A few good peptides: MHC class I-based cancer immunosurveillance and immunoevasion. Nature reviews. Immunology. 21(2). 116–128. 186 indexed citations
8.
Dersh, Devin, James D. Phelan, Megan E. Gumina, et al.. (2020). Genome-wide Screens Identify Lineage- and Tumor-Specific Genes Modulating MHC-I- and MHC-II-Restricted Immunosurveillance of Human Lymphomas. Immunity. 54(1). 116–131.e10. 85 indexed citations
9.
Dersh, Devin, James D. Phelan, Megan E. Gumina, et al.. (2020). Genome-Wide Screens Identify Lineage- and Tumor-Specific Genes Modulating MHC-I and MHC-II Immunosurveillance in Human Lymphomas. SSRN Electronic Journal. 1 indexed citations
10.
Yewdell, Jonathan W., Devin Dersh, & Robin Fåhræus. (2019). Peptide Channeling: The Key to MHC Class I Immunosurveillance?. Trends in Cell Biology. 29(12). 929–939. 37 indexed citations
11.
Dersh, Devin, Jonathan W. Yewdell, & Jiajie Wei. (2019). A SIINFEKL-Based System to Measure MHC Class I Antigen Presentation Efficiency and Kinetics. Methods in molecular biology. 1988. 109–122. 25 indexed citations
12.
Paton, Adrienne W., James C. Paton, Francisco Borrego, et al.. (2018). Long Interleukin-22 Binding Protein Isoform-1 Is an Intracellular Activator of the Unfolded Protein Response. Frontiers in Immunology. 9. 2934–2934. 9 indexed citations
13.
Biswas, Chhanda, Sheila Rao, David M. Hyman, et al.. (2018). Tyrosine 870 of TLR9 is critical for receptor maturation rather than phosphorylation-dependent ligand-induced signaling. PLoS ONE. 13(7). e0200913–e0200913. 2 indexed citations
14.
Wei, Jiajie, Damien Zanker, Margery Smelkinson, et al.. (2017). Varied Role of Ubiquitylation in Generating MHC Class I Peptide Ligands. The Journal of Immunology. 198(10). 3835–3845. 28 indexed citations
15.
Dersh, Devin, et al.. (2016). Tay–Sachs disease mutations in HEXA target the α chain of hexosaminidase A to endoplasmic reticulum–associated degradation. Molecular Biology of the Cell. 27(24). 3813–3827. 39 indexed citations
16.
Dersh, Devin, S. Jones, Davide Eletto, John C. Christianson, & Yair Argon. (2014). OS-9 facilitates turnover of nonnative GRP94 marked by hyperglycosylation. Molecular Biology of the Cell. 25(15). 2220–2234. 28 indexed citations
17.
Eletto, Davide, Daniela Eletto, Devin Dersh, Tali Gidalevitz, & Yair Argon. (2014). Protein Disulfide Isomerase A6 Controls the Decay of IRE1α Signaling via Disulfide-Dependent Association. Molecular Cell. 53(4). 562–576. 192 indexed citations
18.
Eletto, Davide, Avinash Maganty, Daniela Eletto, et al.. (2012). Limitation of individual folding resources in the ER leads to outcomes distinct from the unfolded protein response. Journal of Cell Science. 125(Pt 20). 4865–75. 33 indexed citations
19.
Dersh, Devin, et al.. (2012). Stress and aging induce distinct polyQ protein aggregation states. Proceedings of the National Academy of Sciences. 109(26). 10587–10592. 48 indexed citations
20.
Eletto, Davide, Devin Dersh, & Yair Argon. (2010). GRP94 in ER quality control and stress responses. Seminars in Cell and Developmental Biology. 21(5). 479–485. 179 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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