Joseph M. Dybas

923 total citations
18 papers, 415 citations indexed

About

Joseph M. Dybas is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Joseph M. Dybas has authored 18 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Ecology. Recurrent topics in Joseph M. Dybas's work include Virus-based gene therapy research (4 papers), Bacteriophages and microbial interactions (4 papers) and Ubiquitin and proteasome pathways (4 papers). Joseph M. Dybas is often cited by papers focused on Virus-based gene therapy research (4 papers), Bacteriophages and microbial interactions (4 papers) and Ubiquitin and proteasome pathways (4 papers). Joseph M. Dybas collaborates with scholars based in United States, United Kingdom and Italy. Joseph M. Dybas's co-authors include Matthew D. Weitzman, András Fiser, Chris Boutell, Narcís Fernández‐Fuentes, Joseph Hughes, Milagros Collados Rodríguez, Christin Herrmann, Steven H. Seeholzer, Lynn A. Spruce and Paula Oliver and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Joseph M. Dybas

18 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph M. Dybas United States 13 243 130 112 64 56 18 415
Reetesh Raj Akhouri India 7 182 0.7× 132 1.0× 46 0.4× 33 0.5× 16 0.3× 12 426
K.C. Garbutt United States 5 399 1.6× 58 0.4× 133 1.2× 100 1.6× 36 0.6× 5 487
Janna M. Bigalke United States 10 296 1.2× 77 0.6× 249 2.2× 37 0.6× 64 1.1× 12 532
Nina Simon Germany 12 186 0.8× 156 1.2× 62 0.6× 30 0.5× 29 0.5× 19 501
Ryan C. Henrici United Kingdom 7 275 1.1× 40 0.3× 45 0.4× 40 0.6× 32 0.6× 10 463
Swati Saha India 16 306 1.3× 27 0.2× 148 1.3× 29 0.5× 53 0.9× 32 482
Erica Boni United States 6 254 1.0× 98 0.8× 59 0.5× 20 0.3× 26 0.5× 10 406
Stephen J. McAndrew United States 9 403 1.7× 93 0.7× 23 0.2× 57 0.9× 120 2.1× 16 578
Daisy Hjelmqvist Sweden 7 206 0.8× 107 0.8× 34 0.3× 23 0.4× 21 0.4× 12 399
Annika Rennenberg Germany 7 120 0.5× 153 1.2× 119 1.1× 77 1.2× 17 0.3× 8 599

Countries citing papers authored by Joseph M. Dybas

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Dybas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph M. Dybas

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

All Works

18 of 18 papers shown
1.
Charman, Matthew, et al.. (2023). A viral biomolecular condensate coordinates assembly of progeny particles. Nature. 616(7956). 332–338. 29 indexed citations
2.
Kim, Eui Tae, Joseph M. Dybas, Katarzyna Kulej, et al.. (2021). Comparative proteomics identifies Schlafen 5 (SLFN5) as a herpes simplex virus restriction factor that suppresses viral transcription. Nature Microbiology. 6(2). 234–245. 37 indexed citations
3.
Dybas, Joseph M., Krystal K. Lum, Katarzyna Kulej, et al.. (2021). Adenovirus Remodeling of the Host Proteome and Host Factors Associated with Viral Genomes. mSystems. 6(4). 101128msystems0046821–101128msystems0046821. 16 indexed citations
4.
Sawada, Keisuke, Joseph M. Dybas, Emily K. Moser, et al.. (2021). The E3 ubiquitin ligase Cul4b promotes CD4+ T cell expansion by aiding the repair of damaged DNA. PLoS Biology. 19(2). e3001041–e3001041. 17 indexed citations
5.
Herrmann, Christin, Joseph M. Dybas, Jennifer Liddle, et al.. (2020). Adenovirus-mediated ubiquitination alters protein–RNA binding and aids viral RNA processing. Nature Microbiology. 5(10). 1217–1231. 28 indexed citations
6.
Dybas, Joseph M., Emily K. Moser, Lynn A. Spruce, et al.. (2020). Itch attenuates CD4 T‐cell proliferation in mice by limiting WBP2 protein stability. European Journal of Immunology. 50(10). 1468–1483. 6 indexed citations
7.
Rodríguez, Milagros Collados, Joseph M. Dybas, Joseph Hughes, Matthew D. Weitzman, & Chris Boutell. (2020). The HSV-1 ubiquitin ligase ICP0: Modifying the cellular proteome to promote infection. Virus Research. 285. 198015–198015. 70 indexed citations
8.
Dybas, Joseph M., et al.. (2020). Cul4b promotes DNA damage repair during T cell proliferation. The Journal of Immunology. 204(1_Supplement). 78.18–78.18. 1 indexed citations
9.
Dybas, Joseph M., Claire E. O’Leary, Hua Ding, et al.. (2019). Integrative proteomics reveals an increase in non-degradative ubiquitylation in activated CD4+ T cells. Nature Immunology. 20(6). 747–755. 24 indexed citations
10.
Moser, Emily K., Joseph M. Dybas, Lynn A. Spruce, et al.. (2019). The E3 ubiquitin ligase Itch restricts antigen-driven B cell responses. The Journal of Experimental Medicine. 216(9). 2170–2183. 13 indexed citations
11.
Dybas, Joseph M., Christin Herrmann, & Matthew D. Weitzman. (2018). Ubiquitination at the interface of tumor viruses and DNA damage responses. Current Opinion in Virology. 32. 40–47. 23 indexed citations
12.
Deng, Guoping, Claire E. O’Leary, Rajan M. Thomas, et al.. (2017). Ndfip1 restricts mTORC1 signalling and glycolysis in regulatory T cells to prevent autoinflammatory disease. Nature Communications. 8(1). 15677–15677. 32 indexed citations
13.
Dybas, Joseph M. & András Fiser. (2016). Development of a motif-based topology-independent structure comparison method to identify evolutionarily related folds. Proteins Structure Function and Bioinformatics. 84(12). 1859–1874. 6 indexed citations
14.
Menon, Vilas, Brinda Vallat, Joseph M. Dybas, & András Fiser. (2013). Modeling Proteins Using a Super-Secondary Structure Library and NMR Chemical Shift Information. Structure. 21(6). 891–899. 11 indexed citations
15.
Fernández‐Fuentes, Narcís, Joseph M. Dybas, & András Fiser. (2010). Structural Characteristics of Novel Protein Folds. PLoS Computational Biology. 6(4). e1000750–e1000750. 51 indexed citations
16.
Madrid-Aliste, Carlos, Joseph M. Dybas, Ruth Hogue Angeletti, et al.. (2009). EPIC-DB: a proteomics database for studying Apicomplexan organisms. BMC Genomics. 10(1). 38–38. 20 indexed citations
17.
Dybas, Joseph M., Carlos Madrid-Aliste, Edward Nieves, et al.. (2008). Computational Analysis and Experimental Validation of Gene Predictions in Toxoplasma gondii. PLoS ONE. 3(12). e3899–e3899. 26 indexed citations
18.
Dybas, Joseph M., et al.. (2006). Deep-breath frequency in bronchoconstricted monkeys (Macaca fascicularis). Journal of Applied Physiology. 100(3). 786–791. 5 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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