Joanne Dai

458 total citations
10 papers, 323 citations indexed

About

Joanne Dai is a scholar working on Oncology, Immunology and Epidemiology. According to data from OpenAlex, Joanne Dai has authored 10 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Joanne Dai's work include Viral-associated cancers and disorders (6 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (5 papers). Joanne Dai is often cited by papers focused on Viral-associated cancers and disorders (6 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (5 papers). Joanne Dai collaborates with scholars based in United States, United Kingdom and Japan. Joanne Dai's co-authors include Micah A. Luftig, Margaret L. Flannery, Raghu Kalluri, Malin Sund, Zena Werb, Wei Ni, Keizo Kanasaki, Julie L. Rinkenberger, Vicki Plaks and Elliott D. SoRelle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Biochemistry.

In The Last Decade

Joanne Dai

10 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne Dai United States 8 149 118 111 73 58 10 323
Nicole Prutsch Austria 7 118 0.8× 45 0.4× 97 0.9× 101 1.4× 18 0.3× 9 292
Huiqiang Liu China 11 64 0.4× 24 0.2× 80 0.7× 108 1.5× 72 1.2× 31 285
Pamela Stone United States 11 103 0.7× 113 1.0× 93 0.8× 134 1.8× 56 1.0× 15 374
Chenglu Qin China 10 155 1.0× 108 0.9× 36 0.3× 54 0.7× 18 0.3× 17 281
Tatsuo Masuda Japan 8 67 0.4× 29 0.2× 41 0.4× 61 0.8× 43 0.7× 17 221
Vivian M. Spaans Netherlands 11 129 0.9× 125 1.1× 65 0.6× 87 1.2× 136 2.3× 13 350
Shannon Grabosch United States 7 170 1.1× 150 1.3× 18 0.2× 87 1.2× 34 0.6× 15 326
Pi‐Lin Sung Taiwan 7 48 0.3× 46 0.4× 31 0.3× 193 2.6× 27 0.5× 12 325
Xiaoshan Chai China 11 92 0.6× 76 0.6× 44 0.4× 91 1.2× 15 0.3× 16 272
Marc P.M.L. Snijders Netherlands 9 109 0.7× 29 0.2× 209 1.9× 31 0.4× 45 0.8× 11 350

Countries citing papers authored by Joanne Dai

Since Specialization
Citations

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

Fields of papers citing papers by Joanne Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanne Dai

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

All Works

10 of 10 papers shown
1.
SoRelle, Elliott D., Nicolás M. Reinoso-Vizcaíno, Joanne Dai, et al.. (2023). Epstein-Barr virus evades restrictive host chromatin closure by subverting B cell activation and germinal center regulatory loci. Cell Reports. 42(8). 112958–112958. 12 indexed citations
3.
SoRelle, Elliott D., Joanne Dai, Nicolás M. Reinoso-Vizcaíno, et al.. (2022). Time-resolved transcriptomes reveal diverse B cell fate trajectories in the early response to Epstein-Barr virus infection. Cell Reports. 40(9). 111286–111286. 31 indexed citations
4.
Dai, Joanne, et al.. (2021). Rhodium Complexes Targeting DNA Mismatches as a Basis for New Therapeutics in Cancers Deficient in Mismatch Repair. Biochemistry. 60(26). 2055–2063. 16 indexed citations
5.
SoRelle, Elliott D., Joanne Dai, Stephanie N. Giamberardino, et al.. (2021). Single-cell RNA-seq reveals transcriptomic heterogeneity mediated by host–pathogen dynamics in lymphoblastoid cell lines. eLife. 10. 36 indexed citations
6.
Dai, Joanne, et al.. (2019). Identification of Host Biomarkers of Epstein-Barr Virus Latency IIb and Latency III. mBio. 10(4). 17 indexed citations
7.
Dai, Joanne & Micah A. Luftig. (2018). Intracellular BH3 Profiling Reveals Shifts in Antiapoptotic Dependency in Human B Cell Maturation and Mitogen-Stimulated Proliferation. The Journal of Immunology. 200(5). 1727–1736. 6 indexed citations
8.
Liu, Lisa Grossman, Christopher Chang, Joanne Dai, et al.. (2017). Epstein-Barr Virus Induces Adhesion Receptor CD226 (DNAM-1) Expression during Primary B-Cell Transformation into Lymphoblastoid Cell Lines. mSphere. 2(6). 8 indexed citations
9.
Price, Alexander M., Joanne Dai, Quentin Bazot, et al.. (2017). Epstein-Barr virus ensures B cell survival by uniquely modulating apoptosis at early and late times after infection. eLife. 6. 56 indexed citations
10.
Plaks, Vicki, Julie L. Rinkenberger, Joanne Dai, et al.. (2013). Matrix metalloproteinase-9 deficiency phenocopies features of preeclampsia and intrauterine growth restriction. Proceedings of the National Academy of Sciences. 110(27). 11109–11114. 138 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026