Ann-Jay Tong

968 total citations · 1 hit paper
14 papers, 629 citations indexed

About

Ann-Jay Tong is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Ann-Jay Tong has authored 14 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Ann-Jay Tong's work include interferon and immune responses (5 papers), Antifungal resistance and susceptibility (4 papers) and Immune Response and Inflammation (4 papers). Ann-Jay Tong is often cited by papers focused on interferon and immune responses (5 papers), Antifungal resistance and susceptibility (4 papers) and Immune Response and Inflammation (4 papers). Ann-Jay Tong collaborates with scholars based in United States, Canada and Netherlands. Ann-Jay Tong's co-authors include Stephen T. Smale, David A. Stevens, Karl V. Clemons, Marife Martinez, Sara Wichner, Craig Blanchette, Ira Mellman, Emily Freund, Benjamin Haley and Lélia Delamarre and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Ann-Jay Tong

14 papers receiving 620 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

IL-1 and IL-1ra are key regulators of the inflammatory response to RNA vaccines

2022 310 citations Siri Tähtinen, Ann-Jay Tong et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ann-Jay Tong United States	9	323	241	205	119	52	14	629
Zhong He United States	11	210 0.7×	403 1.7×	223 1.1×	128 1.1×	69 1.3×	20	825
Camille R. Simoneau United States	8	183 0.6×	259 1.1×	272 1.3×	77 0.6×	71 1.4×	11	679
Annsea Park United States	9	311 1.0×	233 1.0×	433 2.1×	85 0.7×	58 1.1×	9	824
Mingli Fang China	11	215 0.7×	236 1.0×	93 0.5×	65 0.5×	62 1.2×	24	446
Surya Pandey United States	10	350 1.1×	521 2.2×	81 0.4×	113 0.9×	71 1.4×	15	757
Maeva Dupont France	10	231 0.7×	168 0.7×	220 1.1×	167 1.4×	29 0.6×	13	571
Laila Shehata United States	8	181 0.6×	310 1.3×	112 0.5×	82 0.7×	99 1.9×	11	617
Tahnee L. Saunders United States	9	282 0.9×	361 1.5×	179 0.9×	66 0.6×	42 0.8×	13	555
Rafael Fenutría United States	10	182 0.6×	261 1.1×	80 0.4×	75 0.6×	82 1.6×	12	541

Countries citing papers authored by Ann-Jay Tong

Since Specialization

Citations

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

Fields of papers citing papers by Ann-Jay Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann-Jay Tong. 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 Ann-Jay Tong. The network helps show where Ann-Jay Tong may publish in the future.

Co-authorship network of co-authors of Ann-Jay Tong

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Thrift, William John, Amy Heidersbach, Emily Freund, et al.. (2024). Towards designing improved cancer immunotherapy targets with a peptide-MHC-I presentation model, HLApollo. Nature Communications. 15(1). 10752–10752. 5 indexed citations

Tong, Ann-Jay, Rebecca Leylek, Anna‐Maria Herzner, et al.. (2023). Nucleotide modifications enable rational design of TLR7-selective ligands by blocking RNase cleavage. The Journal of Experimental Medicine. 221(2). 12 indexed citations

Aliyari, Saba R., Amir A. Ghaffari, Olivier Pernet, et al.. (2022). Suppressing fatty acid synthase by type I interferon and chemical inhibitors as a broad spectrum anti-viral strategy against SARS-CoV-2. Acta Pharmaceutica Sinica B. 12(4). 1624–1635. 20 indexed citations

Tähtinen, Siri, Ann-Jay Tong, Patricia Himmels, et al.. (2022). IL-1 and IL-1ra are key regulators of the inflammatory response to RNA vaccines. Nature Immunology. 23(4). 532–542. 310 indexed citations breakdown →

Purbey, Prabhat Kumar, Philip O. Scumpia, Peter J. Kim, et al.. (2017). Defined Sensing Mechanisms and Signaling Pathways Contribute to the Global Inflammatory Gene Expression Output Elicited by Ionizing Radiation. Immunity. 47(3). 421–434.e3. 49 indexed citations

York, Autumn G., Kevin J. Williams, Xin Liu, et al.. (2016). Rapid transcriptional reprogramming of the lipid biosynthesis genes in response to type I interferon. The Journal of Immunology. 196(1_Supplement). 202.14–202.14. 2 indexed citations

Lissner, Michelle M., Brandon J. Thomas, Kathleen Wee, et al.. (2015). Age-Related Gene Expression Differences in Monocytes from Human Neonates, Young Adults, and Older Adults. PLoS ONE. 10(7). e0132061–e0132061. 38 indexed citations

Pandya‐Jones, Amy, Dev Bhatt, Chia-Ho Lin, et al.. (2013). Splicing kinetics and transcript release from the chromatin compartment limit the rate of Lipid A-induced gene expression. RNA. 19(6). 811–827. 79 indexed citations

Martinez, Marife, et al.. (2013). Experimental Evidence That Granulocyte Transfusions Are Efficacious in Treatment of Neutropenic Hosts with Pulmonary Aspergillosis. Antimicrobial Agents and Chemotherapy. 57(4). 1882–1887. 7 indexed citations

10.

Clemons, Karl V., Marife Martinez, Ann-Jay Tong, & David A. Stevens. (2010). Resistance of MBL gene-knockout mice to experimental systemic aspergillosis. Immunology Letters. 128(2). 105–107. 19 indexed citations

11.

Clemons, Karl V., Javier Capilla, Raymond A. Sobel, et al.. (2009). Comparative Efficacies of Lipid-Complexed Amphotericin B and Liposomal Amphotericin B against Coccidioidal Meningitis in Rabbits. Antimicrobial Agents and Chemotherapy. 53(5). 1858–1862. 26 indexed citations

12.

Clemons, Karl V., et al.. (2008). Significant differences in drug susceptibility among species in the Candida parapsilosis group. Diagnostic Microbiology and Infectious Disease. 62(1). 106–109. 57 indexed citations

13.

Tong, Ann-Jay, et al.. (2000). [Effects of fluoride on the expression of c-fos and c-jun genes and cell proliferation of rat osteoblasts].. PubMed. 34(6). 327–9. 4 indexed citations

14.

Fortier, A H, Ann-Jay Tong, & Carol A. Nacy. (1990). Susceptibility of inbred mice to Leishmania major infection: genetic analysis of macrophage activation and innate resistance to disease in individual progeny of P/J (susceptible) and C3H/HeN (resistant) mice. Infection and Immunity. 58(12). 4149–4152. 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.

Explore authors with similar magnitude of impact