Tony Yao

929 total citations
19 papers, 439 citations indexed

About

Tony Yao is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Tony Yao has authored 19 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Tony Yao's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Vitamin C and Antioxidants Research (3 papers). Tony Yao is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Vitamin C and Antioxidants Research (3 papers). Tony Yao collaborates with scholars based in United States, Canada and China. Tony Yao's co-authors include Yueh‐hsiu Chien, Stanley Falkow, James I. Healy, Joan Mecsas, Mark Α. Zern, S. M. Mansour Haeryfar, Silvia Degli Esposti, Yen‐Jen Sung, Jen‐Tsan Chi and Mark M. Davis and has published in prestigious journals such as The Journal of Experimental Medicine, Advanced Functional Materials and Hepatology.

In The Last Decade

Tony Yao

15 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tony Yao United States	8	156	139	116	78	58	19	439
M Zühlsdorf Germany	11	143 0.9×	72 0.5×	55 0.5×	31 0.4×	21 0.4×	13	457
Miki Aihara Japan	9	115 0.7×	201 1.4×	68 0.6×	17 0.2×	24 0.4×	16	571
Ikuya Fujiwara Japan	14	229 1.5×	150 1.1×	39 0.3×	11 0.1×	17 0.3×	43	648
Carole G. Campion Canada	7	157 1.0×	70 0.5×	24 0.2×	53 0.7×	6 0.1×	10	377
Henning Sievert Germany	11	316 2.0×	258 1.9×	42 0.4×	40 0.5×	5 0.1×	14	616
Roberto Pierini United Kingdom	10	337 2.2×	151 1.1×	27 0.2×	26 0.3×	5 0.1×	11	466
Indrajit Sinha India	9	286 1.8×	77 0.6×	46 0.4×	14 0.2×	15 0.3×	18	460
Bo‐Young Yoon South Korea	12	156 1.0×	149 1.1×	101 0.9×	6 0.1×	13 0.2×	21	535
Gui-Wei He Germany	10	397 2.5×	236 1.7×	107 0.9×	7 0.1×	32 0.6×	11	690
Graham F. Brady United States	13	548 3.5×	305 2.2×	56 0.5×	13 0.2×	13 0.2×	21	848

Countries citing papers authored by Tony Yao

Since Specialization

Citations

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

Fields of papers citing papers by Tony Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Yao

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

All Works

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19 of 19 papers shown

Yao, Tony, et al.. (2025). A “Janus” structured nanoclay microgel system for targeted probiotic therapy in diarrhea-predominant irritable bowel syndrome. Journal of Controlled Release. 383. 113769–113769. 3 indexed citations

Yao, Tony, Jing Sun, Jing Zhang, et al.. (2025). The mediating role of expectations regarding aging between diabetes distress and self-management behaviors in older adults with type 2 diabetes mellitus. Geriatric Nursing. 63. 362–369.

Zhang, Ke, Ya Li, Tony Yao, et al.. (2025). Microenvironmental Self‐Optimizing HOFs Biocatalysts for Boosting Disulfidptosis‐Mediated Antitumor Immunotherapy. Advanced Functional Materials. 36(10).

Yao, Tony, et al.. (2025). The origins and evolution of translation factors. Trends in Genetics. 41(7). 590–600.

Lin, Lin, et al.. (2024). Neonatal outcomes among twins born through assisted reproduction, compared to those born naturally. Medicine. 103(47). e40630–e40630.

Yao, Tony, Andrew D. Paterson, Rohan John, et al.. (2021). LAMA2 and LOXL4 are candidate FSGS genes. BMC Nephrology. 22(1). 320–320. 2 indexed citations

Yao, Tony, Daniel C. Cattran, Heather N. Reich, et al.. (2021). Type IV Collagen Variants in CKD: Performance of Computational Predictions for Identifying Pathogenic Variants. Kidney Medicine. 3(2). 257–266. 7 indexed citations

Yao, Tony, Patrick T. Rudak, Céline M. Laumont, et al.. (2021). MAIT cells accumulate in ovarian cancer-elicited ascites where they retain their capacity to respond to MR1 ligands and cytokine cues. Cancer Immunology Immunotherapy. 71(5). 1259–1273. 5 indexed citations

Petersen, Max C., Tony Yao, Lutz Schomburg, et al.. (2021). Insulin Receptor Autoantibody–mediated Hypoglycemia in a Woman With Mixed Connective Tissue Disease. Journal of the Endocrine Society. 6(1). bvab182–bvab182. 4 indexed citations

10.

Yao, Tony, Parisa Shooshtari, & S. M. Mansour Haeryfar. (2020). Leveraging Public Single-Cell and Bulk Transcriptomic Datasets to Delineate MAIT Cell Roles and Phenotypic Characteristics in Human Malignancies. Frontiers in Immunology. 11. 1691–1691. 28 indexed citations

11.

Rudak, Patrick T., Tony Yao, Christopher D. Richardson, & S. M. Mansour Haeryfar. (2020). Measles Virus Infects and Programs MAIT Cells for Apoptosis. The Journal of Infectious Diseases. 223(4). 667–672. 19 indexed citations

12.

Yao, Tony, Rohan John, Amirreza Haghighi, et al.. (2019). Integration of Genetic Testing and Pathology for the Diagnosis of Adults with FSGS. Clinical Journal of the American Society of Nephrology. 14(2). 213–223. 90 indexed citations

13.

Wang, Jinghan, Tony Yao, Ruey‐Long Hong, et al.. (2013). Identification of novel mutations of TP53, ALK and RET gene in metastatic thymic squamous cell carcinoma and its therapeutic implication. Lung Cancer. 81(1). 27–31. 5 indexed citations

14.

Yao, Tony, Joan Mecsas, James I. Healy, Stanley Falkow, & Yueh‐hsiu Chien. (1999). Suppression of T and B Lymphocyte Activation by a Yersinia pseudotuberculosis Virulence Factor, Yoph. The Journal of Experimental Medicine. 190(9). 1343–1350. 116 indexed citations

15.

Lu, Peter S., Yen‐Jen Sung, Tony Yao, et al.. (1998). Differential Effect of B Lymphocyte–induced Maturation Protein (Blimp-1) Expression on Cell Fate during B Cell Development. The Journal of Experimental Medicine. 188(3). 515–525. 76 indexed citations

16.

Liu, Shuling, Silvia Degli Esposti, Tony Yao, Anna Mae Diehl, & Mark Α. Zern. (1995). Vitamin E therapy of acute CCl4-induced hepatic injury in mice is associated with inhibition of nuclear factor kappa B binding. Hepatology. 22(5). 1474–1481. 30 indexed citations

17.

Yao, Tony, Leaf Huang, & Mark Α. Zern. (1995). The use of liposomes in the therapy of liver disease. Advanced Drug Delivery Reviews. 17(3). 239–246. 5 indexed citations

18.

Caraceni, Paolo, Tony Yao, Silvia Degli Esposti, et al.. (1994). Effect of vitamin E on reoxygenation injury experienced by isolated rat hepatocytes. Life Sciences. 55(18). 1427–1432. 8 indexed citations

19.

Yao, Tony, et al.. (1994). Inhibition of carbon tetrachloride-induced liver injury by liposomes containing vitamin E. American Journal of Physiology-Gastrointestinal and Liver Physiology. 267(3). G476–G484. 41 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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