Tony T. Jiang

2.0k total citations
30 papers, 1.4k citations indexed

About

Tony T. Jiang is a scholar working on Immunology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tony T. Jiang has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tony T. Jiang's work include Reproductive System and Pregnancy (8 papers), Immune Cell Function and Interaction (5 papers) and Lung Cancer Research Studies (4 papers). Tony T. Jiang is often cited by papers focused on Reproductive System and Pregnancy (8 papers), Immune Cell Function and Interaction (5 papers) and Lung Cancer Research Studies (4 papers). Tony T. Jiang collaborates with scholars based in United States, China and United Kingdom. Tony T. Jiang's co-authors include Sing Sing Way, Jeremy M. Kinder, Lijun Xin, James M. Ertelt, Vandana Chaturvedi, Giang Pham, Beverly Strong, Aimen F. Shaaban, W.X. Gladys Ang and Tzu‐Yu Shao and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tony T. Jiang

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony T. Jiang United States 15 575 412 283 250 166 30 1.4k
Jeremy M. Kinder United States 18 924 1.6× 433 1.1× 322 1.1× 281 1.1× 274 1.7× 42 1.8k
Mikiya Fujieda Japan 22 375 0.7× 457 1.1× 361 1.3× 212 0.8× 134 0.8× 116 2.0k
Jared H. Rowe United States 17 1.1k 1.8× 277 0.7× 211 0.7× 154 0.6× 302 1.8× 33 1.7k
Divya Shah United States 25 352 0.6× 611 1.5× 155 0.5× 279 1.1× 297 1.8× 83 2.2k
Hitesh Deshmukh United States 20 548 1.0× 1.2k 2.9× 218 0.8× 380 1.5× 75 0.5× 40 2.3k
Charlotte E. Egan United States 22 670 1.2× 434 1.1× 452 1.6× 183 0.7× 29 0.2× 27 1.9k
Congrong Ma United States 23 486 0.8× 640 1.6× 411 1.5× 335 1.3× 48 0.3× 31 2.6k
Christelle Bourgeois Austria 15 412 0.7× 205 0.5× 325 1.1× 406 1.6× 63 0.4× 20 1.0k
Mercy PrabhuDas United States 11 584 1.0× 232 0.6× 209 0.7× 111 0.4× 237 1.4× 14 1.2k
Nicole L. Messina Australia 18 908 1.6× 400 1.0× 220 0.8× 326 1.3× 74 0.4× 49 1.5k

Countries citing papers authored by Tony T. Jiang

Since Specialization
Citations

This map shows the geographic impact of Tony T. Jiang'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 T. Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony T. Jiang more than expected).

Fields of papers citing papers by Tony T. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony T. Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tony T. Jiang. A scholar is included among the top collaborators of Tony T. Jiang 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 T. Jiang. Tony T. Jiang 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.
Rodríguez, Luis Paz-Ares, Enriqueta Felip, Myung‐Ju Ahn, et al.. (2024). PP01.72 Randomized Phase-3 Study: Tarlatamab, a DLL3-targeting Bispecific T-cell engager (BiTE), Compared to Standard-of-Care in Relapsed Small Cell Lung Cancer (DeLLphi-304). Journal of Thoracic Oncology. 19(7). e34–e34. 1 indexed citations
2.
Pundole, Xerxes, Akhila Balasubramanian, Erik S. Anderson, et al.. (2024). Recent treatment patterns and real-world survival following first-line anti-PD-L1 treatment for extensive-stage small cell lung cancer. The Oncologist. 29(12). 1079–1089. 6 indexed citations
3.
Shao, Tzu‐Yu, Tony T. Jiang, Abigail E. Russi, et al.. (2023). Kruppel-like factor 2+ CD4 T cells avert microbiota-induced intestinal inflammation. Cell Reports. 42(11). 113323–113323. 1 indexed citations
4.
Paz‐Ares, Luis, M-J. Ahn, Enriqueta Felip, et al.. (2023). LBA92 Tarlatamab for patients (pts) with previously treated small cell lung cancer (SCLC): Primary analysis of the phase II DeLLphi-301 study. Annals of Oncology. 34. S1333–S1334. 5 indexed citations
5.
Yu, Chunxiu, et al.. (2022). Striatal mechanisms of turning behaviour following unilateral dopamine depletion in mice. European Journal of Neuroscience. 56(5). 4529–4545. 5 indexed citations
6.
Sia, Hanlon, Joshua Richter, Tara Cochrane, et al.. (2022). A Phase 1/2, First-in-Human, Multicenter, Open-Label, Dose Escalation and Dose-Expansion Study of Single-Agent ISB 1442 in Patients with Relapsed/Refractory Multiple Myeloma. Blood. 140(Supplement 1). 10182–10184. 3 indexed citations
7.
8.
Jiang, Tony T., Tzu‐Yu Shao, W.X. Gladys Ang, et al.. (2017). Commensal Fungi Recapitulate the Protective Benefits of Intestinal Bacteria. Cell Host & Microbe. 22(6). 809–816.e4. 212 indexed citations
9.
Turner, Lucien H., et al.. (2017). Preconceptual Zika virus asymptomatic infection protects against secondary prenatal infection. PLoS Pathogens. 13(11). e1006684–e1006684. 17 indexed citations
10.
Liu, Hongqi, Xizhi Feng, P.N. Sarma, et al.. (2017). Pharmacologic Targeting of S6K1 in PTEN-Deficient Neoplasia. Cell Reports. 18(9). 2088–2095. 16 indexed citations
11.
Jiang, Tony T., Tijana Martinov, Lijun Xin, et al.. (2016). Programmed Death-1 Culls Peripheral Accumulation of High-Affinity Autoreactive CD4 T Cells to Protect against Autoimmunity. Cell Reports. 17(7). 1783–1794. 30 indexed citations
12.
Kinder, Jeremy M., Tony T. Jiang, James M. Ertelt, et al.. (2015). Cross-Generational Reproductive Fitness Enforced by Microchimeric Maternal Cells. Cell. 162(3). 505–515. 98 indexed citations
13.
14.
Xin, Lijun, Tony T. Jiang, Jeremy M. Kinder, James M. Ertelt, & Sing Sing Way. (2015). Infection susceptibility and immune senescence with advancing age replicated in accelerated aging LmnaDhe mice. Aging Cell. 14(6). 1122–1126. 11 indexed citations
15.
Kinder, Jeremy M., Tony T. Jiang, Dayna R Clark, et al.. (2014). Pregnancy-induced maternal regulatory T cells, bona fide memory or maintenance by antigenic reminder from fetal cell microchimerism?. PubMed. 5(1). 16–19. 16 indexed citations
16.
Xin, Lijun, Tony T. Jiang, Vandana Chaturvedi, et al.. (2014). Commensal microbes drive intestinal inflammation by IL-17–producing CD4 + T cells through ICOSL and OX40L costimulation in the absence of B7-1 and B7-2. Proceedings of the National Academy of Sciences. 111(29). 10672–10677. 16 indexed citations
17.
Jiang, Tony T., Vandana Chaturvedi, James M. Ertelt, et al.. (2014). Regulatory T Cells: New Keys for Further Unlocking the Enigma of Fetal Tolerance and Pregnancy Complications. The Journal of Immunology. 192(11). 4949–4956. 76 indexed citations
18.
Liu, Chengbo, Narasimhan Rajaram, Karthik Vishwanath, et al.. (2012). Experimental validation of an inverse fluorescence Monte Carlo model to extract concentrations of metabolically relevant fluorophores from turbid phantoms and a murine tumor model. Journal of Biomedical Optics. 17(7). 780031–780031. 18 indexed citations
19.
20.
Rong, Guanghua, Yiqin Zhou, Ye Xiong, et al.. (2009). Imbalance between T helper type 17 and T regulatory cells in patients with primary biliary cirrhosis: the serum cytokine profile and peripheral cell population. Clinical & Experimental Immunology. 156(2). 217–225. 132 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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