Tony T. Huang

6.2k total citations · 1 hit paper
62 papers, 4.7k citations indexed

About

Tony T. Huang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tony T. Huang has authored 62 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 16 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Tony T. Huang's work include DNA Repair Mechanisms (30 papers), Ubiquitin and proteasome pathways (18 papers) and Genomics and Chromatin Dynamics (11 papers). Tony T. Huang is often cited by papers focused on DNA Repair Mechanisms (30 papers), Ubiquitin and proteasome pathways (18 papers) and Genomics and Chromatin Dynamics (11 papers). Tony T. Huang collaborates with scholars based in United States, Poland and Netherlands. Tony T. Huang's co-authors include Shigeki Miyamoto, Alan D. D’Andrea, Shelly M. Wuerzberger‐Davis, Zhao‐Hui Wu, Miklós Békés, René Bernards, Sebastian Nijman, Wilhelm Haas, Martin A. Cohn and Steven P. Gygi and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tony T. Huang

60 papers receiving 4.7k citations

Hit Papers

Activity profiling and crystal structures of inhibitor-bo... 2020 2026 2022 2024 2020 100 200 300

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. Huang United States 31 3.9k 1.3k 1.1k 680 498 62 4.7k
Martin Renatus United States 26 3.5k 0.9× 720 0.6× 599 0.5× 748 1.1× 478 1.0× 39 4.6k
Scott J. Snipas United States 31 2.8k 0.7× 615 0.5× 602 0.5× 841 1.2× 415 0.8× 58 4.0k
Katrin Rittinger United Kingdom 36 5.5k 1.4× 865 0.7× 607 0.5× 2.0k 2.9× 1.1k 2.3× 79 7.3k
Patrick J. Lupardus United States 34 2.6k 0.7× 1.9k 1.5× 432 0.4× 1.8k 2.7× 261 0.5× 54 4.8k
Kailin Yang United States 30 2.2k 0.6× 663 0.5× 550 0.5× 293 0.4× 270 0.5× 72 3.6k
Erin P. Peterson United States 18 4.6k 1.2× 870 0.7× 580 0.5× 1.3k 1.9× 649 1.3× 22 5.7k
Ana Gomes United Kingdom 31 2.7k 0.7× 654 0.5× 486 0.4× 581 0.9× 267 0.5× 56 4.0k
Heng Liang United States 18 4.3k 1.1× 700 0.5× 838 0.8× 768 1.1× 236 0.5× 28 4.9k
Daniel J. Chin United States 30 3.6k 0.9× 382 0.3× 326 0.3× 554 0.8× 719 1.4× 55 5.1k
W. Douglas Cress United States 38 4.8k 1.2× 2.8k 2.2× 1.2k 1.1× 825 1.2× 389 0.8× 86 6.8k

Countries citing papers authored by Tony T. Huang

Since Specialization
Citations

This map shows the geographic impact of Tony T. Huang'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. Huang 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. Huang more than expected).

Fields of papers citing papers by Tony T. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tony T. Huang. A scholar is included among the top collaborators of Tony T. Huang 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. Huang. Tony T. Huang 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.
Goehring, Liana, et al.. (2025). KMT2C/KMT2D-dependent H3K4me1 mediates changes in DNA replication timing and origin activity during a cell fate transition. Cell Reports. 44(2). 115272–115272. 1 indexed citations
2.
Nam, Minwoo, et al.. (2024). Glucose limitation protects cancer cells from apoptosis induced by pyrimidine restriction and replication inhibition. Nature Metabolism. 6(12). 2338–2353. 6 indexed citations
3.
Lee, Wei Ting C., Yandong Yin, Michael J. Morten, et al.. (2021). Single-molecule imaging reveals replication fork coupled formation of G-quadruplex structures hinders local replication stress signaling. Nature Communications. 12(1). 2525–2525. 68 indexed citations
4.
Kim, Sang Hwa, Mark Scalf, Peter Tonzi, et al.. (2021). Fused in sarcoma regulates DNA replication timing and kinetics. Journal of Biological Chemistry. 297(3). 101049–101049. 12 indexed citations
5.
Ando, Kiyohiro, Yuanyuan Li, Renuka Raman, et al.. (2021). FANCI functions as a repair/apoptosis switch in response to DNA crosslinks. Developmental Cell. 56(15). 2207–2222.e7. 11 indexed citations
6.
Tonzi, Peter & Tony T. Huang. (2019). Role of Y-family translesion DNA polymerases in replication stress: Implications for new cancer therapeutic targets. DNA repair. 78. 20–26. 24 indexed citations
7.
Tonzi, Peter, et al.. (2018). Translesion polymerase kappa-dependent DNA synthesis underlies replication fork recovery. eLife. 7. 47 indexed citations
8.
Békés, Miklós, et al.. (2018). The COP9 signalosome inhibits Cullin-RING E3 ubiquitin ligases independently of its deneddylase activity. Fly. 12(2). 118–126. 4 indexed citations
9.
Kee, Younghoon & Tony T. Huang. (2015). Role of Deubiquitinating Enzymes in DNA Repair. Molecular and Cellular Biology. 36(4). 524–544. 65 indexed citations
10.
Chen, Yu‐Hung, Mathew V. Jones, Yandong Yin, et al.. (2015). ATR-Mediated Phosphorylation of FANCI Regulates Dormant Origin Firing in Response to Replication Stress. Molecular Cell. 58(2). 323–338. 125 indexed citations
11.
Békés, Miklós, Keiji Okamoto, Sarah B. Crist, et al.. (2013). DUB-Resistant Ubiquitin to Survey Ubiquitination Switches in Mammalian Cells. Cell Reports. 5(3). 826–838. 38 indexed citations
12.
Piatkov, Konstantin, Luca Colnaghi, Miklós Békés, Alexander Varshavsky, & Tony T. Huang. (2012). The Auto-Generated Fragment of the Usp1 Deubiquitylase Is a Physiological Substrate of the N-End Rule Pathway. Molecular Cell. 48(6). 926–933. 59 indexed citations
13.
Cotto-Rios, Xiomaris M., Miklós Békés, Jessica R. Chapman, Beatrix Ueberheide, & Tony T. Huang. (2012). Deubiquitinases as a Signaling Target of Oxidative Stress. Cell Reports. 2(6). 1475–1484. 133 indexed citations
14.
Spiteri, Elizabeth, Robert J. Sims, Adriana Arita, et al.. (2007). FANCI is a second monoubiquitinated member of the Fanconi anemia pathway. Nature Structural & Molecular Biology. 14(6). 564–567. 223 indexed citations
15.
Huang, Tony T., Sebastian Nijman, Paul J. Galardy, et al.. (2006). Regulation of monoubiquitinated PCNA by DUB autocleavage. Nature Cell Biology. 8(4). 341–347. 466 indexed citations
16.
Nijman, Sebastian, Tony T. Huang, Annette M.G. Dirac, et al.. (2005). The Deubiquitinating Enzyme USP1 Regulates the Fanconi Anemia Pathway. Molecular Cell. 17(3). 331–339. 458 indexed citations
17.
Huang, Tony T. & Shigeki Miyamoto. (2001). Postrepression Activation of NF-κB Requires the Amino-Terminal Nuclear Export Signal Specific to IκBα. Molecular and Cellular Biology. 21(14). 4737–4747. 90 indexed citations
18.
Huang, Tony T., Shelly M. Wuerzberger‐Davis, Bradley J. Seufzer, et al.. (2000). NF-κB Activation by Camptothecin. Journal of Biological Chemistry. 275(13). 9501–9509. 133 indexed citations
19.
Tsukamoto, Tetsuya, Jakyoung Yoo, Raphael C. Guzman, et al.. (2000). Expression of MAT1/PEA-15 mRNA isoforms during physiological and neoplastic changes in the mouse mammary gland. Cancer Letters. 149(1-2). 105–113. 20 indexed citations
20.
Bera, Tapan K., et al.. (1998). Defective Retrovirus Insertion Activates c-Ha-ras Proto-oncogene in an MNU-Induced Rat Mammary Carcinoma. Biochemical and Biophysical Research Communications. 248(3). 835–840. 13 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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