Hua Tang Chen

5.1k total citations · 1 hit paper
14 papers, 3.0k citations indexed

About

Hua Tang Chen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hua Tang Chen has authored 14 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Hua Tang Chen's work include DNA Repair Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Cancer-related Molecular Pathways (3 papers). Hua Tang Chen is often cited by papers focused on DNA Repair Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Cancer-related Molecular Pathways (3 papers). Hua Tang Chen collaborates with scholars based in United States, Netherlands and United Kingdom. Hua Tang Chen's co-authors include André Nussenzweig, Michel C. Nussenzweig, Michael J. Difilippantonio, Thomas Ried, Bernardo Reina‐San‐Martin, Jie Zhu, William M. Bonner, Elsa Callén, André Nussenzweig and Eric Meffre and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hua Tang Chen

14 papers receiving 2.9k citations

Hit Papers

AID is required to initiate Nbs1/γ-H2AX focus formation a... 2001 2026 2009 2017 2001 100 200 300 400
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.

  1. AID is required to initiate Nbs1/γ-H2AX focus formation and mutations at sites of class switching
    2001 409 citations Simone Petersen, Rafael Casellas et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Tang Chen United States 12 2.4k 871 717 529 253 14 3.0k
Alexey V. Ivanov United States 24 2.2k 0.9× 744 0.9× 506 0.7× 471 0.9× 240 0.9× 50 2.7k
Yunmei Ma United States 18 3.0k 1.3× 857 1.0× 410 0.6× 526 1.0× 365 1.4× 22 3.4k
Leigh Zawel United States 26 3.9k 1.6× 852 1.0× 436 0.6× 466 0.9× 502 2.0× 39 4.5k
Elsa Callén United States 33 4.0k 1.7× 1.4k 1.6× 738 1.0× 592 1.1× 481 1.9× 44 4.8k
Olle Sangfelt Sweden 31 2.3k 1.0× 1.3k 1.5× 691 1.0× 553 1.0× 220 0.9× 51 3.4k
Catherine T. Yan United States 14 1.8k 0.7× 669 0.8× 579 0.8× 336 0.6× 128 0.5× 18 2.2k
Saïd Aoufouchi France 22 1.8k 0.7× 638 0.7× 941 1.3× 443 0.8× 221 0.9× 49 2.7k
Eric S. Martin United States 24 1.6k 0.6× 578 0.7× 502 0.7× 386 0.7× 333 1.3× 57 2.7k
Haihui Lu United States 17 1.6k 0.6× 793 0.9× 370 0.5× 355 0.7× 152 0.6× 27 2.1k
T Blunt United Kingdom 10 1.7k 0.7× 597 0.7× 370 0.5× 382 0.7× 182 0.7× 10 2.1k

Countries citing papers authored by Hua Tang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hua Tang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua Tang Chen. 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 Hua Tang Chen. The network helps show where Hua Tang Chen may publish in the future.

Co-authorship network of co-authors of Hua Tang Chen

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

All Works

14 of 14 papers shown
1.
Barlow, Jacqueline H., Robert B. Faryabi, Elsa Callén, et al.. (2013). Identification of Early Replicating Fragile Sites that Contribute to Genome Instability. Cell. 152(3). 620–632. 325 indexed citations
2.
Dmitrieva, Natalia I., Hua Tang Chen, André Nussenzweig, & Maurice B. Burg. (2009). Knockout of Ku86 accelerates cellular senescence induced by high NaCl. Aging. 1(2). 245–253. 3 indexed citations
3.
Difilippantonio, Simone, Eric J. Gapud, Nancy Wong, et al.. (2008). 53BP1 facilitates long-range DNA end-joining during V(D)J recombination. Nature. 456(7221). 529–533. 249 indexed citations
4.
Robbiani, Davide F., Anne Bothmer, Elsa Callén, et al.. (2008). AID Is Required for the Chromosomal Breaks in c-myc that Lead to c-myc/IgH Translocations. Cell. 135(6). 1028–1038. 332 indexed citations
5.
Reina‐San‐Martin, Bernardo, Hua Tang Chen, André Nussenzweig, & Michel C. Nussenzweig. (2004). ATM Is Required for Efficient Recombination between Immunoglobulin Switch Regions. The Journal of Experimental Medicine. 200(9). 1103–1110. 164 indexed citations
6.
Furuta, Takahisa, Haruyuki Takemura, Gregory J. Aune, et al.. (2003). Phosphorylation of Histone H2AX and Activation of Mre11, Rad50, and Nbs1 in Response to Replication-dependent DNA Double-strand Breaks Induced by Mammalian DNA Topoisomerase I Cleavage Complexes. Journal of Biological Chemistry. 278(22). 20303–20312. 373 indexed citations
7.
Difilippantonio, Michael J., Simone Petersen, Hua Tang Chen, et al.. (2002). Evidence for Replicative Repair of DNA Double-Strand Breaks Leading to Oncogenic Translocation and Gene Amplification. The Journal of Experimental Medicine. 196(4). 469–480. 185 indexed citations
8.
Petersen, Simone, Rafael Casellas, Bernardo Reina‐San‐Martin, et al.. (2001). AID is required to initiate Nbs1/γ-H2AX focus formation and mutations at sites of class switching. Nature. 414(6864). 660–665. 409 indexed citations breakdown →
9.
Yannoutsos, N., Patrick C. Wilson, Wong Yu, et al.. (2001). The Role of Recombination Activating Gene (RAG) Reinduction in Thymocyte Development in Vivo. The Journal of Experimental Medicine. 194(4). 471–480. 59 indexed citations
10.
Sekiguchi, JoAnn, David O. Ferguson, Hua Tang Chen, et al.. (2001). Genetic interactions between ATM and the nonhomologous end-joining factors in genomic stability and development. Proceedings of the National Academy of Sciences. 98(6). 3243–3248. 129 indexed citations
11.
Kumaravel, T. S., Althaf Lohani, Amar Joshi, et al.. (2000). Enhanced sensitivity and long-term G2 arrest in hydrogen peroxide-treated Ku80-null cells are unrelated to DNA repair defects. Free Radical Biology and Medicine. 29(11). 1166–1176. 23 indexed citations
12.
Difilippantonio, Michael J., Jie Zhu, Hua Tang Chen, et al.. (2000). DNA repair protein Ku80 suppresses chromosomal aberrations and malignant transformation. Nature. 404(6777). 510–514. 456 indexed citations
13.
Chen, Hua Tang, Avinash Bhandoola, Michael J. Difilippantonio, et al.. (2000). Response to RAG-Mediated V(D)J Cleavage by NBS1 and γ-H2AX. Science. 290(5498). 1962–1964. 261 indexed citations
14.
Chen, Hua Tang, et al.. (1996). Rabbit DQ52 and DH gene expression in early B-cell development. Molecular Immunology. 33(17-18). 1313–1321. 10 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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