Xiaojiang S. Chen

6.3k total citations
93 papers, 4.8k citations indexed

About

Xiaojiang S. Chen is a scholar working on Molecular Biology, Virology and Epidemiology. According to data from OpenAlex, Xiaojiang S. Chen has authored 93 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 23 papers in Virology and 20 papers in Epidemiology. Recurrent topics in Xiaojiang S. Chen's work include DNA Repair Mechanisms (28 papers), HIV Research and Treatment (23 papers) and DNA and Nucleic Acid Chemistry (15 papers). Xiaojiang S. Chen is often cited by papers focused on DNA Repair Mechanisms (28 papers), HIV Research and Treatment (23 papers) and DNA and Nucleic Acid Chemistry (15 papers). Xiaojiang S. Chen collaborates with scholars based in United States, China and Spain. Xiaojiang S. Chen's co-authors include Dahai Gai, Courtney Prochnow, Dawei Li, Michael G. Klein, Brooke Bishop, J. Dasgupta, Ryan J. Fletcher, Robert L. Garcea, Ronda Bransteitter and Myron F. Goodman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Xiaojiang S. Chen

92 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojiang S. Chen United States 43 2.9k 955 924 834 726 93 4.8k
Yong Xiong United States 44 4.0k 1.4× 540 0.6× 797 0.9× 650 0.8× 495 0.7× 151 5.8k
Robert J. Crouch United States 41 5.5k 1.9× 381 0.4× 573 0.6× 1.2k 1.4× 263 0.4× 86 6.4k
Lori Frappier Canada 50 3.6k 1.2× 1.9k 2.0× 1.0k 1.1× 921 1.1× 3.4k 4.7× 117 6.6k
Owen Pornillos United States 32 2.8k 1.0× 1.0k 1.1× 1.3k 1.4× 480 0.6× 280 0.4× 52 5.7k
Steven Kessler United States 23 2.6k 0.9× 668 0.7× 1.9k 2.1× 1.4k 1.6× 586 0.8× 50 5.7k
Karen Beemon United States 39 3.9k 1.3× 541 0.6× 535 0.6× 1.4k 1.7× 427 0.6× 94 5.3k
William M. Rehrauer United States 26 2.0k 0.7× 442 0.5× 706 0.8× 832 1.0× 408 0.6× 55 3.5k
P J Barr United States 39 3.0k 1.0× 1.8k 1.9× 1.3k 1.4× 618 0.7× 519 0.7× 66 7.0k
Leonard Post United States 37 2.5k 0.8× 1.9k 2.0× 607 0.7× 1.7k 2.0× 873 1.2× 74 4.8k
Amos Panet Israel 42 2.9k 1.0× 1.4k 1.4× 1.3k 1.4× 1.3k 1.5× 664 0.9× 175 5.7k

Countries citing papers authored by Xiaojiang S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojiang S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojiang S. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojiang S. Chen. A scholar is included among the top collaborators of Xiaojiang S. 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 Xiaojiang S. Chen. Xiaojiang S. Chen 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.
Ito, Fumiaki, et al.. (2025). Structural basis for Polθ-helicase DNA binding and microhomology-mediated end-joining. Nature Communications. 16(1). 3725–3725. 4 indexed citations
2.
Yang, Hanjing, et al.. (2024). Molecular mechanism for regulating APOBEC3G DNA editing function by the non-catalytic domain. Nature Communications. 15(1). 8773–8773. 3 indexed citations
3.
Ito, Fumiaki, Leonid Minakhin, Gurushankar Chandramouly, et al.. (2024). Structural basis for a Polθ helicase small-molecule inhibitor revealed by cryo-EM. Nature Communications. 15(1). 7003–7003. 6 indexed citations
4.
Sagendorf, Jared, et al.. (2024). Structure-based prediction of protein-nucleic acid binding using graph neural networks. Biophysical Reviews. 16(3). 297–314. 10 indexed citations
5.
Kim, Kyumin, et al.. (2023). Identification of RBM46 as A Novel APOBEC1 Cofactor for C-to-U RNA-Editing Activity. Journal of Molecular Biology. 435(24). 168333–168333. 2 indexed citations
6.
Ito, Fumiaki, et al.. (2023). Structural basis of HIV-1 Vif-mediated E3 ligase targeting of host APOBEC3H. Nature Communications. 14(1). 5241–5241. 11 indexed citations
7.
Kim, Kyumin, et al.. (2023). Unraveling the Enzyme-Substrate Properties for APOBEC3A-Mediated RNA Editing. Journal of Molecular Biology. 435(17). 168198–168198. 5 indexed citations
8.
Ito, Fumiaki, Shiheng Liu, Hanjing Yang, et al.. (2023). Structural basis for HIV-1 antagonism of host APOBEC3G via Cullin E3 ligase. Science Advances. 9(1). eade3168–eade3168. 21 indexed citations
9.
10.
Chandramouly, Gurushankar, Jiemin Zhao, Shane McDevitt, et al.. (2021). Polθ reverse transcribes RNA and promotes RNA-templated DNA repair. Science Advances. 7(24). 57 indexed citations
11.
Greenleaf, William B., et al.. (2014). Mechanism of Subunit Coordination of an AAA+ Hexameric Molecular Nanomachine. Nanomedicine Nanotechnology Biology and Medicine. 11(3). 531–541. 1 indexed citations
12.
Jin, Shi, Dong Pan, Xianghui Yu, et al.. (2014). The critical residues of helix 5 for in vitro pentamer formation and stability of the papillomavirus capsid protein, L1. Molecular BioSystems. 10(4). 724–727. 7 indexed citations
13.
Bienkowska‐Haba, Malgorzata, et al.. (2013). Multiple Heparan Sulfate Binding Site Engagements Are Required for the Infectious Entry of Human Papillomavirus Type 16. Journal of Virology. 87(21). 11426–11437. 96 indexed citations
14.
Brewster, Aaron S. & Xiaojiang S. Chen. (2010). Insights into the MCM functional mechanism: lessons learned from the archaeal MCM complex. Critical Reviews in Biochemistry and Molecular Biology. 45(3). 243–256. 41 indexed citations
15.
Sen, U., Lei Zhao, William B. Greenleaf, et al.. (2009). Crystal Structure of the Human Lymphoid Tyrosine Phosphatase Catalytic Domain: Insights into Redox Regulation,. Biochemistry. 48(22). 4838–4845. 45 indexed citations
16.
Prochnow, Courtney, Ronda Bransteitter, & Xiaojiang S. Chen. (2009). APOBEC deaminases-mutases with defensive roles for immunity. Science in China Series C Life Sciences. 52(10). 893–902. 22 indexed citations
17.
Asokan, Rengasamy, Jing Hua, Kendra A. Young, et al.. (2006). Characterization of Human Complement Receptor Type 2 (CR2/CD21) as a Receptor for IFN-α: A Potential Role in Systemic Lupus Erythematosus. The Journal of Immunology. 177(1). 383–394. 61 indexed citations
18.
Fletcher, Ryan J., Jingping Shen, Yacob Gómez-Llorente, et al.. (2005). Double Hexamer Disruption and Biochemical Activities of Methanobacterium thermoautotrophicum MCM. Journal of Biological Chemistry. 280(51). 42405–42410. 45 indexed citations
19.
Fletcher, Ryan J., Brooke Bishop, Ronald P. Leon, et al.. (2003). The structure and function of MCM from archaeal M. Thermoautotrophicum. Nature Structural & Molecular Biology. 10(3). 160–167. 256 indexed citations
20.
Guthridge, Joel M., Kendra A. Young, Matthew G. Gipson, et al.. (2001). Epitope Mapping Using the X-Ray Crystallographic Structure of Complement Receptor Type 2 (CR2)/CD21: Identification of a Highly Inhibitory Monoclonal Antibody That Directly Recognizes the CR2-C3d Interface. The Journal of Immunology. 167(10). 5758–5766. 52 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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