Zuojian Tang

3.2k total citations
25 papers, 779 citations indexed

About

Zuojian Tang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Zuojian Tang has authored 25 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Zuojian Tang's work include CRISPR and Genetic Engineering (7 papers), Chromosomal and Genetic Variations (5 papers) and RNA and protein synthesis mechanisms (5 papers). Zuojian Tang is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Chromosomal and Genetic Variations (5 papers) and RNA and protein synthesis mechanisms (5 papers). Zuojian Tang collaborates with scholars based in United States, France and United Kingdom. Zuojian Tang's co-authors include Stuart M. Brown, David Fenyö, Jef D. Boeke, Alexander Statnikov, Mark Grivainis, Evgeny Shmelkov, Iannis Aifantis, Jiří Zavadil, Jay P. Patel and Jared P. Steranka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Zuojian Tang

23 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zuojian Tang United States 15 512 172 130 111 88 25 779
Justin S. Becker United States 11 975 1.9× 133 0.8× 99 0.8× 102 0.9× 70 0.8× 12 1.2k
Chongjian Chen China 17 739 1.4× 214 1.2× 60 0.5× 265 2.4× 206 2.3× 31 1.0k
Nicola Reynolds United Kingdom 18 1.2k 2.3× 150 0.9× 111 0.9× 321 2.9× 81 0.9× 26 1.5k
Manila Deiana Italy 10 425 0.8× 94 0.5× 221 1.7× 387 3.5× 44 0.5× 13 845
Kerry J. Schimenti United States 18 1.1k 2.2× 216 1.3× 275 2.1× 344 3.1× 184 2.1× 24 1.4k
James Wettenhall Australia 8 562 1.1× 131 0.8× 59 0.5× 134 1.2× 152 1.7× 9 1.1k
Andrés Canela United States 10 1.1k 2.1× 197 1.1× 31 0.2× 148 1.3× 99 1.1× 11 1.3k
Samuel Collombet France 15 1.3k 2.5× 168 1.0× 35 0.3× 307 2.8× 143 1.6× 21 1.5k
Emily K. Jackson United States 5 635 1.2× 133 0.8× 36 0.3× 194 1.7× 237 2.7× 6 838
Laura Bannister Canada 13 399 0.8× 104 0.6× 72 0.6× 119 1.1× 88 1.0× 19 584

Countries citing papers authored by Zuojian Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zuojian Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuojian Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zuojian Tang. A scholar is included among the top collaborators of Zuojian Tang 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 Zuojian Tang. Zuojian Tang 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.
Tang, Zuojian, et al.. (2024). PE-SSD: Improved SSD for Small Object Detection. 383–389.
2.
Ho, Cheuk Hei, Chiara Paolantoni, Praveen Bawankar, et al.. (2021). An exon junction complex‐independent function of Barentsz in neuromuscular synapse growth. EMBO Reports. 23(1). e53231–e53231. 2 indexed citations
3.
Karanović, Sandra, Maude Ardin, Zuojian Tang, et al.. (2021). Molecular profiles and urinary biomarkers of upper tract urothelial carcinomas associated with aristolochic acid exposure. International Journal of Cancer. 150(2). 374–386. 8 indexed citations
4.
Agmon, Neta, Zuojian Tang, Tobias Schraink, et al.. (2019). Phylogenetic debugging of a complete human biosynthetic pathway transplanted into yeast. Nucleic Acids Research. 48(1). 486–499. 12 indexed citations
5.
Steranka, Jared P., Zuojian Tang, Mark Grivainis, et al.. (2019). Transposon insertion profiling by sequencing (TIPseq) for mapping LINE-1 insertions in the human genome. Mobile DNA. 10(1). 8–8. 20 indexed citations
6.
Sun, Xiaoji, Xuya Wang, Zuojian Tang, et al.. (2018). Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression. Proceedings of the National Academy of Sciences. 115(24). E5526–E5535. 65 indexed citations
7.
Thomas, Phillip A., Susan Ha, Yu Wang, et al.. (2018). UXT is required for spermatogenesis in mice. PLoS ONE. 13(4). e0195747–e0195747. 6 indexed citations
8.
Tang, Zuojian, Jared P. Steranka, Sisi Ma, et al.. (2017). Human transposon insertion profiling: Analysis, visualization and identification of somatic LINE-1 insertions in ovarian cancer. Proceedings of the National Academy of Sciences. 114(5). E733–E740. 68 indexed citations
9.
Agmon, Neta, Zuojian Tang, Kun Yang, et al.. (2017). Low escape-rate genome safeguards with minimal molecular perturbation ofSaccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 114(8). E1470–E1479. 27 indexed citations
10.
Achanta, Pragathi, Jared P. Steranka, Zuojian Tang, et al.. (2016). Somatic retrotransposition is infrequent in glioblastomas. Mobile DNA. 7(1). 22–22. 19 indexed citations
11.
Sandberg, Magnus, Daniel Vogt, Zuojian Tang, et al.. (2015). Lhx6andLhx8promote palate development through negative regulation of a cell cycle inhibitor gene,p57Kip2. Human Molecular Genetics. 24(17). 5024–5039. 25 indexed citations
12.
Murtha, Matthew, Zuojian Tang, Francesco Strino, et al.. (2014). FIREWACh: high-throughput functional detection of transcriptional regulatory modules in mammalian cells. Nature Methods. 11(5). 559–565. 73 indexed citations
13.
Tang, Zuojian, et al.. (2014). Identification of a Face Enhancer Reveals Direct Regulation of LIM Homeobox 8 (Lhx8) by Wingless-Int (WNT)/β-Catenin Signaling. Journal of Biological Chemistry. 289(44). 30289–30301. 12 indexed citations
14.
Meyer, Julia A., Jinhua Wang, Laura Hogan, et al.. (2013). Relapse-specific mutations in NT5C2 in childhood acute lymphoblastic leukemia. Nature Genetics. 45(3). 290–294. 182 indexed citations
15.
Mijušković, Martina, Stuart M. Brown, Zuojian Tang, et al.. (2012). A Streamlined Method for Detecting Structural Variants in Cancer Genomes by Short Read Paired-End Sequencing. PLoS ONE. 7(10). e48314–e48314. 17 indexed citations
16.
Tchou-Wong, Kam-Meng, Kathrin Kiok, Zuojian Tang, et al.. (2011). Effects of Nickel Treatment on H3K4 Trimethylation and Gene Expression. PLoS ONE. 6(3). e17728–e17728. 27 indexed citations
17.
Shmelkov, Evgeny, Zuojian Tang, Iannis Aifantis, & Alexander Statnikov. (2011). Assessing quality and completeness of human transcriptional regulatory pathways on a genome-wide scale. Biology Direct. 6(1). 15–15. 49 indexed citations
18.
Kijimoto, Teiya, James C. Costello, Zuojian Tang, Armin P. Moczek, & Justen Andrews. (2009). EST and microarray analysis of horn development in Onthophagus beetles. BMC Genomics. 10(1). 504–504. 34 indexed citations
19.
Tang, Zuojian, et al.. (2009). ESTPiper – a web-based analysis pipeline for expressed sequence tags. BMC Genomics. 10(1). 174–174. 17 indexed citations
20.
Finak, Greg, et al.. (2004). BIAS: Bioinformatics Integrated Application Software. Computer applications in the biosciences. 21(8). 1745–1746. 7 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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