Christopher J. Jang

489 total citations
9 papers, 375 citations indexed

About

Christopher J. Jang is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Christopher J. Jang has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Christopher J. Jang's work include Viral Infections and Immunology Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Plant Virus Research Studies (3 papers). Christopher J. Jang is often cited by papers focused on Viral Infections and Immunology Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Plant Virus Research Studies (3 papers). Christopher J. Jang collaborates with scholars based in Canada, United States and Netherlands. Christopher J. Jang's co-authors include Eric Jan, Amita Sehgal, Nicholas F. Lahens, John B. Hogenesch, Namni Goel, Frederic D. Bushman, Peter Meerlo, Lei Bai, Shirley Zhang and David F. Dinges and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Christopher J. Jang

9 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher J. Jang Canada	9	226	98	97	90	71	9	375
Xiaojing Ma China	9	280 1.2×	460 4.7×	185 1.9×	129 1.4×	12 0.2×	13	726
Rui Ye China	10	202 0.9×	304 3.1×	385 4.0×	148 1.6×	9 0.1×	20	661
Yohei Matsunaga United States	13	251 1.1×	30 0.3×	74 0.8×	159 1.8×	39 0.5×	26	527
Neide Vieira Portugal	10	257 1.1×	32 0.3×	25 0.3×	44 0.5×	7 0.1×	13	405
Elizabeth Woo United States	8	118 0.5×	27 0.3×	6 0.1×	43 0.5×	20 0.3×	13	319
Kayla G. Townsley United States	9	187 0.8×	57 0.6×	15 0.2×	15 0.2×	29 0.4×	13	333
Xi Zha China	11	109 0.5×	19 0.2×	35 0.4×	20 0.2×	19 0.3×	27	342
Claudia Caradec France	9	292 1.3×	92 0.9×	37 0.4×	114 1.3×	6 0.1×	12	487
Maïté Carre-Pierrat France	11	234 1.0×	37 0.4×	52 0.5×	58 0.6×	18 0.3×	11	342
Christopher S. Nelson United States	12	196 0.9×	31 0.3×	109 1.1×	114 1.3×	2 0.0×	21	560

Countries citing papers authored by Christopher J. Jang

Since Specialization

Citations

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

Fields of papers citing papers by Christopher J. Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Jang. 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 Christopher J. Jang. The network helps show where Christopher J. Jang may publish in the future.

Co-authorship network of co-authors of Christopher J. Jang

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

All Works

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9 of 9 papers shown

Zhang, Shirley, Lei Bai, Namni Goel, et al.. (2017). Human and rat gut microbiome composition is maintained following sleep restriction. Proceedings of the National Academy of Sciences. 114(8). E1564–E1571. 110 indexed citations

Kerr, Craig H., et al.. (2016). Molecular analysis of the factorless internal ribosome entry site in Cricket Paralysis virus infection. Scientific Reports. 6(1). 37319–37319. 17 indexed citations

Jang, Christopher J., Nicholas F. Lahens, John B. Hogenesch, & Amita Sehgal. (2015). Ribosome profiling reveals an important role for translational control in circadian gene expression. Genome Research. 25(12). 1836–1847. 80 indexed citations

Kumar, Shailesh, et al.. (2014). An ecdysone-responsive nuclear receptor regulates circadian rhythms in Drosophila. Nature Communications. 5(1). 43 indexed citations

Zeng, Xi‐Lei, et al.. (2013). Severity of X-linked Dyskeratosis Congenita (DKCX) Cellular Defects Is not Directly Related to Dyskerin ( DKC1 ) Activity in Ribosomal RNA Biogenesis or mRNA Translation. Human Mutation. 34(12). 1698–1707. 20 indexed citations

Park, Seong‐Mi, Ki Young Paek, Christopher J. Jang, et al.. (2011). Translation-competent 48S complex formation on HCV IRES requires the RNA-binding protein NSAP1. Nucleic Acids Research. 39(17). 7791–7802. 26 indexed citations

Jang, Christopher J. & Eric Jan. (2010). Modular domains of the Dicistroviridae intergenic internal ribosome entry site. RNA. 16(6). 1182–1195. 37 indexed citations

Jang, Christopher J., et al.. (2009). Conserved Element of the Dicistrovirus IGR IRES that Mimics an E-site tRNA/Ribosome Interaction Mediates Multiple Functions. Journal of Molecular Biology. 387(1). 42–58. 34 indexed citations

Adams, Jarrett, et al.. (2004). Expression, purification and structural characterization of the scaffoldin hydrophilic X-module from the cellulosome of Clostridium thermocellum. Protein Expression and Purification. 38(2). 258–263. 8 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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