Chao‐Guang Chen

770 total citations
17 papers, 588 citations indexed

About

Chao‐Guang Chen is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Chao‐Guang Chen has authored 17 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Surgery. Recurrent topics in Chao‐Guang Chen's work include Animal Genetics and Reproduction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Xenotransplantation and immune response (5 papers). Chao‐Guang Chen is often cited by papers focused on Animal Genetics and Reproduction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Xenotransplantation and immune response (5 papers). Chao‐Guang Chen collaborates with scholars based in Australia, Switzerland and Germany. Chao‐Guang Chen's co-authors include Martin J. Pearse, Trixie A. Shinkel, Adrienne E. Clarke, Nella Fisicaro, Shaio‐Lim Mau, Evelyn Salvaris, Anthony J.F. d’Apice, Atousa Aminian, Helen Barlow and Peter J. Cowan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Plant Cell.

In The Last Decade

Chao‐Guang Chen

16 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Guang Chen Australia 11 321 257 216 101 69 17 588
Stuart Avery United Kingdom 10 124 0.4× 368 1.4× 47 0.2× 10 0.1× 187 2.7× 14 791
Björn Wieland Germany 8 142 0.4× 167 0.6× 39 0.2× 18 0.2× 185 2.7× 15 472
E. Andresen United States 14 59 0.2× 120 0.5× 296 1.4× 46 0.5× 53 0.8× 59 645
Anette Rink United States 12 23 0.1× 200 0.8× 294 1.4× 65 0.6× 14 0.2× 18 459
J. C. McKay United Kingdom 12 37 0.1× 238 0.9× 186 0.9× 46 0.5× 192 2.8× 16 748
Taofeng Lu China 12 67 0.2× 220 0.9× 53 0.2× 36 0.4× 14 0.2× 34 411
Bernhard Steiner Switzerland 17 28 0.1× 426 1.7× 143 0.7× 37 0.4× 232 3.4× 28 846
Seiji Ihara Japan 12 38 0.1× 169 0.7× 38 0.2× 48 0.5× 57 0.8× 23 409
B. A. Rasmusen United States 15 70 0.2× 142 0.6× 202 0.9× 29 0.3× 68 1.0× 37 570
Sheryl A. Goodart United States 10 68 0.2× 287 1.1× 148 0.7× 38 0.4× 172 2.5× 15 586

Countries citing papers authored by Chao‐Guang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Guang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Guang 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 Chao‐Guang Chen. The network helps show where Chao‐Guang Chen may publish in the future.

Co-authorship network of co-authors of Chao‐Guang Chen

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

All Works

17 of 17 papers shown
1.
Singh, Paramjit, Hai‐Yan Wei, Chao‐Guang Chen, et al.. (2025). Challenges in lentiviral vector production: retro-transduction of producer cell lines. Frontiers in Bioengineering and Biotechnology. 13. 1569298–1569298. 2 indexed citations
2.
Rayzman, Veronika, et al.. (2023). High-Throughput IgG Reformatting and Expression Using Hybrid Secretion Signals and InTag Positive Selection Technology. Methods in molecular biology. 2702. 433–449.
3.
Chia, Jenny, Sabine Pestel, Matthew P. Hardy, et al.. (2021). Increased potency of recombinant VWF D′D3 albumin fusion proteins engineered for enhanced affinity for coagulation factor VIII. Journal of Thrombosis and Haemostasis. 19(11). 2710–2725. 1 indexed citations
4.
Butcher, R.E., Catherine M. Owczarek, Matthew P. Hardy, et al.. (2019). Optimizing high throughput antibody purification by using continuous chromatography media. Protein Expression and Purification. 159. 75–82. 4 indexed citations
5.
Chen, Chao‐Guang, et al.. (2017). High-Throughput IgG Reformatting and Expression. Methods in molecular biology. 1701. 447–461. 3 indexed citations
6.
Schmidt, Péter, R.E. Butcher, Pierre Scotney, et al.. (2016). A robust robotic high-throughput antibody purification platform. Journal of Chromatography A. 1455. 9–19. 22 indexed citations
7.
Chen, Chao‐Guang, Louis Fabri, Michael J. Wilson, & Con Panousis. (2013). One-step zero-background IgG reformatting of phage-displayed antibody fragments enabling rapid and high-throughput lead identification. Nucleic Acids Research. 42(4). e26–e26. 14 indexed citations
8.
Cowan, Peter J., Atousa Aminian, Helen Barlow, et al.. (2000). RENAL XENOGRAFTS FROM TRIPLE-TRANSGENIC PIGS ARE NOT HYPERACUTELY REJECTED BUT CAUSE COAGULOPATHY IN NON-IMMUNOSUPPRESSED BABOONS. Transplantation. 69(12). 2504–2515. 173 indexed citations
9.
Heussler, Volker T., Joel Machado, Paula Fernández, et al.. (1999). The intracellular parasiteTheileria parvaprotects infected T cells from apoptosis. Proceedings of the National Academy of Sciences. 96(13). 7312–7317. 73 indexed citations
10.
Cowan, Peter J., Chao‐Guang Chen, Trixie A. Shinkel, et al.. (1998). KNOCK OUT OF ??1,3-GALACTOSYLTRANSFERASE OR EXPRESSION OF??1,2-FUCOSYLTRANSFERASE FURTHER PROTECTS CD55- AND CD59-EXPRESSING MOUSE HEARTS IN AN EX VIVO MODEL OF XENOGRAFT REJECTION. Transplantation. 65(12). 1599–1604. 40 indexed citations
11.
Chen, Chao‐Guang, Evelyn Salvaris, Margarita Romanella, et al.. (1998). TRANSGENIC EXPRESSION OF HUMAN ??1,2-FUCOSYLTRANSFERASE (H-TRANSFERASE) PROLONGS MOUSE HEART SURVIVAL IN AN EX VIVO MODEL OF XENOGRAFT REJECTION. Transplantation. 65(6). 832–837. 31 indexed citations
12.
Shinkel, Trixie A., Chao‐Guang Chen, Evelyn Salvaris, et al.. (1997). CHANGES IN CELL SURFACE GLYCOSYLATION IN ??1,3-GALACTOSYLTRANSFERASE KNOCKOUT AND ??1,2-FUCOSYLTRANSFERASE TRANSGENIC MICE. Transplantation. 64(2). 197–204. 63 indexed citations
13.
Chen, Chao‐Guang, et al.. (1996). Inhibition of NF-κB activation by a dominant-negative mutant of IκBα. Molecular Immunology. 33(1). 57–61. 18 indexed citations
14.
Chen, Chao‐Guang, Nella Fisicaro, Trixie A. Shinkel, et al.. (1996). Reduction in Gal‐α1,3‐Gal epitope expression in transgenic mice expressing human H‐transferase. Xenotransplantation. 3(1). 69–75. 42 indexed citations
15.
Mau, Shaio‐Lim, Chao‐Guang Chen, Robert L. Moritz, et al.. (1995). Molecular cloning of cDNAs encoding the protein backbones of arabinogalactan‐proteins from the filtrate of suspension‐cultured cells of Pyrus communis and Nicotiana alata. The Plant Journal. 8(2). 269–281. 55 indexed citations
16.
Chen, Chao‐Guang, Shaio‐Lim Mau, & Adrienne E. Clarke. (1993). Nucleotide sequence and style-specific expression of a novel proline-rich protein gene from Nicotiana alata. Plant Molecular Biology. 21(2). 391–395. 42 indexed citations
17.
Chen, Chao‐Guang, Edwina C. Cornish, & Adrienne E. Clarke. (1992). Specific Expression of an Extensin-Like Gene in the Style of Nicotiana alata. The Plant Cell. 4(9). 1053–1053. 5 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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