Su-Jun Deng

821 total citations
9 papers, 369 citations indexed

About

Su-Jun Deng is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Su-Jun Deng has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Su-Jun Deng's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Su-Jun Deng is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Su-Jun Deng collaborates with scholars based in United States, Canada and China. Su-Jun Deng's co-authors include C. Roger MacKenzie, Saran A. Narang, David R. Bundle, N. Martin Young, Tomoko Hirama, Marcia L. Moss, D. Mark Bickett, Millard H. Lambert, Michael P. Weiner and Justin Mitchell and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Su-Jun Deng

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su-Jun Deng United States 7 211 97 72 70 58 9 369
W. Mark Abbott United Kingdom 13 439 2.1× 128 1.3× 86 1.2× 39 0.6× 46 0.8× 23 606
Kevin T. Boulware United States 6 270 1.3× 76 0.8× 61 0.8× 30 0.4× 53 0.9× 6 362
Sandrine Guillard United Kingdom 11 580 2.7× 88 0.9× 126 1.8× 30 0.4× 22 0.4× 12 714
Mary Christie Australia 10 504 2.4× 73 0.8× 34 0.5× 64 0.9× 45 0.8× 21 583
Venkata Ramana Doppalapudi United States 14 334 1.6× 119 1.2× 102 1.4× 57 0.8× 27 0.5× 21 626
Raquel García-Castellanos Spain 14 293 1.4× 26 0.3× 134 1.9× 74 1.1× 64 1.1× 21 569
W. Müller-Klieser Germany 9 173 0.8× 36 0.4× 23 0.3× 71 1.0× 74 1.3× 18 374
Emiko Uchikawa United States 12 418 2.0× 35 0.4× 54 0.8× 39 0.6× 42 0.7× 18 609
Thomas Vercruysse Belgium 13 448 2.1× 93 1.0× 68 0.9× 12 0.2× 108 1.9× 25 643
Feng‐Di T. Lung Taiwan 15 617 2.9× 81 0.8× 204 2.8× 50 0.7× 21 0.4× 27 777

Countries citing papers authored by Su-Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Su-Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Jun Deng. 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 Su-Jun Deng. The network helps show where Su-Jun Deng may publish in the future.

Co-authorship network of co-authors of Su-Jun Deng

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

All Works

9 of 9 papers shown
1.
Xu, Youwei, Canrong Wu, Xiaodan Cao, et al.. (2022). Structural and biochemical mechanism for increased infectivity and immune evasion of Omicron BA.2 variant compared to BA.1 and their possible mouse origins. Cell Research. 32(7). 609–620. 56 indexed citations
2.
Liu, Peipei, Zhongzong Pan, Chunyin Gu, et al.. (2020). An Omalizumab Biobetter Antibody With Improved Stability and Efficacy for the Treatment of Allergic Diseases. Frontiers in Immunology. 11. 596908–596908. 11 indexed citations
3.
Iannone, Marie A., Catherine A. Simmons, Sue H. Kadwell, et al.. (2004). Correlation betweenin VitroPeptide Binding Profiles and Cellular Activities for Estrogen Receptor-Modulating Compounds. Molecular Endocrinology. 18(5). 1064–1081. 47 indexed citations
4.
Deng, Su-Jun, Kenneth H. Pearce, Eric P. Dixon, et al.. (2004). Identification of Peptides That Inhibit the DNA Binding,trans-Activator, and DNA Replication Functions of the Human Papillomavirus Type 11 E2 Protein. Journal of Virology. 78(5). 2637–2641. 12 indexed citations
5.
Deng, Su-Jun, C. Roger MacKenzie, & Saran A. Narang. (2003). Synthetic Antibody Gene Libraries for In Vitro Affinity Maturation. Humana Press eBooks. 51. 329–342. 1 indexed citations
6.
Deng, Su-Jun, D. Mark Bickett, Justin Mitchell, et al.. (2000). Substrate Specificity of Human Collagenase 3 Assessed Using a Phage-displayed Peptide Library. Journal of Biological Chemistry. 275(40). 31422–31427. 105 indexed citations
7.
Tripathi, Pulak, Hong Qin, Su-Jun Deng, et al.. (1998). Antigen mimicry by an anti-idiotypic antibody single chain variable fragment. Molecular Immunology. 35(13). 853–863. 18 indexed citations
8.
MacKenzie, C. Roger, Tomoko Hirama, Su-Jun Deng, et al.. (1996). Analysis by Surface Plasmon Resonance of the Influence of Valence on the Ligand Binding Affinity and Kinetics of an Anti-carbohydrate Antibody. Journal of Biological Chemistry. 271(3). 1527–1533. 113 indexed citations
9.
Deng, Su-Jun, C. Roger MacKenzie, & Saran A. Narang. (1993). Simulataneous Randomization of antibody CDRs by a synthetic ligase chain reaction strategy. Nucleic Acids Research. 21(18). 4418–4419. 6 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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