Sheng‐Jiun Wu

1.6k total citations
32 papers, 1.1k citations indexed

About

Sheng‐Jiun Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Sheng‐Jiun Wu has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Immunology and 14 papers in Molecular Biology. Recurrent topics in Sheng‐Jiun Wu's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein purification and stability (4 papers). Sheng‐Jiun Wu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein purification and stability (4 papers). Sheng‐Jiun Wu collaborates with scholars based in United States, Spain and Israel. Sheng‐Jiun Wu's co-authors include Donald H. Dean, Jinquan Luo, A. Teplyakov, Eilyn R. Lacy, Karyn T. O’Neil, Gary L. Gilliland, Yiqing Feng, Galina Obmolova, Steven Jacobs and Gabriela Canziani and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Sheng‐Jiun Wu

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng‐Jiun Wu United States 17 730 442 315 206 162 32 1.1k
Natalie J. Tigue United Kingdom 13 655 0.9× 81 0.2× 144 0.5× 107 0.5× 44 0.3× 23 880
Derek Croote United States 10 502 0.7× 68 0.2× 384 1.2× 144 0.7× 19 0.1× 23 1.2k
R Bredehorst Germany 16 300 0.4× 104 0.2× 339 1.1× 194 0.9× 90 0.6× 32 889
N Ramesh United States 12 251 0.3× 83 0.2× 696 2.2× 91 0.4× 33 0.2× 19 1.0k
Nadia Al-Alawi United States 7 802 1.1× 119 0.3× 320 1.0× 207 1.0× 9 0.1× 8 1.3k
Marcus Zachariah United States 11 353 0.5× 48 0.1× 409 1.3× 89 0.4× 24 0.1× 29 1.0k
David R. Hurwitz Israel 22 938 1.3× 272 0.6× 109 0.3× 383 1.9× 8 0.0× 28 1.4k
Emin T. Ulug United States 15 788 1.1× 95 0.2× 156 0.5× 224 1.1× 8 0.0× 21 1.2k
Paul C. Cheng United States 9 366 0.5× 160 0.4× 703 2.2× 67 0.3× 45 0.3× 9 1.0k
Stephen J. Zoog United States 15 439 0.6× 55 0.1× 136 0.4× 234 1.1× 18 0.1× 31 725

Countries citing papers authored by Sheng‐Jiun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Jiun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Jiun Wu. 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 Sheng‐Jiun Wu. The network helps show where Sheng‐Jiun Wu may publish in the future.

Co-authorship network of co-authors of Sheng‐Jiun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Jiun Wu. A scholar is included among the top collaborators of Sheng‐Jiun Wu 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 Sheng‐Jiun Wu. Sheng‐Jiun Wu 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.
Hamuro, Yoshitomo, et al.. (2025). Enhancement of Protein–Protein Interactions by Destabilizing Mutations Revealed by HDX-MS. Biomolecules. 15(8). 1201–1201.
2.
3.
Powers, Gordon, Jocelyn Sendecki, Kathryn Packman, et al.. (2022). Discovery and pharmacological characterization of cetrelimab (JNJ-63723283), an anti–programmed cell death protein-1 (PD-1) antibody, in human cancer models. Cancer Chemotherapy and Pharmacology. 89(4). 515–527. 9 indexed citations
4.
Moores, Sheri L., Mark L. Chiu, Barbara S. Bushey, et al.. (2016). A Novel Bispecific Antibody Targeting EGFR and cMet Is Effective against EGFR Inhibitor–Resistant Lung Tumors. Cancer Research. 76(13). 3942–3953. 188 indexed citations
5.
Malia, T., A. Teplyakov, Robin Ernst, et al.. (2016). Epitope mapping and structural basis for the recognition of phosphorylated tau by the anti‐tau antibody AT8. Proteins Structure Function and Bioinformatics. 84(4). 427–434. 84 indexed citations
6.
Santulli-Marotto, Sandra, Ken Boakye, Eilyn R. Lacy, et al.. (2013). Engagement of Two Distinct Binding Domains on CCL17 Is Required for Signaling through CCR4 and Establishment of Localized Inflammatory Conditions in the Lung. PLoS ONE. 8(12). e81465–e81465. 15 indexed citations
7.
Luo, Jinquan, Galina Obmolova, T. Malia, et al.. (2012). Lateral Clustering of TLR3:dsRNA Signaling Units Revealed by TLR3ecd:3Fabs Quaternary Structure. Journal of Molecular Biology. 421(1). 112–124. 42 indexed citations
8.
Wu, Sheng‐Jiun, Jinquan Luo, Eilyn R. Lacy, et al.. (2012). Mechanisms of self-association of a human monoclonal antibody CNTO607. Protein Engineering Design and Selection. 25(10). 531–538. 67 indexed citations
9.
Luo, Jinquan, Sheng‐Jiun Wu, Eilyn R. Lacy, et al.. (2010). Structural Basis for the Dual Recognition of IL-12 and IL-23 by Ustekinumab. Journal of Molecular Biology. 402(5). 797–812. 79 indexed citations
10.
Wu, Sheng‐Jiun, Jinquan Luo, Karyn T. O’Neil, et al.. (2010). Structure-based engineering of a monoclonal antibody for improved solubility. Protein Engineering Design and Selection. 23(8). 643–651. 148 indexed citations
11.
Jacobs, Steven, et al.. (2009). Cross-Interaction Chromatography: A Rapid Method to Identify Highly Soluble Monoclonal Antibody Candidates. Pharmaceutical Research. 27(1). 65–71. 75 indexed citations
12.
Teplyakov, A., Galina Obmolova, Sheng‐Jiun Wu, et al.. (2009). Epitope Mapping of Anti-Interleukin-13 Neutralizing Antibody CNTO607. Journal of Molecular Biology. 389(1). 115–123. 29 indexed citations
13.
Luo, Jinquan, A. Teplyakov, Galina Obmolova, et al.. (2009). Structure of the EMMPRIN N‐terminal domain 1: Dimerization via β‐strand swapping. Proteins Structure Function and Bioinformatics. 77(4). 1009–1014. 16 indexed citations
14.
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Wu, Sheng‐Jiun & Irwin Chaiken. (2003). Biosensor Analysis of Receptor-Ligand Interactions. Humana Press eBooks. 249. 93–110. 7 indexed citations
16.
Li, Chuanzhao, et al.. (2002). Coiled coil miniprotein randomization on phage leads to charge pattern mimicry of the receptor recognition determinant of interleukin 5. Journal of Molecular Recognition. 15(1). 33–43. 7 indexed citations
17.
Wu, Sheng‐Jiun, et al.. (2000). Multisite Mutagenesis of Interleukin 5 Differentiates Sites for Receptor Recognition and Receptor Activation. Biochemistry. 40(3). 852–852. 1 indexed citations
18.
Wu, Sheng‐Jiun, Christiane Koller, Deborah L. Miller, Leah S. Bauer, & Donald H. Dean. (2000). Enhanced toxicity of Bacillus thuringiensis Cry3A δ‐endotoxin in coleopterans by mutagenesis in a receptor binding loop. FEBS Letters. 473(2). 227–232. 38 indexed citations
19.
20.
Wu, Sheng‐Jiun & Donald H. Dean. (1996). Functional Significance of Loops in The Receptor Binding Domain ofBacillus thuringiensisCryIIIA δ-Endotoxin. Journal of Molecular Biology. 255(4). 628–640. 92 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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