Carl Ng

2.3k total citations
10 papers, 266 citations indexed

About

Carl Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Carl Ng has authored 10 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Carl Ng's work include Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (7 papers) and Biosimilars and Bioanalytical Methods (3 papers). Carl Ng is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (7 papers) and Biosimilars and Bioanalytical Methods (3 papers). Carl Ng collaborates with scholars based in United States, China and Switzerland. Carl Ng's co-authors include Keyang Xu, Surinder Kaur, Shang‐Fan Yu, Dian Su, Thomas H. Pillow, Valerie Quarmby, Rachana Ohri, Ely Cosino, Mehraban Khosraviani and Chae Reed and has published in prestigious journals such as Analytical Chemistry, Journal of Medicinal Chemistry and Journal of Immunological Methods.

In The Last Decade

Carl Ng

10 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Ng United States 8 185 144 132 104 23 10 266
Dian Su United States 11 223 1.2× 184 1.3× 201 1.5× 74 0.7× 31 1.3× 16 363
Anna Pustilnik United States 7 223 1.2× 241 1.7× 75 0.6× 75 0.7× 37 1.6× 7 349
Chetana Rao United States 7 175 0.9× 131 0.9× 167 1.3× 46 0.4× 40 1.7× 20 283
Aimee Fourie-O’Donohue France 9 187 1.0× 103 0.7× 180 1.4× 41 0.4× 31 1.3× 10 279
Michael T. Kim United States 6 260 1.4× 194 1.3× 194 1.5× 29 0.3× 30 1.3× 10 355
Jonathan Jacinto United States 9 302 1.6× 333 2.3× 107 0.8× 138 1.3× 7 0.3× 10 478
Christina L. Zuch de Zafra United States 9 112 0.6× 143 1.0× 104 0.8× 79 0.8× 4 0.2× 18 285
Eric Sousa United States 8 130 0.7× 237 1.6× 108 0.8× 50 0.5× 38 1.7× 9 436
Alexandra M. Terry Australia 9 63 0.3× 140 1.0× 85 0.6× 139 1.3× 15 0.7× 14 308
Rochelle Ayala Australia 8 57 0.3× 249 1.7× 128 1.0× 167 1.6× 5 0.2× 13 328

Countries citing papers authored by Carl Ng

Since Specialization
Citations

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

Fields of papers citing papers by Carl Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Ng

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

All Works

10 of 10 papers shown
1.
Chan, Emily, Carl Ng, Junko Aimi, et al.. (2022). Assessment of KRAS G12C Target Engagement by a Covalent Inhibitor in Tumor Biopsies Using an Ultra-Sensitive Immunoaffinity 2D-LC–MS/MS Approach. Analytical Chemistry. 94(37). 12927–12933. 7 indexed citations
2.
Fourie-O’Donohue, Aimee, Josefa Chuh, Siao Ping Tsai, et al.. (2020). Improved translation of stability for conjugated antibodies using an in vitro whole blood assay. mAbs. 12(1). 1715705–1715705. 8 indexed citations
3.
4.
Staben, Leanna R., Jinhua Chen, Josefa dela Cruz-Chuh, et al.. (2020). Systematic Variation of Pyrrolobenzodiazepine (PBD)-Dimer Payload Physicochemical Properties Impacts Efficacy and Tolerability of the Corresponding Antibody–Drug Conjugates. Journal of Medicinal Chemistry. 63(17). 9603–9622. 13 indexed citations
5.
Ohri, Rachana, Sunil Bhakta, Aimee Fourie-O’Donohue, et al.. (2018). High-Throughput Cysteine Scanning To Identify Stable Antibody Conjugation Sites for Maleimide- and Disulfide-Based Linkers. Bioconjugate Chemistry. 29(2). 473–485. 74 indexed citations
6.
He, Jintang, Dian Su, Carl Ng, et al.. (2017). High-Resolution Accurate-Mass Mass Spectrometry Enabling In-Depth Characterization of in Vivo Biotransformations for Intact Antibody-Drug Conjugates. Analytical Chemistry. 89(10). 5476–5483. 47 indexed citations
7.
Su, Dian, Carl Ng, Mehraban Khosraviani, et al.. (2016). Custom-Designed Affinity Capture LC-MS F(ab′)2 Assay for Biotransformation Assessment of Site-Specific Antibody Drug Conjugates. Analytical Chemistry. 88(23). 11340–11346. 42 indexed citations
8.
Chung, Shan, Yuwen Linda Lin, Chae Reed, et al.. (2014). Characterization of in vitro antibody-dependent cell-mediated cytotoxicity activity of therapeutic antibodies — Impact of effector cells. Journal of Immunological Methods. 407. 63–75. 43 indexed citations
9.
10.
Yang, Jihong, Carl Ng, Henry B. Lowman, et al.. (2008). Quantitative determination of humanized monoclonal antibody rhuMAb2H7 in cynomolgus monkey serum using a Generic Immunoglobulin Pharmacokinetic (GRIP) assay. Journal of Immunological Methods. 335(1-2). 8–20. 20 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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Rankless by CCL
2026