Dian Su

1.1k total citations
16 papers, 363 citations indexed

About

Dian Su is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dian Su has authored 16 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dian Su's work include HER2/EGFR in Cancer Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Biosimilars and Bioanalytical Methods (3 papers). Dian Su is often cited by papers focused on HER2/EGFR in Cancer Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Biosimilars and Bioanalytical Methods (3 papers). Dian Su collaborates with scholars based in United States, United Kingdom and China. Dian Su's co-authors include Donglu Zhang, Shang‐Fan Yu, Keyang Xu, S. Cyrus Khojasteh, Carl Ng, Thomas H. Pillow, Surinder Kaur, Peter S. Dragovich, Jack Sadowsky and Ely Cosino and has published in prestigious journals such as Analytical Chemistry, Molecules and Bioconjugate Chemistry.

In The Last Decade

Dian Su

15 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dian Su United States 11 223 201 184 74 31 16 363
Anna Pustilnik United States 7 223 1.0× 75 0.4× 241 1.3× 75 1.0× 37 1.2× 7 349
Geoffrey Del Rosario United States 5 93 0.4× 128 0.6× 137 0.7× 46 0.6× 28 0.9× 8 254
Michael T. Kim United States 6 260 1.2× 194 1.0× 194 1.1× 29 0.4× 30 1.0× 10 355
Chetana Rao United States 7 175 0.8× 167 0.8× 131 0.7× 46 0.6× 40 1.3× 20 283
Aimee Fourie-O’Donohue France 9 187 0.8× 180 0.9× 103 0.6× 41 0.6× 31 1.0× 10 279
Carl Ng United States 8 185 0.8× 132 0.7× 144 0.8× 104 1.4× 23 0.7× 10 266
Christine Gu United States 9 99 0.4× 112 0.6× 118 0.6× 20 0.3× 41 1.3× 19 238
Xuewen Ma United States 8 75 0.3× 135 0.7× 105 0.6× 40 0.5× 12 0.4× 15 230
Forrest E. Gaul United States 8 303 1.4× 157 0.8× 163 0.9× 43 0.6× 51 1.6× 8 502
Dominik Sala Poland 8 82 0.4× 385 1.9× 137 0.7× 180 2.4× 67 2.2× 9 504

Countries citing papers authored by Dian Su

Since Specialization
Citations

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

Fields of papers citing papers by Dian Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dian Su

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

All Works

16 of 16 papers shown
1.
Kumar, Niyanta, Vaishali Dixit, Howard Burt, et al.. (2025). PBPK Modeling to Predict Clinical Drug–Drug Interaction and Impact of Hepatic Impairment for an ADC With the Payload Auristatin F‐Hydroxypropylamide. CPT Pharmacometrics & Systems Pharmacology. 14(10). 1661–1672.
2.
Zhang, Chenghong, Dian Su, Edna F. Choo, et al.. (2023). Identification of a Discrete Diglucuronide of GDC-0810 in Human Plasma after Oral Administration. Drug Metabolism and Disposition. 51(10). 1284–1294. 3 indexed citations
3.
Ji, Shaofei, Wei Wang, Susan Wong, et al.. (2022). An Integrated Strategy for Assessing the Metabolic Stability and Biotransformation of Macrocyclic Peptides in Drug Discovery toward Oral Delivery. Analytical Chemistry. 94(4). 2032–2041. 13 indexed citations
4.
Kramlinger, Valerie M., Deepak Dalvie, Amit S. Kalgutkar, et al.. (2021). Future of Biotransformation Science in the Pharmaceutical Industry. Drug Metabolism and Disposition. 50(3). 258–267. 12 indexed citations
5.
Su, Dian & Donglu Zhang. (2021). Linker Design Impacts Antibody-Drug Conjugate Pharmacokinetics and Efficacy via Modulating the Stability and Payload Release Efficiency. Frontiers in Pharmacology. 12. 687926–687926. 92 indexed citations
6.
Su, Dian, et al.. (2021). Epithelial Bone Morphogenic Protein 2 and 4 Are Indispensable for Tooth Development. Frontiers in Physiology. 12. 660644–660644. 6 indexed citations
7.
Wang, Wei, S. Cyrus Khojasteh, & Dian Su. (2021). Biosynthetic Strategies for Macrocyclic Peptides. Molecules. 26(11). 3338–3338. 15 indexed citations
8.
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
9.
Zhang, Donglu, Peter S. Dragovich, Shang‐Fan Yu, et al.. (2019). Exposure-Efficacy Analysis of Antibody-Drug Conjugates Delivering an Excessive Level of Payload to Tissues. Drug Metabolism and Disposition. 47(10). 1146–1155. 24 indexed citations
10.
Wang, Shuai, Buyun Chen, Peter S. Dragovich, et al.. (2019). A Novel Depurination Methodology to Assess DNA Alkylation of Chloro-Bis-Seco-Cyclopropylbenzoindoles Allowed for Comparison of Minor-Groove Reactivity. Drug Metabolism and Disposition. 47(5). 547–555. 3 indexed citations
11.
Zhang, Donglu, Shang‐Fan Yu, S. Cyrus Khojasteh, et al.. (2018). Intratumoral Payload Concentration Correlates with the Activity of Antibody–Drug Conjugates. Molecular Cancer Therapeutics. 17(3). 677–685. 31 indexed citations
12.
Wei, Cong, Dian Su, Jian Wang, Wenying Jian, & Donglu Zhang. (2018). LC–MS Challenges in Characterizing and Quantifying Monoclonal Antibodies (mAb) and Antibody-Drug Conjugates (ADC) in Biological Samples. Current Pharmacology Reports. 4(1). 45–63. 23 indexed citations
13.
Zhang, Donglu, Josefa dela Cruz-Chuh, Sudheer Bobba, et al.. (2018). Immolation of p-Aminobenzyl Ether Linker and Payload Potency and Stability Determine the Cell-Killing Activity of Antibody–Drug Conjugates with Phenol-Containing Payloads. Bioconjugate Chemistry. 29(2). 267–274. 22 indexed citations
14.
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
15.
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
16.
Chen, Tao, Dian Su, Jason Gruenhagen, et al.. (2015). Chemical de-conjugation for investigating the stability of small molecule drugs in antibody-drug conjugates. Journal of Pharmaceutical and Biomedical Analysis. 117. 304–310. 22 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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