Stephen Su

2.7k total citations · 1 hit paper
26 papers, 1.9k citations indexed

About

Stephen Su is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Stephen Su has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Immunology. Recurrent topics in Stephen Su's work include HIV Research and Treatment (4 papers), RNA and protein synthesis mechanisms (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Stephen Su is often cited by papers focused on HIV Research and Treatment (4 papers), RNA and protein synthesis mechanisms (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Stephen Su collaborates with scholars based in United States, Australia and Ireland. Stephen Su's co-authors include Benhur Lee, Nikhil Khatwani, Oscar Negrete, Mike C. Wolf, Andrea Bertolotti‐Ciarlet, Hector C. Aguilar, Iain J. McFadyen, David W. Reid, Kristian H. Link and Christopher J. Burns and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Stephen Su

26 papers receiving 1.9k citations

Hit Papers

mRNA structure regulates protein expression through chang... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. mRNA structure regulates protein expression through changes in functional half-life
    2019 348 citations David Mauger, Vladimir Presnyak et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Su United States 18 1.0k 475 469 329 271 26 1.9k
Seng‐Lai Tan United States 24 800 0.8× 688 1.4× 655 1.4× 329 1.0× 95 0.4× 36 2.4k
Petra Neddermann Italy 27 1.8k 1.8× 820 1.7× 507 1.1× 223 0.7× 225 0.8× 36 3.2k
Cécile Voisset France 27 1.2k 1.2× 1.3k 2.8× 365 0.8× 188 0.6× 212 0.8× 57 3.3k
Tamara I. A. Roach United Kingdom 22 888 0.9× 380 0.8× 574 1.2× 332 1.0× 135 0.5× 28 2.0k
Judy A. Mikovits United States 25 843 0.8× 236 0.5× 866 1.8× 285 0.9× 117 0.4× 51 2.2k
Wang‐Shick Ryu South Korea 28 891 0.9× 1.5k 3.2× 288 0.6× 429 1.3× 200 0.7× 57 2.5k
King-Song Jeng Taiwan 33 1.0k 1.0× 1.5k 3.3× 515 1.1× 368 1.1× 147 0.5× 48 2.8k
Andreas Henke Germany 28 843 0.8× 469 1.0× 526 1.1× 712 2.2× 242 0.9× 73 2.5k
Noriko Yokosawa Japan 25 592 0.6× 604 1.3× 764 1.6× 403 1.2× 204 0.8× 55 1.9k
Kenneth S. S. Chang United States 19 679 0.7× 287 0.6× 418 0.9× 301 0.9× 194 0.7× 54 1.6k

Countries citing papers authored by Stephen Su

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Su

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Su. A scholar is included among the top collaborators of Stephen 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 Stephen Su. Stephen Su 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.
Friedland, Shai, Drew Watson, Jennifer Pan, et al.. (2022). Development and Clinical Validation of a Blood Test for Early Detection of Colorectal Adenomas and Cancer for Screening and Postpolypectomy Surveillance. SHILAP Revista de lepidopterología. 1(2). 223–230. 4 indexed citations
2.
Wang, Chengkun, Qiong Xia, Stephen Su, et al.. (2022). CRISPR-Cas12a System With Synergistic Phage Recombination Proteins for Multiplex Precision Editing in Human Cells. Frontiers in Cell and Developmental Biology. 9. 719705–719705. 8 indexed citations
3.
Mauger, David, Vladimir Presnyak, Stephen Su, et al.. (2019). mRNA structure regulates protein expression through changes in functional half-life. Proceedings of the National Academy of Sciences. 116(48). 24075–24083. 348 indexed citations breakdown →
4.
Hewitt, Susannah L., Ailin Bai, D. R. Shackleton Bailey, et al.. (2019). Durable anticancer immunity from intratumoral administration of IL-23, IL-36γ, and OX40L mRNAs. Science Translational Medicine. 11(477). 223 indexed citations
5.
Harms, Brian D., Jeffrey D. Kearns, Stephen Su, et al.. (2011). Optimizing Properties of Antireceptor Antibodies Using Kinetic Computational Models and Experiments. Methods in enzymology on CD-ROM/Methods in enzymology. 502. 67–87. 22 indexed citations
6.
Banwell, Martin G., Mark J. Coster, Natasha L. Hungerford, et al.. (2011). 3,4′-Linked bis(piperidines) related to the haliclonacyclamine class of marine alkaloids: synthesis using crossed-aldol chemistry and preliminary biological evaluations. Organic & Biomolecular Chemistry. 10(1). 154–161. 10 indexed citations
7.
Harrill, Alison H., Paul B. Watkins, Stephen Su, et al.. (2009). Mouse population-guided resequencing reveals that variants in CD44 contribute to acetaminophen-induced liver injury in humans. Genome Research. 19(9). 1507–1515. 136 indexed citations
8.
Burns, Christopher J., Michael F. Harte, Xianyong Bu, et al.. (2009). Discovery of CYT997: a structurally novel orally active microtubule targeting agent. Bioorganic & Medicinal Chemistry Letters. 19(16). 4639–4642. 19 indexed citations
9.
Burns, Christopher J., Emmanuelle Fantino, Ian Phillips, et al.. (2009). CYT997: a novel orally active tubulin polymerization inhibitor with potent cytotoxic and vascular disrupting activity in vitro and in vivo. Molecular Cancer Therapeutics. 8(11). 3036–3045. 28 indexed citations
10.
Sydnes, Magne O., Anna Bezos, Christopher J. Burns, et al.. (2008). Synthesis and Biological Evaluation of Some Enantiomerically Pure C8c–C15 Monoseco Analogues of the Phenanthroquinolizidine-Type Alkaloids Cryptopleurine and Julandine*. Australian Journal of Chemistry. 61(7). 506–520. 4 indexed citations
11.
Burns, Christopher J., Michael F. Harte, Xianyong Bu, et al.. (2008). Discovery of 2-(α-methylbenzylamino) pyrazines as potent Type II inhibitors of FMS. Bioorganic & Medicinal Chemistry Letters. 19(4). 1206–1209. 9 indexed citations
12.
Ballinger, Mandy L., Narin Osman, Andrew F. Wilks, et al.. (2008). Pyrido-Pyrimidine Derivative CYC10424 Inhibits Glycosaminoglycan Changes on Vascular Smooth Muscle-derived Proteoglycans and Reduces Lipoprotein Binding. Journal of Cardiovascular Pharmacology. 52(5). 403–412. 7 indexed citations
13.
Wu, Chunlei, David Delano, Nico Mitro, et al.. (2008). Gene Set Enrichment in eQTL Data Identifies Novel Annotations and Pathway Regulators. PLoS Genetics. 4(5). e1000070–e1000070. 74 indexed citations
14.
Irvine, Katharine M., Christopher J. Burns, Andrew F. Wilks, et al.. (2006). A CSF‐1 receptor kinase inhibitor targets effector functions and inhibits pro‐inflammatory cytokine production from murine macrophage populations. The FASEB Journal. 20(11). 1921–1923. 70 indexed citations
15.
Negrete, Oscar, Mike C. Wolf, Hector C. Aguilar, et al.. (2006). Two Key Residues in EphrinB3 Are Critical for Its Use as an Alternative Receptor for Nipah Virus. PLoS Pathogens. 2(2). e7–e7. 244 indexed citations
16.
Adamiak, Beata, Anthony C. Willis, Edward Hammond, et al.. (2005). The Synthesis and Biological Evaluation of Two Analogues of the C-Riboside Showdomycin. Australian Journal of Chemistry. 58(2). 86–93. 14 indexed citations
17.
Su, Stephen, Patrick Hong, Sarah Baik, et al.. (2004). DC-SIGN Binds to HIV-1 Glycoprotein 120 in a Distinct but Overlapping Fashion Compared with ICAM-2 and ICAM-3. Journal of Biological Chemistry. 279(18). 19122–19132. 50 indexed citations
18.
Parseval, Aymeric de, Stephen Su, John H. Elder, & Benhur Lee. (2004). Specific Interaction of Feline Immunodeficiency Virus Surface Glycoprotein with Human DC-SIGN. Journal of Virology. 78(5). 2597–2600. 29 indexed citations
19.
Su, Stephen, Kevin B. Gurney, & Benhur Lee. (2003). Sugar and Spice: Viral Envelope-DC-SIGN Interactions in HIV Pathogenesis. Current HIV Research. 1(1). 87–99. 20 indexed citations
20.
Gonsky, Rivkah, Jeffrey A. Knauf, Rossella Elisei, et al.. (1997). Identification of Rapid Turnover Transcripts Overexpressed in Thyroid Tumors and Thyroid Cancer Cell Lines: Use of a Targeted Differential RNA Display Method to Select for mRNA Subsets. Nucleic Acids Research. 25(19). 3823–3831. 37 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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