Shu-An Lin

1.3k total citations
18 papers, 1.0k citations indexed

About

Shu-An Lin is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Shu-An Lin has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Shu-An Lin's work include Pluripotent Stem Cells Research (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Cell Adhesion Molecules Research (3 papers). Shu-An Lin is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Cell Adhesion Molecules Research (3 papers). Shu-An Lin collaborates with scholars based in United States, Sweden and Australia. Shu-An Lin's co-authors include Joseph C. Wu, Xiaoyan Xie, Sanjiv S. Gambhir, Feng Cao, Manishkumar Patel, Andrew J. Connolly, Irving L. Weissman, Micha Drukker, Scott J. Dylla and Xiaohong Chen and has published in prestigious journals such as Circulation, The Journal of Immunology and Vaccine.

In The Last Decade

Shu-An Lin

18 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu-An Lin United States 12 516 278 231 192 185 18 1.0k
Manishkumar Patel United States 12 594 1.2× 491 1.8× 252 1.1× 198 1.0× 188 1.0× 17 1.2k
Hunter H. Chen United States 11 549 1.1× 204 0.7× 225 1.0× 267 1.4× 118 0.6× 16 1.0k
Marta Vilalta United States 19 388 0.8× 220 0.8× 193 0.8× 224 1.2× 137 0.7× 25 1.1k
Alex Zheleznyak United States 7 542 1.1× 284 1.0× 195 0.8× 72 0.4× 55 0.3× 9 1.8k
Laura S. Sasportas United States 12 283 0.5× 273 1.0× 67 0.3× 241 1.3× 97 0.5× 14 763
Shayan Fakurnejad United States 21 240 0.5× 344 1.2× 315 1.4× 248 1.3× 177 1.0× 38 1.3k
Amanda M. Hamilton Canada 16 242 0.5× 220 0.8× 70 0.3× 74 0.4× 137 0.7× 37 749
Sandra T. van Tiel Netherlands 22 555 1.1× 368 1.3× 124 0.5× 97 0.5× 146 0.8× 53 1.4k
Gaia Zuccolotto Italy 16 300 0.6× 201 0.7× 141 0.6× 56 0.3× 56 0.3× 28 878
Maria da Graça Cabreira-Hansen United States 12 754 1.5× 166 0.6× 185 0.8× 531 2.8× 49 0.3× 14 1.5k

Countries citing papers authored by Shu-An Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shu-An Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-An Lin. 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 Shu-An Lin. The network helps show where Shu-An Lin may publish in the future.

Co-authorship network of co-authors of Shu-An Lin

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

All Works

18 of 18 papers shown
1.
Meyer, Brian K., Debbie Nahas, Andrew Danziger, et al.. (2023). Evaluation of luciferase and prefusion-stabilized F protein from respiratory syncytial virus mRNA/LNPs in pre-clinical models using jet delivery compared to needle and syringe. Vaccine X. 16. 100420–100420. 3 indexed citations
2.
Rubins, Daniel, Xiangjun Meng, Paul McQuade, et al.. (2020). In Vivo Evaluation and Dosimetry Estimate for a High Affinity Affibody PET Tracer Targeting PD-L1. Molecular Imaging and Biology. 23(2). 241–249. 27 indexed citations
3.
Citron, Michael, Manishkumar Patel, Mona Purcell, et al.. (2018). A novel method for strict intranasal delivery of non-replicating RSV vaccines in cotton rats and non-human primates. Vaccine. 36(20). 2876–2885. 17 indexed citations
4.
Trotter, D. E. González, Xiangjun Meng, Paul McQuade, et al.. (2017). In Vivo Imaging of the Programmed Death Ligand 1 by 18F PET. Journal of Nuclear Medicine. 58(11). 1852–1857. 87 indexed citations
5.
Swaminathan, Gokul, Shu-An Lin, Manishkumar Patel, et al.. (2017). Activation of the TLR2-MyD88 pathway is required for in-vivo efficacy of Lipid Nanoparticle based vaccine formulation. The Journal of Immunology. 198(Supplement_1). 79.2–79.2. 2 indexed citations
6.
Chen, Qingshou, Xiangjun Meng, Paul McQuade, et al.. (2017). Folate-PEG-NOTA-Al18F: A New Folate Based Radiotracer for PET Imaging of Folate Receptor-Positive Tumors. Molecular Pharmaceutics. 14(12). 4353–4361. 26 indexed citations
7.
Gonzalez, Raymond J., Shu-An Lin, Bohumil Bednář, et al.. (2017). Vascular Imaging of Matrix Metalloproteinase Activity as an Informative Preclinical Biomarker of Drug-induced Vascular Injury. Toxicologic Pathology. 45(5). 633–648. 4 indexed citations
8.
Patel, Manishkumar, Shu-An Lin, Christopher D. DeMaula, et al.. (2015). Quantitative In Vivo Detection of Chlamydia muridarum Associated Inflammation in a Mouse Model Using Optical Imaging. Mediators of Inflammation. 2015(1). 4 indexed citations
9.
Lin, Shu-An, Brett Connolly, Raymond J. Gonzalez, et al.. (2015). Optical Imaging Biomarkers of Drug-Induced Vascular Injury. Molecular Imaging. 14(1). 1–10. 4 indexed citations
11.
Lin, Shu-An, Gabriel Kolle, Sean M. Grimmond, et al.. (2010). Subfractionation of Differentiating Human Embryonic Stem Cell Populations Allows the Isolation of a Mesodermal Population Enriched for Intermediate Mesoderm and Putative Renal Progenitors. Stem Cells and Development. 19(10). 1637–1648. 39 indexed citations
12.
Zhang, Guo‐Jun, Tsing‐Bau Chen, Brett Connolly, et al.. (2009). In Vivo Optical Imaging of LacZ Expression Using lacZ Transgenic Mice. Assay and Drug Development Technologies. 7(4). 391–399. 7 indexed citations
13.
Kossodo, Sylvie, Maureen Pickarski, Shu-An Lin, et al.. (2009). Dual In Vivo Quantification of Integrin-targeted and Protease-activated Agents in Cancer Using Fluorescence Molecular Tomography (FMT). Molecular Imaging and Biology. 12(5). 488–499. 70 indexed citations
14.
Cao, Feng, Micha Drukker, Shu-An Lin, et al.. (2007). Molecular Imaging of Embryonic Stem Cell Misbehavior and Suicide Gene Ablation. Cloning and Stem Cells. 9(1). 107–117. 97 indexed citations
15.
Lin, Shu-An, Xiaoyan Xie, Manishkumar Patel, et al.. (2007). Quantum dot imaging for embryonic stem cells. BMC Biotechnology. 7(1). 67–67. 132 indexed citations
16.
Cao, Feng, Shu-An Lin, Xiaoyan Xie, et al.. (2006). In Vivo Visualization of Embryonic Stem Cell Survival, Proliferation, and Migration After Cardiac Delivery. Circulation. 113(7). 1005–1014. 389 indexed citations
17.
Gheysens, Olivier, Shu-An Lin, Feng Cao, et al.. (2006). Noninvasive Evaluation of Immunosuppressive Drug Efficacy on Acute Donor Cell Survival. Molecular Imaging and Biology. 8(3). 163–170. 17 indexed citations
18.
Wu, Joseph C., Joshua M. Spin, Feng Cao, et al.. (2006). Transcriptional profiling of reporter genes used for molecular imaging of embryonic stem cell transplantation. Physiological Genomics. 25(1). 29–38. 62 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026