Grace Lin

653 total citations
20 papers, 384 citations indexed

About

Grace Lin is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Grace Lin has authored 20 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Grace Lin's work include Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Grace Lin is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Grace Lin collaborates with scholars based in United States, Singapore and Sweden. Grace Lin's co-authors include Joerg Herrmann, Di Wu, Andrea C. Gore, Amir Lerman, Paul A. Friedman, Hector R. Villarraga, Sharon L. Mulvagh, Kebede H. Begna, Thomas H. Keller and Soo Yei Ho and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Comparative Neurology and ACS Applied Materials & Interfaces.

In The Last Decade

Grace Lin

16 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace Lin United States 10 179 104 82 71 36 20 384
John Dixon United Kingdom 8 180 1.0× 122 1.2× 74 0.9× 87 1.2× 51 1.4× 11 508
Martine Duval Canada 7 215 1.2× 44 0.4× 67 0.8× 54 0.8× 24 0.7× 15 427
Simon J. Mountford Australia 10 208 1.2× 44 0.4× 52 0.6× 14 0.2× 87 2.4× 29 363
Peter Kupchak Canada 11 360 2.0× 59 0.6× 47 0.6× 14 0.2× 5 0.1× 17 624
Kyoko Komatsu Japan 8 221 1.2× 24 0.2× 70 0.9× 13 0.2× 40 1.1× 23 455
M. A. Pacciarini Italy 14 148 0.8× 155 1.5× 309 3.8× 12 0.2× 26 0.7× 28 518
Barbara E. Glick‐Wilson United States 12 145 0.8× 38 0.4× 67 0.8× 18 0.3× 38 1.1× 21 392
Lenka Řihakova Canada 8 192 1.1× 53 0.5× 20 0.2× 18 0.3× 26 0.7× 17 329
Christian K. Nickl United States 10 326 1.8× 51 0.5× 34 0.4× 27 0.4× 25 0.7× 18 433
S Caltabiano United States 12 128 0.7× 12 0.1× 33 0.4× 54 0.8× 26 0.7× 28 536

Countries citing papers authored by Grace Lin

Since Specialization
Citations

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

Fields of papers citing papers by Grace Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Grace Lin. A scholar is included among the top collaborators of Grace 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 Grace Lin. Grace Lin 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.
Donisan, Teodora, Dinu Valentin Balanescu, Ian C Chang, et al.. (2025). Radionuclide imaging in cardio-oncology: A clinical decision-making tool. Progress in Cardiovascular Diseases. 93. 66–74.
2.
Fukuda, Masahiro, Grace Lin, Yang Liu, et al.. (2025). Development of Engineered Microparticles for Investigating Enzymatic Degradation of Proteins and Peptides within Phagosomes. ACS Applied Materials & Interfaces. 17(9). 13617–13631.
3.
Liu, Hongqun, Jwan A. Naser, Grace Lin, & Samuel S. Lee. (2024). Reply to: Correspondence on “Cardiomyopathy in cirrhosis: From pathophysiology to clinical care”. JHEP Reports. 6(9). 101129–101129.
4.
Ruddy, Kathryn J., et al.. (2024). Cardiovascular Health Considerations for Primary Care Physicians Treating Breast Cancer Survivors. Mayo Clinic Proceedings. 100(1). 124–140. 2 indexed citations
5.
Naser, Jwan A., Eunjung Lee, Francisco López-Jiménez, et al.. (2024). Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes. JACC Advances. 3(9). 101179–101179.
6.
Naser, Jwan A., Francisco López-Jiménez, Alice Y. Chang, et al.. (2023). Artificial Intelligence-Augmented Electrocardiogram in Determining Sex. Mayo Clinic Proceedings. 98(4). 541–548. 9 indexed citations
7.
Naser, Jwan A., Zachi I. Attia, Sorin V. Pislaru, et al.. (2022). Artificial Intelligence Application in Graves Disease. Mayo Clinic Proceedings. 97(4). 730–737. 4 indexed citations
8.
Hubbard, Joleen M., Jun Yin, Erin L. Schenk, et al.. (2021). Phase I study of cediranib, an oral VEGFR inhibitor, in combination with selumetinib, an oral MEK inhibitor, in patients with advanced solid malignancies. Investigational New Drugs. 40(1). 115–123. 2 indexed citations
9.
Baburajendran, Nithya, Grace Lin, Weijun Xu, et al.. (2021). Structure–activity relationship studies of allosteric inhibitors of EYA2 tyrosine phosphatase. Protein Science. 31(2). 422–431. 6 indexed citations
10.
Lin, Grace, et al.. (2020). Risk of QTc prolongation among cancer patients treated with tyrosine kinase inhibitors. International Journal of Cancer. 147(11). 3160–3167. 43 indexed citations
11.
Lin, Grace, et al.. (2019). Risk of QTc interval prolongation among cancer patients treated with tyrosine kinase inhibitors.. Journal of Clinical Oncology. 37(15_suppl). 3033–3033. 1 indexed citations
12.
Ho, Soo Yei, Jenefer Alam, Duraiswamy A. Jeyaraj, et al.. (2017). Scaffold Hopping and Optimization of Maleimide Based Porcupine Inhibitors. Journal of Medicinal Chemistry. 60(15). 6678–6692. 26 indexed citations
13.
Snipelisky, David, Jung Tak Park, Amir Lerman, et al.. (2017). How to Develop a Cardio-Oncology Clinic. Heart Failure Clinics. 13(2). 347–359. 33 indexed citations
14.
Iwase, Shigeki, Emily Brookes, Saurabh Agarwal, et al.. (2016). A Mouse Model of X-linked Intellectual Disability Associated with Impaired Removal of Histone Methylation. Cell Reports. 14(5). 1000–1009. 93 indexed citations
15.
Barros‐Gomes, Sergio, Joerg Herrmann, Sharon L. Mulvagh, et al.. (2016). Rationale for setting up a cardio-oncology unit: our experience at Mayo Clinic. Cardio-Oncology. 2(1). 5–5. 35 indexed citations
16.
Ng, Fui Mee, Anders Poulsen, Wei-Guang Seetoh, et al.. (2015). Application of Fragment‐Based Drug Discovery against DNA Gyrase B. ChemPlusChem. 80(8). 1250–1254. 12 indexed citations
17.
Poulsen, Anders, Soo Yei Ho, Weiling Wang, et al.. (2015). Pharmacophore Model for Wnt/Porcupine Inhibitors and Its Use in Drug Design. Journal of Chemical Information and Modeling. 55(7). 1435–1448. 19 indexed citations
18.
Larsson, Andreas, Anna Jansson, Fui Mee Ng, et al.. (2013). Fragment-Based Ligand Design of Novel Potent Inhibitors of Tankyrases. Journal of Medicinal Chemistry. 56(11). 4497–4508. 54 indexed citations
19.
Sareyyüpoğlu, Başar, James E. Davies, Grace Lin, & Thoralf M. Sundt. (2009). Concomitant giant coronary artery and coronary sinus aneurysms. Journal of Thoracic and Cardiovascular Surgery. 137(3). 763–765. 2 indexed citations
20.
Wu, Di, Grace Lin, & Andrea C. Gore. (2008). Age‐related changes in hypothalamic androgen receptor and estrogen receptor α in male rats. The Journal of Comparative Neurology. 512(5). 688–701. 43 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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