Grace Lee

1.5k total citations
27 papers, 1.1k citations indexed

About

Grace Lee is a scholar working on Molecular Biology, General Health Professions and Immunology. According to data from OpenAlex, Grace Lee has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in General Health Professions and 3 papers in Immunology. Recurrent topics in Grace Lee's work include Mobile Health and mHealth Applications (4 papers), Protein Structure and Dynamics (2 papers) and Obesity, Physical Activity, Diet (2 papers). Grace Lee is often cited by papers focused on Mobile Health and mHealth Applications (4 papers), Protein Structure and Dynamics (2 papers) and Obesity, Physical Activity, Diet (2 papers). Grace Lee collaborates with scholars based in United States, United Kingdom and Germany. Grace Lee's co-authors include Kevin L. Gunderson, Frank J. Steemers, Mark S. Chee, David Barker, Weihua Chang, Richard Shen, Yuqi Wang, Feiya Ma, Guangyong Peng and Subbaratnam Muthukrishnan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Grace Lee

25 papers receiving 1.1k 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 Lee United States 10 670 370 197 104 82 27 1.1k
Friedemann Loos France 17 443 0.7× 242 0.7× 71 0.4× 89 0.9× 164 2.0× 25 1.3k
Diana Ekman Sweden 18 1.3k 1.9× 214 0.6× 210 1.1× 43 0.4× 102 1.2× 45 1.8k
Joseph Day United States 14 560 0.8× 79 0.2× 100 0.5× 227 2.2× 32 0.4× 23 1.2k
Eitan Rubin Israel 19 860 1.3× 112 0.3× 380 1.9× 134 1.3× 94 1.1× 58 1.4k
Siew Loon Ooi United States 13 1.4k 2.1× 230 0.6× 567 2.9× 163 1.6× 36 0.4× 13 1.8k
Cécile Skrzynia United States 18 616 0.9× 589 1.6× 213 1.1× 104 1.0× 14 0.2× 34 1.4k
V. Goyanes Spain 19 560 0.8× 381 1.0× 252 1.3× 139 1.3× 46 0.6× 70 1.9k
Huaqin Pan United States 20 745 1.1× 131 0.4× 465 2.4× 57 0.5× 53 0.6× 36 1.4k
Lisa Postow United States 14 1.4k 2.1× 626 1.7× 76 0.4× 82 0.8× 47 0.6× 16 1.8k
David M. Cox Canada 19 590 0.9× 424 1.1× 141 0.7× 64 0.6× 26 0.3× 48 1.2k

Countries citing papers authored by Grace Lee

Since Specialization
Citations

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

Fields of papers citing papers by Grace Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Grace Lee. A scholar is included among the top collaborators of Grace Lee 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 Lee. Grace Lee 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.
Lee, Grace, et al.. (2024). Adolescent binge ethanol impacts H3K9me3-occupancy at synaptic genes and the regulation of oligodendrocyte development. Frontiers in Molecular Neuroscience. 17. 1389100–1389100.
2.
Sadanandan, Keren R., et al.. (2023). Spatial and temporal resource partitioning in a mixed‐species colony of avian echolocators. Ecology and Evolution. 13(2). e9805–e9805. 3 indexed citations
3.
Dobbs, Thomas L., et al.. (2023). Preparing for the Next Pandemic or Public Health Crisis. Journal of Public Health Management and Practice. 29(5). 611–613. 2 indexed citations
4.
Radhakrishnan, Kavita, et al.. (2022). A Sensor-Controlled Digital Game for Heart Failure Self-Care Based on Behavioral Change Frameworks. PubMed. 2022. 1–6. 1 indexed citations
5.
Mu, Qinghui, Michael Edwards, Jing Zhu, et al.. (2021). Regulation of neonatal IgA production by the maternal microbiota. Proceedings of the National Academy of Sciences. 118(9). 28 indexed citations
6.
Ma, Feiya, et al.. (2021). Emerging role of tumor-derived extracellular vesicles in T cell suppression and dysfunction in the tumor microenvironment. Journal for ImmunoTherapy of Cancer. 9(10). e003217–e003217. 56 indexed citations
7.
Bramante, Carolyn T., et al.. (2021). Affordability and features of home scales for self‐weighing. Clinical Obesity. 11(5). e12475–e12475. 2 indexed citations
8.
Radhakrishnan, Kavita, Christine Julien, Tom Baranowski, et al.. (2020). Usability Testing of a Sensor-Controlled Digital Game to Engage Older Adults with Heart Failure in Physical Activity and Weight Monitoring. Applied Clinical Informatics. 11(5). 873–881. 8 indexed citations
9.
Huang, Shan, et al.. (2019). Phosphorylation of the Gα protein Gpa2 promotes protein kinase A signaling in yeast. Journal of Biological Chemistry. 294(49). 18836–18845. 6 indexed citations
10.
Radhakrishnan, Kavita, et al.. (2019). USABILITY ASSESSMENT OF A SENSOR-CONTROLLED DIGITAL GAME FOR OLDER ADULTS WITH HEART FAILURE. Innovation in Aging. 3(Supplement_1). S892–S892. 1 indexed citations
11.
Pellegrini, Kathryn L., Dattatraya Patil, Grace Lee, et al.. (2017). Detection of prostate cancer‐specific transcripts in extracellular vesicles isolated from post‐DRE urine. The Prostate. 77(9). 990–999. 27 indexed citations
12.
Armstrong, Katharine Fairlie, et al.. (2017). Identification of human short introns. PLoS ONE. 12(5). e0175393–e0175393. 12 indexed citations
13.
Chu, Samuel Kai Wah, Alvin C. M. Kwan, Rebecca Reynolds, et al.. (2015). Promoting Sex Education Among Teenagers Through an Interactive Game: Reasons for Success and Implications. Games for Health Journal. 4(3). 168–174. 53 indexed citations
14.
Chen, Jingchun, Grace Lee, Ayman H. Fanous, et al.. (2011). Two non-synonymous markers in PTPN21, identified by genome-wide association study data-mining and replication, are associated with schizophrenia. Schizophrenia Research. 131(1-3). 43–51. 16 indexed citations
15.
Lee, Grace. (2009). Schizophrenia Candidate Genes Study. VCU Scholars Compass (Virginia Commonwealth University). 1 indexed citations
16.
Kliebenstein, Daniel J., John C. D’Auria, Jae Hak Kim, et al.. (2007). Characterization of seed‐specific benzoyloxyglucosinolate mutations in Arabidopsis thaliana. The Plant Journal. 51(6). 1062–1076. 90 indexed citations
17.
Wang, Chihuei, et al.. (2006). Identification of USF2 as a key regulator of Runx2 expression in mouse pluripotent mesenchymal D1 cells. Molecular and Cellular Biochemistry. 292(1-2). 79–88. 6 indexed citations
18.
Gunderson, Kevin L., et al.. (2005). A genome-wide scalable SNP genotyping assay using microarray technology. Nature Genetics. 37(5). 549–554. 458 indexed citations
19.
Steemers, Frank J., Weihua Chang, Grace Lee, et al.. (2005). Whole-genome genotyping with the single-base extension assay. Nature Methods. 3(1). 31–33. 263 indexed citations
20.
Huang, Jenq‐Kuen, et al.. (1989). Identification of an endochitinase cDNA clone from barley aleurone cells. Plant Molecular Biology. 12(4). 403–412. 41 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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