Gina Lee

3.7k total citations · 1 hit paper
36 papers, 2.3k citations indexed

About

Gina Lee is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Gina Lee has authored 36 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Gina Lee's work include RNA modifications and cancer (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Ubiquitin and proteasome pathways (4 papers). Gina Lee is often cited by papers focused on RNA modifications and cancer (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Ubiquitin and proteasome pathways (4 papers). Gina Lee collaborates with scholars based in United States, South Korea and China. Gina Lee's co-authors include Jongkyeong Chung, Cholsoon Jang, Joshua D. Rabinowitz, Jeehye Park, Morris J. Birnbaum, Raphael J. Morscher, Alexis J. Cowan, Wei Liu, Gregory J. Tesz and Wenyun Lu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gina Lee

33 papers receiving 2.3k citations

Hit Papers

The Small Intestine Converts Dietary Fructose into Glucos... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gina Lee United States 20 1.4k 595 559 432 416 36 2.3k
Bhavapriya Vaitheesvaran United States 17 1.2k 0.9× 575 1.0× 348 0.6× 197 0.5× 598 1.4× 20 2.3k
Sanjay K. Pandey United States 14 2.3k 1.7× 602 1.0× 1.5k 2.7× 281 0.7× 292 0.7× 19 3.3k
Mitsugu Shimobayashi Switzerland 13 1.5k 1.1× 478 0.8× 290 0.5× 117 0.3× 420 1.0× 20 2.3k
Jessica J. Howell United States 12 1.5k 1.1× 276 0.5× 486 0.9× 118 0.3× 291 0.7× 14 2.1k
Kristoffer Rigbolt Denmark 28 1.8k 1.3× 774 1.3× 164 0.3× 297 0.7× 352 0.8× 52 2.8k
Anton Bauer Austria 13 1.3k 1.0× 245 0.4× 256 0.5× 251 0.6× 606 1.5× 20 2.2k
Nada Y. Kalaany United States 12 2.0k 1.4× 659 1.1× 486 0.9× 180 0.4× 441 1.1× 14 3.1k
Pawan Gulati United Kingdom 14 1.7k 1.2× 337 0.6× 313 0.6× 110 0.3× 286 0.7× 14 2.2k
Shu‐Yong Lin China 22 1.9k 1.4× 629 1.1× 397 0.7× 111 0.3× 265 0.6× 35 2.6k
Katrin Düvel United States 9 1.9k 1.4× 398 0.7× 531 0.9× 110 0.3× 385 0.9× 12 2.7k

Countries citing papers authored by Gina Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gina Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gina Lee. A scholar is included among the top collaborators of Gina 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 Gina Lee. Gina 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.
Robinson‐Papp, Jessica, Bridget R. Mueller, Mary Catherine George, et al.. (2025). Gastrointestinal Dysmotility, Autonomic Function, and Small Intestinal Bacterial Overgrowth Among People With Well-Controlled HIV. The Journal of Infectious Diseases. 232(2). 338–345. 1 indexed citations
2.
Jung, Sunhee, Hosung Bae, Won‐Suk Song, et al.. (2025). Dietary fibre-adapted gut microbiome clears dietary fructose and reverses hepatic steatosis. Nature Metabolism. 7(9). 1801–1818.
3.
Chun, Yujin, Joo‐Hwan Kim, Sunhee Jung, et al.. (2024). Circulating biomarkers of kidney angiomyolipoma and cysts in tuberous sclerosis complex patients. iScience. 27(7). 110265–110265.
4.
Ogawa, Takafumi, Meltem Isik, Ziyun Wu, et al.. (2024). Nutrient control of growth and metabolism through mTORC1 regulation of mRNA splicing. Molecular Cell. 84(23). 4558–4575.e8. 5 indexed citations
5.
Cho, Sungyun, Yujin Chun, Long He, et al.. (2023). FAM120A couples SREBP-dependent transcription and splicing of lipogenesis enzymes downstream of mTORC1. Molecular Cell. 83(16). 3010–3026.e8. 17 indexed citations
6.
Kim, Joo‐Hwan, et al.. (2023). MAPK13 stabilization via m6A mRNA modification limits anticancer efficacy of rapamycin. Journal of Biological Chemistry. 299(9). 105175–105175. 1 indexed citations
7.
Lee, Gina, et al.. (2022). m6A in the Signal Transduction Network. Molecules and Cells. 45(7). 435–443. 23 indexed citations
8.
Tang, Hong-Wen, Jui–Hsia Weng, Yanhui Hu, et al.. (2021). mTORC1-chaperonin CCT signaling regulates m 6 A RNA methylation to suppress autophagy. Proceedings of the National Academy of Sciences. 118(10). 53 indexed citations
10.
Jang, Cholsoon, et al.. (2021). Quantitative analysis of m6A RNA modification by LC-MS. STAR Protocols. 2(3). 100724–100724. 13 indexed citations
11.
Cho, Sungyun, Gina Lee, Brian F. Pickering, et al.. (2021). mTORC1 promotes cell growth via m6A-dependent mRNA degradation. Molecular Cell. 81(10). 2064–2075.e8. 71 indexed citations
12.
Kim, Joo‐Hwan & Gina Lee. (2021). Metabolic Control of m6A RNA Modification. Metabolites. 11(2). 80–80. 39 indexed citations
13.
Li, Rui, Stephanie L. Ong, Linh M. Tran, et al.. (2020). Chronic IL-1β-induced inflammation regulates epithelial-to-mesenchymal transition memory phenotypes via epigenetic modifications in non-small cell lung cancer. Scientific Reports. 10(1). 377–377. 76 indexed citations
14.
Lee, Gina, et al.. (2020). Characteristics of Chinese smokers with psychotic disordersand their predictors on smoking cessation in Hong Kong. Tobacco Prevention & Cessation. 6(January). 7–7. 1 indexed citations
15.
Krishnamoorthy, Gnana P., Natalie R. Davidson, Steven D. Leach, et al.. (2018). EIF1AX and RAS Mutations Cooperate to Drive Thyroid Tumorigenesis through ATF4 and c-MYC. Cancer Discovery. 9(2). 264–281. 71 indexed citations
16.
Zheng, Yuxiang, Ting-Yu Lin, Gina Lee, et al.. (2018). Mitochondrial One-Carbon Pathway Supports Cytosolic Folate Integrity in Cancer Cells. Cell. 175(6). 1546–1560.e17. 76 indexed citations
17.
Wada, Shogo, Michael D. Neinast, Cholsoon Jang, et al.. (2016). The tumor suppressor FLCN mediates an alternate mTOR pathway to regulate browning of adipose tissue. Genes & Development. 30(22). 2551–2564. 91 indexed citations
18.
Lai, Shanshan, Dandan Zhao, Peng Cao, et al.. (2015). PP2Acα positively regulates the termination of liver regeneration in mice through the AKT/GSK3β/Cyclin D1 pathway. Journal of Hepatology. 64(2). 352–360. 34 indexed citations
19.
Lee, Gina, et al.. (2011). UVRAG is required for organ rotation by regulating Notch endocytosis in Drosophila. Developmental Biology. 356(2). 588–597. 32 indexed citations
20.
Lee, Gina & Jongkyeong Chung. (2007). Discrete functions of rictor and raptor in cell growth regulation in Drosophila. Biochemical and Biophysical Research Communications. 357(4). 1154–1159. 29 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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