Genee Y. Lee

3.1k total citations · 2 hit papers
9 papers, 2.2k citations indexed

About

Genee Y. Lee is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Genee Y. Lee has authored 9 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Biophysics. Recurrent topics in Genee Y. Lee's work include Cancer Cells and Metastasis (4 papers), Cell Image Analysis Techniques (4 papers) and 3D Printing in Biomedical Research (3 papers). Genee Y. Lee is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Cell Image Analysis Techniques (4 papers) and 3D Printing in Biomedical Research (3 papers). Genee Y. Lee collaborates with scholars based in United States, Denmark and Germany. Genee Y. Lee's co-authors include Mina J. Bissell, Paraic A. Kenny, Richard M. Neve, Joe W. Gray, Connie A. Myers, Ole W. Petersen, Katrin Lorenz, Mary Helen Barcellos‐Hoff, Jeremy R. Semeiks and Paul T. Spellman and has published in prestigious journals such as Analytical Chemistry, Nature Methods and Cancer Research.

In The Last Decade

Genee Y. Lee

9 papers receiving 2.1k citations

Hit Papers

Three-dimensional culture models of normal and malignant ... 2007 2026 2013 2019 2007 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genee Y. Lee United States 7 1.1k 940 762 469 322 9 2.2k
Maria Vinci Italy 17 604 0.6× 894 1.0× 603 0.8× 241 0.5× 295 0.9× 46 2.1k
William Court United Kingdom 16 978 0.9× 940 1.0× 490 0.6× 243 0.5× 480 1.5× 20 2.0k
Evanthia T. Roussos Torres United States 18 1.1k 1.0× 1.1k 1.1× 379 0.5× 513 1.1× 413 1.3× 62 2.4k
Manfred Kubbies Germany 23 797 0.8× 1.2k 1.3× 535 0.7× 304 0.6× 436 1.4× 59 2.6k
Ioannis K. Zervantonakis United States 24 1.1k 1.1× 959 1.0× 1.8k 2.4× 511 1.1× 323 1.0× 56 3.2k
Claudia Dittfeld Germany 12 870 0.8× 587 0.6× 802 1.1× 276 0.6× 303 0.9× 35 1.9k
Lingna Li United States 27 482 0.5× 1.5k 1.6× 566 0.7× 328 0.7× 353 1.1× 80 3.5k
William C. Hines United States 17 927 0.9× 920 1.0× 319 0.4× 442 0.9× 495 1.5× 29 2.0k
Luke Cassereau United States 7 666 0.6× 664 0.7× 602 0.8× 915 2.0× 152 0.5× 8 1.9k
Elizabeth S. Nakasone United States 8 878 0.8× 716 0.8× 376 0.5× 159 0.3× 382 1.2× 15 2.1k

Countries citing papers authored by Genee Y. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Genee Y. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genee Y. Lee

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

All Works

9 of 9 papers shown
1.
Dillon, Michael, Philip D. Compton, William S. Sawyer, et al.. (2023). High-Throughput Analyses of Therapeutic Antibodies Using High-Field Asymmetric Waveform Ion Mobility Spectrometry Combined with SampleStream and Intact Protein Mass Spectrometry. Analytical Chemistry. 95(47). 17263–17272. 2 indexed citations
2.
Zheng, Bing, Shang‐Fan Yu, Geoffrey Del Rosario, et al.. (2018). An Anti–CLL-1 Antibody–Drug Conjugate for the Treatment of Acute Myeloid Leukemia. Clinical Cancer Research. 25(4). 1358–1368. 49 indexed citations
3.
Han, Ju, Hang Chang, Orsi Giricz, et al.. (2015). Text S1 - Molecular Predictors of 3D Morphogenesis by Breast Cancer Cell Lines in 3D Culture. Figshare. 44 indexed citations
4.
Lee, Genee Y., Peter M. Haverty, Li Li, et al.. (2014). Comparative Oncogenomics Identifies PSMB4 and SHMT2 as Potential Cancer Driver Genes. Cancer Research. 74(11). 3114–3126. 125 indexed citations
5.
Kenny, Paraic A., Genee Y. Lee, Connie A. Myers, et al.. (2008). The morphologies of breast cancer cell lines in three-dimensional assays correlate with \ntheir profiles of gene expression. eScholarship (California Digital Library). 809 indexed citations breakdown →
6.
Faddy, Helen M., Chanel E. Smart, Ren Xu, et al.. (2008). Localization of plasma membrane and secretory calcium pumps in the mammary gland. Biochemical and Biophysical Research Communications. 369(3). 977–981. 70 indexed citations
7.
Kenny, Paraic A., Genee Y. Lee, Connie A. Myers, et al.. (2007). The morphologies of breast cancer cell lines in three‐dimensional assays correlate with their profiles of gene expression. Molecular Oncology. 1(1). 84–96. 2 indexed citations
8.
Lee, Genee Y., et al.. (2007). Three-dimensional culture models of normal and malignant breast epithelial cells. Nature Methods. 4(4). 359–365. 1054 indexed citations breakdown →
9.
Lee, Genee Y., et al.. (2006). 3D culture models of normal and malignant breast epithelial cells. University of North Texas Digital Library (University of North Texas). 4. 9 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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