Sharrell Lee

2.3k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Sharrell Lee is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Sharrell Lee has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Sharrell Lee's work include Cancer, Hypoxia, and Metabolism (3 papers), Cancer Cells and Metastasis (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Sharrell Lee is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Cancer Cells and Metastasis (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Sharrell Lee collaborates with scholars based in United States and South Korea. Sharrell Lee's co-authors include Vivek Mittal, Dingcheng Gao, Nasser K. Altorki, Tina El Rayes, Linda T. Vahdat, Hyejin Choi, Kari Fischer, Robert F. Schwabe, Seongho Ryu and Jianting Sheng and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Sharrell Lee

9 papers receiving 1.8k citations

Hit Papers

Epithelial-to-mesenchymal transition is not required for ... 2015 2026 2018 2022 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharrell Lee United States 6 1.1k 994 597 239 204 9 1.8k
Tina El Rayes United States 7 1.0k 0.9× 1.1k 1.1× 648 1.1× 319 1.3× 196 1.0× 7 1.8k
Hyejin Choi United States 11 1.3k 1.2× 1.2k 1.2× 837 1.4× 334 1.4× 238 1.2× 19 2.2k
Anna Durrans United States 5 972 0.9× 940 0.9× 620 1.0× 165 0.7× 189 0.9× 7 1.6k
Kari Fischer United States 5 891 0.8× 945 1.0× 575 1.0× 148 0.6× 192 0.9× 6 1.5k
Adam Kaczorowski Germany 9 1.2k 1.1× 1.4k 1.4× 655 1.1× 163 0.7× 237 1.2× 27 2.1k
Robert J. Norgard United States 13 1.1k 1.0× 1.1k 1.1× 670 1.1× 340 1.4× 199 1.0× 16 2.0k
María Virtudes Céspedes Spain 7 872 0.8× 1.0k 1.0× 410 0.7× 240 1.0× 109 0.5× 9 1.7k
Yoshimi Arima Japan 27 1.2k 1.1× 906 0.9× 396 0.7× 239 1.0× 297 1.5× 46 2.0k
Douglas S. Micalizzi United States 14 1.6k 1.4× 1.2k 1.2× 841 1.4× 145 0.6× 206 1.0× 25 2.4k
Nikolina Radulovich Canada 22 910 0.8× 748 0.8× 415 0.7× 141 0.6× 152 0.7× 36 1.6k

Countries citing papers authored by Sharrell Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sharrell Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharrell Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sharrell Lee. A scholar is included among the top collaborators of Sharrell 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 Sharrell Lee. Sharrell 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.
Gao, Dingcheng, Vivek Mittal, Yi Ban, et al.. (2018). Metastatic tumor cells – genotypes and phenotypes. Frontiers in Biology. 13(4). 277–286. 16 indexed citations
2.
Kornhauser, Naomi, Amy D. Willis, Maureen M. Ward, et al.. (2017). A phase II study of copper-depletion using tetrathiomolybdate (TM) in patients (pts) with breast cancer (BC) at high risk for recurrence: Updated results.. Journal of Clinical Oncology. 35(15_suppl). 2557–2557. 9 indexed citations
4.
Rayes, Tina El, Raúl Catena, Sharrell Lee, et al.. (2015). Lung inflammation promotes metastasis through neutrophil protease-mediated degradation of Tsp-1. Proceedings of the National Academy of Sciences. 112(52). 16000–16005. 168 indexed citations
5.
Fischer, Kari, Anna Durrans, Sharrell Lee, et al.. (2015). Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance. Nature. 527(7579). 472–476. 1395 indexed citations breakdown →
6.
Fischer, Kari, Anna Durrans, Sharrell Lee, et al.. (2015). Abstract 4721: Epithelial to mesenchymal transition is not required for breast to lung metastasis but contributes to chemoresistance. Cancer Research. 75(15_Supplement). 4721–4721. 4 indexed citations
7.
Nackos, Eleni, Naomi Kornhauser, Maureen M. Ward, et al.. (2015). Altering the tumor microenvironment: A phase II study of copper depletion using tetrathiomolybdate (TM) in patients (pts) with breast cancer (BC) at high risk for recurrence.. Journal of Clinical Oncology. 33(15_suppl). 11008–11008. 3 indexed citations
8.
Liu, Liren, Sharrell Lee, Jianxuan Zhang, et al.. (2009). CUL4A Abrogation Augments DNA Damage Response and Protection against Skin Carcinogenesis. Molecular Cell. 34(4). 451–460. 156 indexed citations
9.
Ishíi, Yasuo, et al.. (2007). Induction of proepicardial marker gene expression by the liver bud. Development. 134(20). 3627–3637. 49 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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