Lee P. Lim

27.9k total citations · 10 hit papers
47 papers, 21.6k citations indexed

About

Lee P. Lim is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lee P. Lim has authored 47 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cancer Research, 26 papers in Molecular Biology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lee P. Lim's work include MicroRNA in disease regulation (18 papers), Cancer Genomics and Diagnostics (13 papers) and Lung Cancer Treatments and Mutations (13 papers). Lee P. Lim is often cited by papers focused on MicroRNA in disease regulation (18 papers), Cancer Genomics and Diagnostics (13 papers) and Lung Cancer Treatments and Mutations (13 papers). Lee P. Lim collaborates with scholars based in United States, Japan and Ireland. Lee P. Lim's co-authors include David P. Bartel, Nelson C. Lau, Andrew Grimson, Philip W. Garrett-Engele, Christopher B. Burge, Peter S. Linsley, Janell M. Schelter, Kyle Kai‐How Farh, Wendy K. Johnston and Jason M. Johnson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lee P. Lim

47 papers receiving 21.1k citations

Hit Papers

Microarray analysis shows that some microRNAs downregulat... 2001 2026 2009 2017 2005 2007 2001 2007 2002 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee P. Lim United States 27 17.8k 14.2k 2.6k 1.1k 958 47 21.6k
V. Narry Kim South Korea 49 23.0k 1.3× 16.8k 1.2× 2.4k 0.9× 1.9k 1.8× 1.1k 1.2× 92 28.3k
Gunter Meister Germany 65 16.9k 0.9× 9.4k 0.7× 1.9k 0.7× 1.4k 1.3× 844 0.9× 162 20.0k
Scott M. Hammond United States 50 24.3k 1.4× 15.0k 1.1× 2.7k 1.0× 1.8k 1.7× 1.9k 2.0× 72 28.8k
Eric C. Lai United States 71 17.2k 1.0× 10.0k 0.7× 3.4k 1.3× 1.5k 1.5× 1.6k 1.6× 198 21.3k
Witold Filipowicz Switzerland 69 23.8k 1.3× 14.4k 1.0× 3.2k 1.2× 1.9k 1.8× 1.3k 1.3× 162 28.9k
Li Yang China 59 17.5k 1.0× 11.5k 0.8× 1.5k 0.6× 851 0.8× 866 0.9× 252 19.5k
Mihaela Zavolan Switzerland 63 16.5k 0.9× 9.1k 0.6× 1.8k 0.7× 1.2k 1.1× 929 1.0× 141 19.7k
Sakari Kauppinen Denmark 61 14.1k 0.8× 12.2k 0.9× 1.3k 0.5× 1.1k 1.0× 634 0.7× 112 18.7k
Elisa Izaurralde Germany 89 22.9k 1.3× 5.8k 0.4× 1.8k 0.7× 1.4k 1.4× 1.4k 1.4× 163 25.6k
Michael T. McManus United States 67 15.4k 0.9× 8.2k 0.6× 1.7k 0.7× 2.0k 1.9× 2.1k 2.2× 202 20.9k

Countries citing papers authored by Lee P. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Lee P. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee P. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Lee P. Lim. A scholar is included among the top collaborators of Lee P. Lim 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 Lee P. Lim. Lee P. Lim 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.
Hayashi, Daichi, Nor-Eddine Regnard, Vincent Marty, et al.. (2024). Deep learning algorithm enables automated Cobb angle measurements with high accuracy. Skeletal Radiology. 54(7). 1469–1478. 1 indexed citations
2.
Haseltine, J., Michael Offin, Jessica Flynn, et al.. (2022). Tumor volume as a predictor of cell free DNA mutation detection in advanced non-small cell lung cancer. Translational Lung Cancer Research. 11(8). 1578–1590. 4 indexed citations
3.
Lawrence, Marissa, Pablo Martínez, Tristan Shaffer, et al.. (2021). SPACEWALK: A Remote Participation Study of ALK Resistance Leveraging Plasma Cell-Free DNA Genotyping. JTO Clinical and Research Reports. 2(4). 100151–100151. 2 indexed citations
4.
Iams, Wade T., Prasad Kopparapu, Yingjun Yan, et al.. (2020). Blood-Based Surveillance Monitoring of Circulating Tumor DNA From Patients With SCLC Detects Disease Relapse and Predicts Death in Patients With Limited-Stage Disease. JTO Clinical and Research Reports. 1(2). 100024–100024. 16 indexed citations
5.
Iams, Wade T., Catherine B. Meador, Sally J. York, et al.. (2017). Longitudinal monitoring of circulating tumor DNA and peripheral T cell repertoire in patients with small cell lung cancer.. Journal of Clinical Oncology. 35(15_suppl). 8571–8571. 1 indexed citations
6.
Iams, Wade T., Catherine B. Meador, Zhiguo Zhao, et al.. (2017). Longitudinal Cell-Free DNA Analysis in Patients with Small Cell Lung Cancer Reveals Dynamic Insights into Treatment Efficacy and Disease Relapse. Journal of Thoracic Oncology. 13(1). 112–123. 105 indexed citations
7.
Horn, Leora, Heather A. Wakelee, Karen L. Reckamp, et al.. (2017). P3.02a-001 Response and Plasma Genotyping from Phase I/II Trial of Ensartinib (X-396) in Patients (Pts) with ALK+ NSCLC. Journal of Thoracic Oncology. 12(1). S1159–S1159. 5 indexed citations
8.
Horn, Leora, Heather A. Wakelee, Karen L. Reckamp, et al.. (2016). MINI01.02: Response and Plasma Genotyping from Phase I/II Trial of Ensartinib (X-396) in Patients (pts) with ALK+ NSCLC. Journal of Thoracic Oncology. 11(11). S256–S257. 7 indexed citations
9.
Lim, Lee P., Jennifer Hernandez, Tristan Shaffer, et al.. (2016). Utility of a targeted NGS oncology assay for circulating tumor DNA in a multi-histology clinical setting. Annals of Oncology. 27. vi401–vi401. 2 indexed citations
10.
Paweletz, Cloud P., Adrian G. Sacher, Ryan S. Alden, et al.. (2015). Bias-Corrected Targeted Next-Generation Sequencing for Rapid, Multiplexed Detection of Actionable Alterations in Cell-Free DNA from Advanced Lung Cancer Patients. Clinical Cancer Research. 22(4). 915–922. 177 indexed citations
11.
Zhao, Lihong, et al.. (2010). Persistence of seed-based activity following segmentation of a microRNA guide strand. RNA. 16(12). 2336–2340. 7 indexed citations
12.
Qi, Junlin, Jenn‐Yah Yu, Halyna R. Shcherbata, et al.. (2009). microRNAs regulate human embryonic stem cell division. Cell Cycle. 8(22). 3729–3741. 119 indexed citations
13.
Babak, Tomas, Brian DeVeale, Christopher D. Armour, et al.. (2008). Global Survey of Genomic Imprinting by Transcriptome Sequencing. Current Biology. 18(22). 1735–1741. 127 indexed citations
14.
Grimson, Andrew, Kyle Kai‐How Farh, Wendy K. Johnston, et al.. (2007). MicroRNA Targeting Specificity in Mammals: Determinants beyond Seed Pairing. Molecular Cell. 27(1). 91–105. 3011 indexed citations breakdown →
15.
Jackson, Aimee L., Julja Burchard, Janell M. Schelter, et al.. (2006). Widespread siRNA “off-target” transcript silencing mediated by seed region sequence complementarity. RNA. 12(7). 1179–1187. 744 indexed citations breakdown →
16.
Jackson, Aimee L., Julja Burchard, Devin Leake, et al.. (2006). Position-specific chemical modification of siRNAs reduces “off-target” transcript silencing. RNA. 12(7). 1197–1205. 618 indexed citations breakdown →
17.
Farh, Kyle Kai‐How, Andrew Grimson, Benjamin P. Lewis, et al.. (2005). The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution. Science. 310(5755). 1817–1821. 1219 indexed citations breakdown →
18.
Raymond, Christopher K., et al.. (2005). Simple, quantitative primer-extension PCR assay for direct monitoring of microRNAs and short-interfering RNAs. RNA. 11(11). 1737–1744. 370 indexed citations
19.
Ohler, Uwe, Soraya Yekta, Lee P. Lim, David P. Bartel, & Christopher B. Burge. (2004). Patterns of flanking sequence conservation and a characteristic upstream motif for microRNA gene identification. RNA. 10(9). 1309–1322. 145 indexed citations
20.
Lim, Lee P., Nelson C. Lau, Aliaa H. Abdelhakim, et al.. (2003). The microRNAs of Caenorhabditis elegans. Genes & Development. 17(8). 991–1008. 980 indexed citations breakdown →

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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