Lee P. Lim
- Cancer Research top 0.01%
- MicroRNA in disease regulation 18
- Cancer Genomics and Diagnostics 13
- Cancer-related molecular mechanisms research 6
- Molecular Biology top 0.1%
- RNA modifications and cancer 9
- RNA Research and Splicing 8
- RNA Interference and Gene Delivery 6
- Aging top 0.5%
- Plant Science top 0.5%
- Immunology top 2%
-
- Lung Cancer Treatments and Mutations 13
-
- Lung Cancer Research Studies 6
- Co-authors
- David P. BartelNelson C. LauAndrew GrimsonPhilip W. Garrett-EngeleChristopher B. BurgePeter S. LinsleyJanell M. SchelterKyle Kai‐How Farh
- Journals
- RNA (6 papers)Journal of Thoracic Oncology (4 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesJapanIreland
In The Last Decade
Lee P. Lim
47 papers receiving 21.1k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cancer Research 14.2k
- Molecular Biology 17.8k
- Aging 374
- Plant Science 2.6k
- Immunology 1.1k
Countries citing papers authored by Lee P. Lim
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
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
The 25 scholars most cited alongside Lee P. Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 60 | |
| 7 | 2016 | 7 | |
| 8 | 2016 | 2 | |
| 9 | 2016 | 4 | |
| 10 | 2015 | 177 | |
| 11 | 2012 | 40 | |
| 12 | 2010 | 7 | |
| 13 | 2010 | 165 | |
| 14 | 2008 | 127 | |
| 15 | A microRNA component of the p53 tumour suppressor networkbreakdown → | 2007 | 2177 |
| 16 | Widespread siRNA “off-target” transcript silencing mediated by seed region sequence complementaritybreakdown → | 2006 | 744 |
| 17 | The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolutionbreakdown → | 2005 | 1219 |
| 18 | 2005 | 370 | |
| 19 | 2004 | 145 | |
| 20 | The microRNAs of Caenorhabditis elegansbreakdown → | 2003 | 980 |
About Lee P. Lim
Lee P. Lim is a scholar working on Cancer Research, Aging and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 21.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Cancer Genomics and Diagnostics (13 papers), Lung Cancer Treatments and Mutations (13 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (8 papers), RNA Interference and Gene Delivery (6 papers), Lung Cancer Research Studies (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (14.2k citations), Molecular Biology (17.8k citations) and Aging (374 citations). Lee P. Lim has collaborated with scholars based in United States, Japan and Ireland. Frequent 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. Their work appears in journals such as RNA, Journal of Thoracic Oncology, Journal of Clinical Oncology, Science and Molecular and Cellular Biology.
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.