Lee N. Lawton
- Hematology top 5%
- Acute Myeloid Leukemia Research 6
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 5
- Protein Degradation and Inhibitors 4
- Cancer-related gene regulation 3
- Cancer Research top 10%
- Immunology top 10%
- Immune Cell Function and Interaction 4
- Oncology top 10%
- CAR-T cell therapy research 3
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Richard A. YoungMarcelo B. SoaresTakaomi SandaA. Thomas LookAlejandro GutiérrezLong SuArgiris EfstratiadisMaria F. Bonaldo
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Lee N. Lawton
28 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Hematology 354
- Molecular Biology 1.9k
- Cancer Research 300
- Immunology 397
- Oncology 357
Countries citing papers authored by Lee N. Lawton
This map shows the geographic impact of Lee N. Lawton'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 N. Lawton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee N. Lawton more than expected).
Fields of papers citing papers by Lee N. Lawton
This network shows the impact of papers produced by Lee N. Lawton. 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 N. Lawton. The network helps show where Lee N. Lawton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lee N. Lawton, 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 | 2023 | 10 | |
| 2 | 2020 | 88 | |
| 3 | 2019 | 54 | |
| 4 | 2019 | 24 | |
| 5 | 2017 | 2 | |
| 6 | 2017 | 44 | |
| 7 | TRIB2 reinforces the oncogenic transcriptional program controlled by the TAL1 complex in T-cell acute lymphoblastic leukemia | 2015 | 1 |
| 8 | 2015 | 46 | |
| 9 | An oncogenic super-enhancer formed through somatic mutation of a noncoding intergenic elementbreakdown → | 2014 | 538 |
| 10 | 2013 | 104 | |
| 11 | 2012 | 216 | |
| 12 | 2011 | 160 | |
| 13 | 2011 | 231 | |
| 14 | 2008 | 146 | |
| 15 | 2008 | 204 | |
| 16 | 1998 | 21 | |
| 17 | 1997 | 182 | |
| 18 | 1996 | 11 | |
| 19 | 1994 | 19 | |
| 20 | 1994 | 311 |
About Lee N. Lawton
Lee N. Lawton is a scholar working on Hematology, Molecular Biology and Oncology, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers), Immune Cell Function and Interaction (4 papers), Protein Degradation and Inhibitors (4 papers), Lymphoma Diagnosis and Treatment (4 papers), CAR-T cell therapy research (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (354 citations), Molecular Biology (1.9k citations) and Cancer Research (300 citations). Lee N. Lawton has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Richard A. Young, Marcelo B. Soares, Takaomi Sanda, A. Thomas Look, Alejandro Gutiérrez, Long Su, Argiris Efstratiadis, Maria F. Bonaldo, Marc R. Mansour and Adam D. Durbin. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.