L.T. Smith
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer, Hypoxia, and Metabolism 2
- Cancer Genomics and Diagnostics 1
- Genetics 3
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Ping Mao (2 shared papers)Maode Wang (2 shared papers)Uma Chandran (1 shared paper)Ichiro Nakano (1 shared paper)Panayiotis V. Benos (1 shared paper)Kaushal Joshi (1 shared paper)Peipei Li (1 shared paper)Bo Hu (1 shared paper)
- Journals
- Separation Science and Technology (2 papers)Bioanalysis (1 paper)Frontiers in Public Health (1 paper)Clinical Epigenetics (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
L.T. Smith
23 papers receiving 1.0k citations
L.T. Smith's Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 281
- Genetics 196
- Oncology 209
- Molecular Biology 449
- Hematology 64
Countries citing papers authored by L.T. Smith
This map shows the geographic impact of L.T. Smith'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 L.T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.T. Smith more than expected).
Fields of papers citing papers by L.T. Smith
This network shows the impact of papers produced by L.T. Smith. 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 L.T. Smith. The network helps show where L.T. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside L.T. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mesenchymal glioma stem cells are maintained by activated glycolytic metabolism involving aldehyde dehydrogenase 1A3 Hit paper breakdown → | 2013 | 549 |
| 2 | 1996 | 123 | |
| 3 | 2007 | 93 | |
| 4 | 2005 | 50 | |
| 5 | 2013 | 32 | |
| 6 | 2006 | 31 | |
| 7 | 2023 | 26 | |
| 8 | 2010 | 21 | |
| 9 | 1984 | 18 | |
| 10 | 2012 | 17 | |
| 11 | 2013 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 1979 | 10 | |
| 14 | 2008 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2001 | 2 | |
| 20 | Modeling of Pilot-Scale Salt-cake Dissolution | 2006 | 2 |
About L.T. Smith
L.T. Smith is a scholar working on Cancer Research, Genetics, Internal Medicine, Developmental Neuroscience and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Genomics and Diagnostics (1 paper), CAR-T cell therapy research (1 paper), Nuclear Materials and Properties (1 paper), Prenatal Screening and Diagnostics (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Cancer Research (281 citations), Genetics (196 citations), Oncology (209 citations), Molecular Biology (449 citations) and Hematology (64 citations). L.T. Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ping Mao, Maode Wang, Uma Chandran, Ichiro Nakano, Panayiotis V. Benos, Kaushal Joshi, Peipei Li, Bo Hu, Lucas Santana‐Santos and Soumya Luthra. Their work appears in journals such as Separation Science and Technology, Bioanalysis, Frontiers in Public Health, Clinical Epigenetics and Neuroscience.
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.