Daniel Lightell
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- Extracellular vesicles in disease
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Circular RNAs in diseases 4
- PI3K/AKT/mTOR signaling in cancer 2
- Surgery 5
- Pancreatic function and diabetes 1
- Co-authors
- T. Cooper Woods (12 shared papers)Hernan A. Bazán (3 shared papers)Patrick E. Parrino (1 shared paper)Michael Bates (1 shared paper)Steven O. Marx (1 shared paper)Andrew R. Marks (1 shared paper)Heng Yu (1 shared paper)John T. Paige (1 shared paper)
- Journals
- Endocrinology (1 paper)Journal of Cardiovascular Pharmacology (1 paper)Regenerative Medicine (1 paper)Journal of Biological Chemistry (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Daniel Lightell
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 219
- Molecular Biology 281
- Cardiology and Cardiovascular Medicine 67
- Immunology 56
- Rehabilitation 11
Countries citing papers authored by Daniel Lightell
This map shows the geographic impact of Daniel Lightell'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 Daniel Lightell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lightell more than expected).
Fields of papers citing papers by Daniel Lightell
This network shows the impact of papers produced by Daniel Lightell. 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 Daniel Lightell. The network helps show where Daniel Lightell may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel Lightell, 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 | 2017 | 91 | |
| 2 | 2015 | 65 | |
| 3 | 2013 | 64 | |
| 4 | 2010 | 50 | |
| 5 | 2010 | 31 | |
| 6 | 2017 | 30 | |
| 7 | 2019 | 22 | |
| 8 | 2023 | 18 | |
| 9 | Relative resistance to Mammalian target of rapamycin inhibition in vascular smooth muscle cells of diabetic donors. | 2013 | 18 |
| 10 | 2012 | 11 | |
| 11 | 2014 | 3 | |
| 12 | 2009 | 1 |
About Daniel Lightell
Daniel Lightell is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Cancer Research and Oncology, having authored 12 papers that have together received 404 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related Molecular Pathways (2 papers), Cardiovascular Disease and Adiposity (2 papers), Cancer-related molecular mechanisms research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (219 citations), Molecular Biology (281 citations), Cardiology and Cardiovascular Medicine (67 citations), Immunology (56 citations) and Rehabilitation (11 citations). Daniel Lightell has collaborated with scholars based in United States and Italy. Frequent co-authors include T. Cooper Woods, Hernan A. Bazán, Patrick E. Parrino, Michael Bates, Steven O. Marx, Andrew R. Marks, Heng Yu, John T. Paige, Michael Kremer and Damir B. Khismatullin. Their work appears in journals such as Endocrinology, Journal of Cardiovascular Pharmacology, Regenerative Medicine, Journal of Biological Chemistry and Arteriosclerosis Thrombosis and Vascular 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.