Laura V. Danai
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 10%
- Physiology top 5%
- Biochemistry top 1%
- Co-authors
- Matthew G. Vander HeidenAlexander MuirAaron M. HosiosCaroline A. LewisDan Y. GuiElizaveta FreinkmanMarc O. JohnsonMatthew L. Steinhauser
- Topics
- Cancer, Hypoxia, and Metabolism (9 papers)Adipose Tissue and Metabolism (7 papers)Metabolism, Diabetes, and Cancer (5 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Laura V. Danai
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.8k
- Cancer Research 1.2k
- Oncology 404
- Physiology 396
- Biochemistry 363
Countries citing papers authored by Laura V. Danai
This map shows the geographic impact of Laura V. Danai'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 Laura V. Danai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura V. Danai more than expected).
Fields of papers citing papers by Laura V. Danai
This network shows the impact of papers produced by Laura V. Danai. 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 Laura V. Danai. The network helps show where Laura V. Danai may publish in the future.
Co-authorship network of co-authors of Laura V. Danai
This figure shows the co-authorship network connecting the top 25 collaborators of Laura V. Danai. A scholar is included among the top collaborators of Laura V. Danai 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 Laura V. Danai. Laura V. Danai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availabilitybreakdown → | 368 |
| 3 | 243 | |
| 4 | 27 | |
| 5 | 87 | |
| 6 | 47 | |
| 7 | mTORC1 Activator SLC38A9 Is Required to Efflux Essential Amino Acids from Lysosomes and Use Protein as a Nutrientbreakdown → | 344 |
| 8 | 227 | |
| 9 | 12 | |
| 10 | Tissue of origin dictates branched-chain amino acid metabolism in mutant Kras-driven cancers | 34 |
| 11 | 33 | |
| 12 | Amino Acids Rather than Glucose Account for the Majority of Cell Mass in Proliferating Mammalian Cellsbreakdown → | 470 |
| 13 | 17 | |
| 14 | 41 | |
| 15 | 119 | |
| 16 | 88 | |
| 17 | 25 | |
| 18 | 116 | |
| 19 | 4 | |
| 20 | 29 |
About Laura V. Danai
Laura V. Danai is a scholar working on Cancer Research, Biochemistry and Physiology, having authored 23 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (9 papers), Adipose Tissue and Metabolism (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Biochemistry (363 citations) and Molecular Biology (1.8k citations). Laura V. Danai has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Matthew G. Vander Heiden, Alexander Muir, Aaron M. Hosios, Caroline A. Lewis, Dan Y. Gui, Elizaveta Freinkman, Marc O. Johnson, Matthew L. Steinhauser, Scott R. Manalis and Vivian Hecht. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.