Laura Sanders
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Oncology top 5%
- Physiology top 5%
- Immunology top 5%
- Co-authors
- Daniel NathansAnthony A. LanahanLester F. LauTimothy S. SchaeferWalter E. KaufmannPaul WorleyGregory L. LyfordCarol A. Barnes
- Topics
- Nuclear Receptors and Signaling (5 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)Cancer-related gene regulation (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Laura Sanders
14 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 799
- Oncology 515
- Physiology 505
- Immunology 450
Countries citing papers authored by Laura Sanders
This map shows the geographic impact of Laura Sanders'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 Sanders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Sanders more than expected).
Fields of papers citing papers by Laura Sanders
This network shows the impact of papers produced by Laura Sanders. 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 Sanders. The network helps show where Laura Sanders may publish in the future.
Co-authorship network of co-authors of Laura Sanders
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Sanders. A scholar is included among the top collaborators of Laura Sanders 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 Sanders. Laura Sanders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 22 | |
| 3 | 275 | |
| 4 | Thiazolidinediones promote the differentiation of human brown preadipocytes in vitro. | 1 |
| 5 | 426 | |
| 6 | 132 | |
| 7 | Arc, a growth factor and activity-regulated gene, encodes a novel cytoskeleton-associated protein that is enriched in neuronal dendritesbreakdown → | 1009 |
| 8 | 315 | |
| 9 | 42 | |
| 10 | 264 | |
| 11 | 317 | |
| 12 | 269 | |
| 13 | 90 | |
| 14 | 39 |
About Laura Sanders
Laura Sanders is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Rheumatology, having authored 14 papers that have together received 3.2k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (799 citations), Developmental Neuroscience (158 citations) and Molecular Biology (1.8k citations). Laura Sanders has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel Nathans, Anthony A. Lanahan, Lester F. Lau, Timothy S. Schaefer, Walter E. Kaufmann, Paul Worley, Gregory L. Lyford, Carol A. Barnes, Kanato Yamagata and Debra J. Gilbert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.
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.