Laura M. Schultz
Impact in
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- Advanced MRI Techniques and Applications
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- Advanced NMR Techniques and Applications
Papers in
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- Memory and Neural Mechanisms 4
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- Atomic and Subatomic Physics Research 6
- Co-authors
- G.G. Lendaris (1 shared paper)Michelle Espy (5 shared papers)Gregory A. Clark (3 shared papers)Laura Almasy (13 shared papers)Andrei Matlashov (5 shared papers)P. L. Volegov (5 shared papers)Per E. Magnelind (4 shared papers)J. Timothy Petersik (1 shared paper)
- Journals
- Human Genetics and Genomics Advances (2 papers)Biological Psychiatry (2 papers)IEEE Transactions on Applied Superconductivity (2 papers)Psychometrika (1 paper)Neurobiology of Learning and Memory (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Laura M. Schultz
31 papers receiving 271 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 69
- Spectroscopy 51
- Atomic and Molecular Physics, and Optics 80
- Nuclear and High Energy Physics 26
- Cognitive Neuroscience 37
Countries citing papers authored by Laura M. Schultz
This map shows the geographic impact of Laura M. Schultz'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 M. Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura M. Schultz more than expected).
Fields of papers citing papers by Laura M. Schultz
This network shows the impact of papers produced by Laura M. Schultz. 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 M. Schultz. The network helps show where Laura M. Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura M. Schultz, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 51 | |
| 2 | 2000 | 34 | |
| 3 | 2022 | 18 | |
| 4 | 2012 | 18 | |
| 5 | 2009 | 17 | |
| 6 | 1994 | 14 | |
| 7 | 1997 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2010 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 1997 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2012 | 5 | |
| 18 | Detecting and correcting noises in the hospital. | 1968 | 5 |
| 19 | 2010 | 4 | |
| 20 | 2024 | 3 |
About Laura M. Schultz
Laura M. Schultz is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Genetics, Spectroscopy and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 280 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (6 papers), Advanced NMR Techniques and Applications (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Advanced MRI Techniques and Applications (5 papers), Memory and Neural Mechanisms (4 papers), Genetic Associations and Epidemiology (4 papers), Radiation Detection and Scintillator Technologies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (69 citations), Spectroscopy (51 citations), Atomic and Molecular Physics, and Optics (80 citations), Nuclear and High Energy Physics (26 citations) and Cognitive Neuroscience (37 citations). Laura M. Schultz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include G.G. Lendaris, Michelle Espy, Gregory A. Clark, Laura Almasy, Andrei Matlashov, P. L. Volegov, Per E. Magnelind, J. Timothy Petersik, Igor Savukov and Ran Barzilay. Their work appears in journals such as Human Genetics and Genomics Advances, Biological Psychiatry, IEEE Transactions on Applied Superconductivity, Psychometrika and Neurobiology of Learning and Memory.
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.