Laura M. Schultz

31 papers receiving 250 citations

Peers

Laura M. Schultz
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 69
  • Spectroscopy 48
  • Atomic and Molecular Physics, and Optics 77
  • Nuclear and High Energy Physics 27
  • Computational Theory and Mathematics 30
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M. F. Flynn United Kingdom
Junichi Takahashi Japan
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Countries citing papers authored by Laura M. Schultz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Laura M. Schultz Line = papers co-authored together Laura M. Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201046
2 200031
3 202218
4 200916
5 201216
6 202113
7 199713
8 199412
9 20139
10 20239
11 20228
12 20228
13 20108
14 19977
15 20246
16 20225
17
Detecting and correcting noises in the hospital.
19685
18 20124
19 20104
20
Background document to the integrated risk assessment for dioxins and furans from chlorine bleaching in pulp and paper mills
19903

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 31 papers that have together received 259 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (6 papers), Atomic and Subatomic Physics Research (6 papers), Advanced MRI Techniques and Applications (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Genetic Associations and Epidemiology (4 papers) and Health, Environment, Cognitive Aging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (69 citations), Spectroscopy (48 citations), Atomic and Molecular Physics, and Optics (77 citations), Nuclear and High Energy Physics (27 citations) and Computational Theory and Mathematics (30 citations). Laura M. Schultz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include G.G. Lendaris, Gregory A. Clark, Laura Almasy, Michelle Espy, Andrei Matlashov, Igor Savukov, P. L. Volegov, Per E. Magnelind, J. Timothy Petersik and Ran Barzilay. Their work appears in journals such as Human Genetics and Genomics Advances, Biological Psychiatry, IEEE Transactions on Applied Superconductivity, Journal of Magnetic Resonance and Frontiers in Psychiatry.

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.

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