Scott Gerum
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 3
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- David N. Guilfoyle (11 shared papers)Daniel C. Javitt (2 shared papers)Donald A. Wilson (4 shared papers)Gary Linn (1 shared paper)Matthew J. Hoptman (2 shared papers)Heather Collins (1 shared paper)Ali Tabesh (1 shared paper)Jens H. Jensen (1 shared paper)
- Journals
- NMR in Biomedicine (2 papers)Translational Psychiatry (2 papers)Journal of Molecular Neuroscience (1 paper)Alcohol (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesPolandChina
In The Last Decade
Scott Gerum
12 papers receiving 424 citations
Peers
Comparison fields: 5 of 63
- Behavioral Neuroscience 53
- Biological Psychiatry 19
- Cellular and Molecular Neuroscience 105
- Cognitive Neuroscience 109
- Radiology, Nuclear Medicine and Imaging 116
Countries citing papers authored by Scott Gerum
This map shows the geographic impact of Scott Gerum'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 Scott Gerum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Gerum more than expected).
Fields of papers citing papers by Scott Gerum
This network shows the impact of papers produced by Scott Gerum. 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 Scott Gerum. The network helps show where Scott Gerum may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Gerum, 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 | 2014 | 76 | |
| 2 | 2017 | 76 | |
| 3 | 2003 | 67 | |
| 4 | 2015 | 57 | |
| 5 | 2014 | 52 | |
| 6 | 2013 | 45 | |
| 7 | 2011 | 25 | |
| 8 | 2016 | 19 | |
| 9 | 2016 | 9 | |
| 10 | 2011 | 8 | |
| 11 | Diffusional kurtosis imaging detects age-related grey matter changes in the normal mouse brain | 2012 | 3 |
| 12 | 2014 | 1 |
About Scott Gerum
Scott Gerum is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Child Abuse and Trauma (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Behavioral Neuroscience (53 citations), Biological Psychiatry (19 citations), Cellular and Molecular Neuroscience (105 citations), Cognitive Neuroscience (109 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Scott Gerum has collaborated with scholars based in United States, Poland and China. Frequent co-authors include David N. Guilfoyle, Daniel C. Javitt, Donald A. Wilson, Gary Linn, Matthew J. Hoptman, Heather Collins, Ali Tabesh, Jens H. Jensen, Maria F. Falangola and Xingju Nie. Their work appears in journals such as NMR in Biomedicine, Translational Psychiatry, Journal of Molecular Neuroscience, Alcohol and Journal of Neuroscience.
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.