Gina LaRossa
- Physiology top 1%
- Psychiatry and Mental health top 0.5%
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Co-authors
- Chester A. MathisMark A. MintunWilliam E. KlunkJohn C. MorrisYvette I. ShelineRobert H. MachCarmen S. DenceSteven T. DeKosky
- Topics
- Diabetes and associated disorders (3 papers)Alzheimer's disease research and treatments (3 papers)Dementia and Cognitive Impairment Research (3 papers)
- Partner nations
- United StatesBulgariaIreland
In The Last Decade
Gina LaRossa
8 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Physiology 2.0k
- Psychiatry and Mental health 1.8k
- Cognitive Neuroscience 1.6k
- Radiology, Nuclear Medicine and Imaging 786
- Molecular Biology 409
Countries citing papers authored by Gina LaRossa
This map shows the geographic impact of Gina LaRossa'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 Gina LaRossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina LaRossa more than expected).
Fields of papers citing papers by Gina LaRossa
This network shows the impact of papers produced by Gina LaRossa. 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 Gina LaRossa. The network helps show where Gina LaRossa may publish in the future.
Co-authorship network of co-authors of Gina LaRossa
This figure shows the co-authorship network connecting the top 25 collaborators of Gina LaRossa. A scholar is included among the top collaborators of Gina LaRossa 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 Gina LaRossa. Gina LaRossa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 71 | |
| 5 | 62 | |
| 6 | The Washington Manual Internship Survival Guide | 1 |
| 7 | [ 11 C]PIB in a nondemented populationbreakdown → | 833 |
| 8 | Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memorybreakdown → | 1641 |
| 9 | Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ 42 in humansbreakdown → | 960 |
| 10 | 30 |
About Gina LaRossa
Gina LaRossa is a scholar working on Psychiatry and Mental health, Geriatrics and Gerontology and Emergency Medicine, having authored 10 papers that have together received 3.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Alzheimer's disease research and treatments (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Psychiatry and Mental health (1.8k citations), Cognitive Neuroscience (1.6k citations) and Physiology (2.0k citations). Gina LaRossa has collaborated with scholars based in United States, Bulgaria and Ireland. Frequent co-authors include Chester A. Mathis, Mark A. Mintun, William E. Klunk, John C. Morris, Yvette I. Sheline, Robert H. Mach, Carmen S. Dence, Steven T. DeKosky, Randy L. Buckner and Anthony F. Fotenos. Their work appears in journals such as Journal of Neuroscience, Neurology and Cancer Research.
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.