Lauren LaCount
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Pharmacology top 5%
- Physiology top 10%
- Complementary and alternative medicine top 5%
- Co-authors
- Vitaly NapadowKyungmo ParkRichard E. HarrisSawsan As‐SanieDaniel J. ClauwJieun KimMark VangelRupali P. Dhond
- Topics
- Acupuncture Treatment Research Studies (4 papers)Psychosomatic Disorders and Their Treatments (3 papers)Pain Management and Placebo Effect (2 papers)
- Journals
- NeuroImageJournal of Visualized ExperimentsArthritis & Rheumatism
- Partner nations
- United StatesSouth Korea
In The Last Decade
Lauren LaCount
8 papers receiving 645 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 321
- Psychiatry and Mental health 301
- Pharmacology 247
- Physiology 216
- Complementary and alternative medicine 122
Countries citing papers authored by Lauren LaCount
This map shows the geographic impact of Lauren LaCount'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 Lauren LaCount with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren LaCount more than expected).
Fields of papers citing papers by Lauren LaCount
This network shows the impact of papers produced by Lauren LaCount. 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 Lauren LaCount. The network helps show where Lauren LaCount may publish in the future.
Co-authorship network of co-authors of Lauren LaCount
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren LaCount. A scholar is included among the top collaborators of Lauren LaCount 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 Lauren LaCount. Lauren LaCount is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Static and Dynamic Autonomic Response with Increasing Nausea Perception | 21 |
| 3 | 26 | |
| 4 | Intrinsic brain connectivity in fibromyalgia is associated with chronic pain intensitybreakdown → | 505 |
| 5 | 1 | |
| 6 | 93 | |
| 7 | 1 | |
| 8 | 1 |
About Lauren LaCount
Lauren LaCount is a scholar working on Complementary and alternative medicine, Psychiatry and Mental health and Human-Computer Interaction, having authored 8 papers that have together received 650 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (4 papers), Psychosomatic Disorders and Their Treatments (3 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Psychiatry and Mental health (301 citations), Cognitive Neuroscience (321 citations) and Complementary and alternative medicine (122 citations). Lauren LaCount has collaborated with scholars based in United States and South Korea. Frequent co-authors include Vitaly Napadow, Kyungmo Park, Richard E. Harris, Sawsan As‐Sanie, Daniel J. Clauw, Jieun Kim, Mark Vangel, Rupali P. Dhond, Norman W. Kettner and Ovidiu Marina. Their work appears in journals such as NeuroImage, Journal of Visualized Experiments and Arthritis & Rheumatism.
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.