Lené Levy‐Storms

41 papers receiving 2.0k citations

Peers

Lené Levy‐Storms
Comparison fields: 5 of 119
  • General Health Professions 994
  • Health 273
  • Neuropsychology and Physiological Psychology 48
  • Behavioral Neuroscience 70
  • Demography 204
Replace Kimberly A. Skarupski with:
Kimberly A. Skarupski United States
R H Moos United States
Terry C. Camacho United States
Sara Ronzi United Kingdom
Satvinder S. Dhingra United States
Carla Maria Perissinotto United States
Kam Weng Boey Hong Kong
Esther M. Friedman United States
Joan Faith Epstein United States
Steven A. Haas United States
Lené Levy‐Storms relative to Kimberly A. Skarupski United States Kimberly A. Skarupski's profile →
Citations per field
00.5×2×3×4.4×
Kimberly A. Skarupski · 1×
Citations per year

Countries citing papers authored by Lené Levy‐Storms

Since Specialization
Citations

This map shows the geographic impact of Lené Levy‐Storms'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 Lené Levy‐Storms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lené Levy‐Storms more than expected).

Fields of papers citing papers by Lené Levy‐Storms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lené Levy‐Storms. 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 Lené Levy‐Storms. The network helps show where Lené Levy‐Storms may publish in the future.

Co-authors

The 25 scholars most cited alongside Lené Levy‐Storms, 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 Lené Levy‐Storms Line = papers co-authored together Lené Levy‐Storms links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002413
2 1999201
3 1998181
4 1998171
5 2016104
6 200391
7 200088
8 201771
9 200271
10 200466
11 200361
12 200357
13 200855
14 200755
15 199550
16 200445
17 200443
18 200434
19 200234
20 200428

About Lené Levy‐Storms

Lené Levy‐Storms is a scholar working on General Health Professions, Health, Radiological and Ultrasound Technology, Demography and Transportation, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (15 papers), Health disparities and outcomes (6 papers), Dementia and Cognitive Impairment Research (4 papers), Intergenerational Family Dynamics and Caregiving (4 papers), Urban Transport and Accessibility (3 papers), Family and Patient Care in Intensive Care Units (3 papers), Palliative Care and End-of-Life Issues (3 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in General Health Professions (994 citations), Health (273 citations), Neuropsychology and Physiological Psychology (48 citations), Behavioral Neuroscience (70 citations) and Demography (204 citations). Lené Levy‐Storms has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Carol S. Aneshensel, Dawn M. Upchurch, Steven P. Wallace, Carol Diane Ryff, Gayle Dienberg Love, Burton H. Singer, Teresa E. Seeman, Anastasia Loukaitou‐Sideris, John F. Schnelle and Raynard S. Kington. Their work appears in journals such as Journal of the American Geriatrics Society, The Gerontologist, The Journals of Gerontology Series B, Journal of Applied Gerontology and Aging & Mental Health.

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.

Explore authors with similar magnitude of impact