Kay M. Eberman

12 papers receiving 560 citations

Peers

Kay M. Eberman
Comparison fields: 5 of 54
  • Applied Psychology 97
  • Physiology 447
  • Epidemiology 131
  • Speech and Hearing 25
  • Public Health, Environmental and Occupational Health 67
Replace Kimber Paschall Richter with:
Kimber Paschall Richter United States
Emma Passalacqua United States
Wendy Bjornson United States
J Hazelton United States
Victoria R. Green United States
Jae Cooper Australia
Aleksandras Radzius United States
Genevieve C. Vullo United States
Elena Gomes de Matos Germany
Haneen Abudayyeh United States
Kay M. Eberman relative to Kimber Paschall Richter United States Kimber Paschall Richter's profile →
Citations per field
00.5×2.8×
Kimber Paschall Richter · 1×
Citations per year

Countries citing papers authored by Kay M. Eberman

Since Specialization
Citations

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

Fields of papers citing papers by Kay M. Eberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay M. Eberman. 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 Kay M. Eberman. The network helps show where Kay M. Eberman may publish in the future.

Co-authors

The 17 scholars most cited alongside Kay M. Eberman, 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 Kay M. Eberman Line = papers co-authored together Kay M. Eberman links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994170
2 2002143
3 199547
4 199242
5 199241
6 200138
7 200427
8 200125
9 200522
10 199212
11 20089
12 19988

About Kay M. Eberman

Kay M. Eberman is a scholar working on Physiology, Applied Psychology, Molecular Biology, Clinical Psychology and Speech and Hearing, having authored 12 papers that have together received 584 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (12 papers), Behavioral Health and Interventions (5 papers), Obesity, Physical Activity, Diet (2 papers), Eating Disorders and Behaviors (2 papers), School Health and Nursing Education (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Alcohol Consumption and Health Effects (1 paper) and Health disparities and outcomes (1 paper). The work is most often cited by research in Applied Psychology (97 citations), Physiology (447 citations), Epidemiology (131 citations), Speech and Hearing (25 citations) and Public Health, Environmental and Occupational Health (67 citations). Kay M. Eberman has collaborated with scholars based in United States and Vietnam. Frequent co-authors include R. Douglas Hurt, Kenneth P. Offord, Ivana T. Croghan, Barbara K. Bruce, Christi A. Patten, Darrell R. Schroeder, R. Morse, Jennifer A. Ferguson, Leo J. Davis and Lowell C. Dale. Their work appears in journals such as Mayo Clinic Proceedings, European Journal of Public Health, Journal of General Internal Medicine, Medical Clinics of North America and Journal of Substance Abuse Treatment.

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