Lisa M. Abbott

17 papers receiving 239 citations

Peers

Lisa M. Abbott
Comparison fields: 5 of 66
  • Health Informatics 7
  • Dermatology 27
  • General Health Professions 68
  • Oncology 73
  • Public Health, Environmental and Occupational Health 67
Replace Alessandra Storino with:
Alessandra Storino United States
Joshua B. Cadwell United States
Milisa Rizer United States
Anders Daniel Andersen Denmark
Saltanat Kyrykbayeva Kazakhstan
Uğur Ekici Türkiye
Jose Azar United States
M. Sage United Kingdom
Julie C. Philp United States
M Lawrence United Kingdom
Lisa M. Abbott relative to Alessandra Storino United States Alessandra Storino's profile →
Citations per field
00.5×2.9×
Alessandra Storino · 1×
Citations per year

Countries citing papers authored by Lisa M. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lisa M. Abbott, 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 Lisa M. Abbott Line = papers co-authored together Lisa M. Abbott links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201872
2 201751
3 201826
4 202019
5 202019
6 200814
7 202214
8 201113
9 20244
10 20204
11 20242
12 20192
13 20252
14 20112
15 20172
16 20182
17 20121
18 20250

About Lisa M. Abbott

Lisa M. Abbott is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Dermatology, Epidemiology and Pathology and Forensic Medicine, having authored 18 papers that have together received 249 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), Digital Imaging in Medicine (5 papers), Nonmelanoma Skin Cancer Studies (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Clinical practice guidelines implementation (2 papers), Skin Protection and Aging (2 papers), AI in cancer detection (2 papers) and Adolescent and Pediatric Healthcare (1 paper). The work is most often cited by research in Health Informatics (7 citations), Dermatology (27 citations), General Health Professions (68 citations), Oncology (73 citations) and Public Health, Environmental and Occupational Health (67 citations). Lisa M. Abbott has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Saxon D. Smith, Roger Magnusson, Emma Gibbs, Daniel Shapiro, Timothy J. Babineau, Amanda M. Pearl, Paul Haidet, H. Peter Soyer, Jan P. Kovacic and Stephen Shumack. Their work appears in journals such as Australasian Journal of Dermatology, Phlebology The Journal of Venous Disease, Journal of Veterinary Emergency and Critical Care, Academic Medicine and The American Journal of Medicine.

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