Kayla Moore

438 citations
21 papers · 249 · h-index 8

Impact in

Papers in

Kayla Moore

19 papers receiving 248 citations

Peers

Kayla Moore
Comparison fields: 5 of 45
  • Pulmonary and Respiratory Medicine 76
  • Surgery 73
  • Health Information Management 8
  • Cardiology and Cardiovascular Medicine 17
  • Health Informatics 1
Replace Marnie M. Wetzstein with:
Marnie M. Wetzstein United States
Jairo Lins Borges Brazil
Nicola Cillara Italy
Tim Wheatley United Kingdom
Aminder Singh United Kingdom
Xiaoning Lu United States
David Gerrard United Kingdom
Michiel L. Bots Netherlands
Edgardo Serra Argentina
Nora Fuentes Argentina
Kayla Moore relative to Marnie M. Wetzstein United States Marnie M. Wetzstein's profile →
Citations per field
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Marnie M. Wetzstein · 1×
Citations per year

Countries citing papers authored by Kayla Moore

Since Specialization
Citations

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

Fields of papers citing papers by Kayla Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kayla Moore. 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 Kayla Moore. The network helps show where Kayla Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 201846
3 202231
4 202224
5 202219
6 201914
7 202312
8 202011
9 20217
10 20245
11 20225
12 20195
13 20225
14 20244
15 20244
16 20222
17 20222
18 20241
19 20251
20 20251

About Kayla Moore

Kayla Moore is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine, Health Information Management and Infectious Diseases, having authored 21 papers that have together received 249 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (6 papers), Peripheral Artery Disease Management (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Medical Coding and Health Information (2 papers), COVID-19 Clinical Research Studies (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Health Literacy and Information Accessibility (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (76 citations), Surgery (73 citations), Health Information Management (8 citations), Cardiology and Cardiovascular Medicine (17 citations) and Health Informatics (1 citation). Kayla Moore has collaborated with scholars based in United States and Thailand. Frequent co-authors include Philip P. Goodney, Jesse A. Columbo, Art Sedrakyan, Niveditta Ramkumar, Andrea M. Austin, Jialin Mao, Salvatore T. Scali, Andrew W. Hoel, Spencer W. Trooboff and Benjamin S. Brooke. Their work appears in journals such as Journal of Vascular Surgery, Circulation Cardiovascular Quality and Outcomes, Annals of Vascular Surgery, Journal of Surgical Research and BMC Medical Research Methodology.

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.

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