Amy M. Lavery

2.5k citations
34 papers · 1.6k indexed · 3 hit papers · h-index 17
Topics
Multiple Sclerosis Research Studies (10 papers)COVID-19 Clinical Research Studies (6 papers)Systemic Lupus Erythematosus Research (4 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentNeurology

In The Last Decade

Amy M. Lavery

33 papers receiving 1.6k citations

Hit Papers

Measuring Community Vulnerability to Natural and Anthropo...2018202620202023201820212021100200300

Peers

Amy M. Lavery
Comparison fields: 5 of 134
  • Infectious Diseases 513
  • Neurology 331
  • General Health Professions 209
  • Health 197
  • Sociology and Political Science 196
Replace Yabin Hu with:
Yabin Hu China
Cria G. Perrine United States
Santiago Pérez‐Hoyos Spain
Ritei Uehara Japan
Daniel Farewell United Kingdom
Siri E. Håberg Norway
Laura C. Myers United States
Graham Law United Kingdom
Alexander G. Mathioudakis United Kingdom
Dirce Maria Trevisan Zanetta Brazil
Amy M. Lavery relative to Yabin Hu China Yabin Hu's profile →
Citations per field
00.5×10×20×33×
Yabin Hu · 1×
Citations per year

Countries citing papers authored by Amy M. Lavery

Since Specialization
Citations

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

Fields of papers citing papers by Amy M. Lavery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy M. Lavery

This figure shows the co-authorship network connecting the top 25 collaborators of Amy M. Lavery. A scholar is included among the top collaborators of Amy M. Lavery 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 Amy M. Lavery. Amy M. Lavery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 16
4 18
5 39
6 108
7
Association Between COVID-19 and Myocarditis Using Hospital-Based Administrative Data — United States, March 2020–January 2021breakdown →
204
8 3
9 7
10 2
11 3
12 31
13 39
14 30
15 11
16 10
17 4
18 17
19 35
20 92

About Amy M. Lavery

Amy M. Lavery is a scholar working on Pathology and Forensic Medicine, Ophthalmology and Neurology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), COVID-19 Clinical Research Studies (6 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Infectious Diseases (513 citations), Health (197 citations) and Neurology (331 citations). Amy M. Lavery has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Barry Flanagan, Elaine Hallisey, Erica Adams, Adi V. Gundlapalli, Tegan K. Boehmer, Lyudmyla Kompaniyets, Jean Y. Ko, Amy Waldman, Jennifer Chevinsky and Alyson B. Goodman. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Neurology.

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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