Amy M. Lavery

48 total papers · 2.5k total citations
34 papers, 1.6k citations indexed

About

Amy M. Lavery is a scholar working on Pathology and Forensic Medicine, Neurology and Infectious Diseases. According to data from OpenAlex, Amy M. Lavery has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 7 papers in Neurology and 6 papers in Infectious Diseases. Recurrent topics in Amy M. Lavery's work include Multiple Sclerosis Research Studies (10 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (4 papers). Amy M. Lavery is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (4 papers). Amy M. Lavery collaborates with scholars based in United States, Canada and Denmark. Amy M. Lavery's co-authors include Elaine Hallisey, Barry Flanagan, Erica Adams, Adi V. Gundlapalli, Tegan K. Boehmer, Lyudmyla Kompaniyets, Jean Y. Ko, Amy Waldman, Alyson B. Goodman and Jennifer Chevinsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Neurology.

In The Last Decade

Amy M. Lavery

33 papers receiving 1.5k citations

Hit Papers

Measuring Community Vulne... 2018 2026 2020 2023 2018 2021 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amy M. Lavery 509 330 207 195 194 34 1.6k
Daniel Fort 616 1.2× 224 0.7× 290 1.4× 172 0.9× 93 0.5× 45 1.6k
Annie Herbert 241 0.5× 107 0.3× 209 1.0× 143 0.7× 69 0.4× 48 2.2k
Shirley Sze 474 0.9× 157 0.5× 184 0.9× 202 1.0× 67 0.3× 58 1.8k
Huifen Li 422 0.8× 232 0.7× 163 0.8× 104 0.5× 33 0.2× 57 2.0k
Peng Bai 945 1.9× 496 1.5× 89 0.4× 67 0.3× 48 0.2× 52 2.1k
Katherine Mackey 369 0.7× 145 0.4× 246 1.2× 170 0.9× 109 0.6× 36 1.5k
Ellen O. Boundy 746 1.5× 328 1.0× 243 1.2× 134 0.7× 86 0.4× 19 2.3k
Kate Webb 633 1.2× 251 0.8× 87 0.4× 78 0.4× 42 0.2× 52 1.4k
Anna E. Ssentongo 792 1.6× 684 2.1× 102 0.5× 174 0.9× 51 0.3× 42 1.8k
Vahé Nafilyan 824 1.6× 758 2.3× 212 1.0× 327 1.7× 111 0.6× 65 1.8k

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

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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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