Danielle L. Lavery

486 total citations
13 papers, 363 citations indexed

About

Danielle L. Lavery is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Danielle L. Lavery has authored 13 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Danielle L. Lavery's work include Developmental Biology and Gene Regulation (5 papers), Esophageal Cancer Research and Treatment (4 papers) and Esophageal and GI Pathology (3 papers). Danielle L. Lavery is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Esophageal Cancer Research and Treatment (4 papers) and Esophageal and GI Pathology (3 papers). Danielle L. Lavery collaborates with scholars based in United Kingdom, Netherlands and United States. Danielle L. Lavery's co-authors include Stefan Hoppler, Nicholas A. Wright, Marnix Jansen, Stuart A.C. McDonald, Trevor A. Graham, Marco Novelli, Manuel Rodriguez‐Justo, Laura J. Gay, Grant N. Wheeler and Maurizia Mello‐Grand and has published in prestigious journals such as The EMBO Journal, Development and Cancer Research.

In The Last Decade

Danielle L. Lavery

12 papers receiving 358 citations

Peers

Danielle L. Lavery
Comparison fields: 5 of 50
  • Molecular Biology 197
  • Surgery 164
  • Pulmonary and Respiratory Medicine 82
  • Oncology 65
  • Cancer Research 52
Replace Elo Madissoon with:
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Yuki Ueda Japan
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Timothy G. Bowler United States
Marie‐Pier Tétreault United States
Danielle M. Pastor United States
Chuan-jie Hao China
Elo Madissoon Finland View profile →
Citations per field, relative to Danielle L. Lavery
Danielle L. Lavery · 1×
Citations per year, relative to Danielle L. Lavery
Danielle L. Lavery · 1×

Countries citing papers authored by Danielle L. Lavery

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Lavery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle L. Lavery

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 2
3 30
4 62
5 63
6 24
7 31
8 76
9 21
10 9
11 35
12 4
13 6

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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2026