Daniel J. Lavery

32 papers and 1.2k indexed citations i.

About

Daniel J. Lavery is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Hardware and Architecture. According to data from OpenAlex, Daniel J. Lavery has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Hardware and Architecture. Recurrent topics in Daniel J. Lavery’s work include Parallel Computing and Optimization Techniques (8 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Daniel J. Lavery is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Daniel J. Lavery collaborates with scholars based in United States, Switzerland and Germany. Daniel J. Lavery's co-authors include Ueli Schibler, Selina Chen‐Kiang, Serge Charpak, Étienne Audinat, Fabienne Fleury-Olela, Luis Lopez‐Molina, Raphaël Margueron, François Conquet, Claude Bonfils and Jochen F. Staiger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Lavery i

Fields of papers citing papers by Daniel J. Lavery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel J. Lavery

Since Specialization
Citations

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

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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