Matthew M. La Vail

8 total papers · 751 total citations
6 papers, 630 citations indexed

About

Matthew M. La Vail is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew M. La Vail has authored 6 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Matthew M. La Vail's work include Retinal Development and Disorders (5 papers), Retinoids in leukemia and cellular processes (2 papers) and Retinal Diseases and Treatments (1 paper). Matthew M. La Vail is often cited by papers focused on Retinal Development and Disorders (5 papers), Retinoids in leukemia and cellular processes (2 papers) and Retinal Diseases and Treatments (1 paper). Matthew M. La Vail collaborates with scholars based in United States and Australia. Matthew M. La Vail's co-authors include David Rapaport, Pasko Rakić, Gregg M. Gorrin, Richard L. Sidman, Michael T. Matthes, Thomas Wegmann, N. B. Akhmedov, T. Michael Redmond, Tammy M. Rickabaugh and Susan Gentleman and has published in prestigious journals such as Nature, The Journal of Comparative Neurology and Experimental Eye Research.

In The Last Decade

Matthew M. La Vail

6 papers receiving 615 citations

Author Peers

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

Author						Papers	Cites
Matthew M. La Vail	539	275	211	85	61	6	630
Edward D. Parker	504 0.9×	334 1.2×	191 0.9×	55 0.6×	19 0.3×	13	704
R. Elias	591 1.1×	256 0.9×	269 1.3×	65 0.8×	44 0.7×	10	756
Akina Hoshino	504 0.9×	190 0.7×	112 0.5×	67 0.8×	25 0.4×	13	711
C.B. Watt	599 1.1×	454 1.7×	199 0.9×	46 0.5×	37 0.6×	17	787
Deborah van der List	478 0.9×	348 1.3×	74 0.4×	43 0.5×	36 0.6×	14	654
Yoshiki Ueda	496 0.9×	508 1.8×	58 0.3×	35 0.4×	40 0.7×	13	708
Brigitte Gross Scherf	512 0.9×	296 1.1×	78 0.4×	43 0.5×	22 0.4×	6	660
Bengt Juliusson	525 1.0×	411 1.5×	71 0.3×	30 0.4×	40 0.7×	16	701
Jens Looser	616 1.1×	354 1.3×	162 0.8×	92 1.1×	46 0.8×	5	750
Allen Rodriguez	417 0.8×	234 0.9×	190 0.9×	51 0.6×	90 1.5×	7	557

Countries citing papers authored by Matthew M. La Vail

Since Specialization

Citations

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

Fields of papers citing papers by Matthew M. La Vail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. La Vail. 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 Matthew M. La Vail. The network helps show where Matthew M. La Vail may publish in the future.

Co-authorship network of co-authors of Matthew M. La Vail

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. La Vail. A scholar is included among the top collaborators of Matthew M. La Vail 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 Matthew M. La Vail. Matthew M. La Vail 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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