Angela M. LeDay

24 total papers · 536 total citations
18 papers, 444 citations indexed

About

Angela M. LeDay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Angela M. LeDay has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Biochemistry. Recurrent topics in Angela M. LeDay's work include Neuroscience and Neuropharmacology Research (8 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). Angela M. LeDay is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). Angela M. LeDay collaborates with scholars based in United States and China. Angela M. LeDay's co-authors include Sunny E. Ohia, Catherine A. Opere, Debasis Bagchi, Manashi Bagchi, S.J. Stohs, Violeta Popov, Kenneth M. Johnson, Noelle C. Anastasio, Najam A. Sharif and Ya Fatou Njie‐Mbye and has published in prestigious journals such as Neuroscience, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Experimental Eye Research.

In The Last Decade

Angela M. LeDay

18 papers receiving 425 citations

Author Peers

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

Author Last Decade Papers Cites
Angela M. LeDay 138 102 89 79 75 18 444
Rukhsana Safa 200 1.4× 165 1.6× 29 0.3× 60 0.8× 60 0.8× 11 478
Yasutaka Takagi 221 1.6× 187 1.8× 11 0.1× 73 0.9× 61 0.8× 20 474
Ling-Dan Dong 206 1.5× 105 1.0× 38 0.4× 49 0.6× 155 2.1× 12 459
Sucharita Das 187 1.4× 151 1.5× 13 0.1× 114 1.4× 53 0.7× 30 477
Pallavi Sharma 195 1.4× 98 1.0× 36 0.4× 47 0.6× 88 1.2× 25 472
Sok Park 115 0.8× 24 0.2× 42 0.5× 84 1.1× 70 0.9× 38 445
Gülay Hacıoğlu 113 0.8× 13 0.1× 15 0.2× 118 1.5× 106 1.4× 34 454
Hércules Rezende Freitas 157 1.1× 14 0.1× 20 0.2× 67 0.8× 118 1.6× 27 471
Robert A. Leedle 148 1.1× 15 0.1× 21 0.2× 242 3.1× 51 0.7× 11 451
V Gatto 118 0.9× 24 0.2× 15 0.2× 79 1.0× 26 0.3× 12 445

Countries citing papers authored by Angela M. LeDay

Since Specialization
Citations

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

Fields of papers citing papers by Angela M. LeDay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela M. LeDay

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