Linda L. Paxton

16 papers and 645 indexed citations i.

About

Linda L. Paxton is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Linda L. Paxton has authored 16 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 6 papers in Nutrition and Dietetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Linda L. Paxton’s work include Prenatal Substance Exposure Effects (9 papers), Neonatal and fetal brain pathology (7 papers) and Fatty Acid Research and Health (6 papers). Linda L. Paxton is often cited by papers focused on Prenatal Substance Exposure Effects (9 papers), Neonatal and fetal brain pathology (7 papers) and Fatty Acid Research and Health (6 papers). Linda L. Paxton collaborates with scholars based in United States, Canada and South Sudan. Linda L. Paxton's co-authors include Daniel D. Savage, Susan A. Queen, Kathryn L. Farr, Andrea M. Allan, H. Wu, Charles R. Goodlett, James R. West, Jolonda C. Mahoney, Stephen D. Shafran and C. Robert Horsburgh and has published in prestigious journals such as The Journal of Cell Biology, Clinical Infectious Diseases and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Co-authorship network of co-authors of Linda L. Paxton i

Fields of papers citing papers by Linda L. Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda L. Paxton

Since Specialization
Citations

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