Margaret L. Smith

972 total citations
31 papers, 584 citations indexed

About

Margaret L. Smith is a scholar working on Pediatrics, Perinatology and Child Health, Biochemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Margaret L. Smith has authored 31 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pediatrics, Perinatology and Child Health, 16 papers in Biochemistry and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Margaret L. Smith's work include Amino Acid Enzymes and Metabolism (16 papers), Neonatal Health and Biochemistry (15 papers) and Biomedical Research and Pathophysiology (15 papers). Margaret L. Smith is often cited by papers focused on Amino Acid Enzymes and Metabolism (16 papers), Neonatal Health and Biochemistry (15 papers) and Biomedical Research and Pathophysiology (15 papers). Margaret L. Smith collaborates with scholars based in United States and United Kingdom. Margaret L. Smith's co-authors include Jerry A. Schneider, Adam J. Jonas, John M. Buchanan, SA Spencer, R. Potashnik, Stanley A. Mendoza, W S Allison, Paul K. Laikind, William A. Gahl and D. Hull and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Margaret L. Smith

30 papers receiving 546 citations

Peers

Margaret L. Smith
Comparison fields: 5 of 91
  • Pathology and Forensic Medicine 327
  • Pediatrics, Perinatology and Child Health 313
  • Biochemistry 261
  • Molecular Biology 103
  • Pulmonary and Respiratory Medicine 80
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Citations per field, relative to Margaret L. Smith
Margaret L. Smith · 1×
Citations per year, relative to Margaret L. Smith
Margaret L. Smith · 1×

Countries citing papers authored by Margaret L. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Margaret L. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret L. Smith

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 8
5 19
6 24
7 9
8 2
9 4
10 27
11 14
12 17
13 8
14 8
15 13
16 129
17 17
18 21
19 10
20
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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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