Patricia Seo-Mayer

1.1k total citations
21 papers, 641 citations indexed

About

Patricia Seo-Mayer is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Patricia Seo-Mayer has authored 21 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 5 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Patricia Seo-Mayer's work include Innovations in Medical Education (4 papers), Diversity and Career in Medicine (3 papers) and Pancreatic function and diabetes (3 papers). Patricia Seo-Mayer is often cited by papers focused on Innovations in Medical Education (4 papers), Diversity and Career in Medicine (3 papers) and Pancreatic function and diabetes (3 papers). Patricia Seo-Mayer collaborates with scholars based in United States, Japan and Ukraine. Patricia Seo-Mayer's co-authors include Michael J. Caplan, Li Zhang, Jennifer King, Anil Karihaloo, Stefan Somlo, Hui Li, Vinita Takiar, Kenneth R. Hallows, Saori Nishio and Daiane S. Alves and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Society of Nephrology and Journal of Bone and Mineral Research.

In The Last Decade

Patricia Seo-Mayer

20 papers receiving 632 citations

Peers

Patricia Seo-Mayer
Comparison fields: 5 of 77
  • Molecular Biology 310
  • Genetics 224
  • Nephrology 139
  • Pathology and Forensic Medicine 130
  • Surgery 102
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Citations per field, relative to Patricia Seo-Mayer
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Citations per year, relative to Patricia Seo-Mayer
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Countries citing papers authored by Patricia Seo-Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Seo-Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia Seo-Mayer. 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 Patricia Seo-Mayer. The network helps show where Patricia Seo-Mayer may publish in the future.

Co-authorship network of co-authors of Patricia Seo-Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Seo-Mayer. A scholar is included among the top collaborators of Patricia Seo-Mayer 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 Patricia Seo-Mayer. Patricia Seo-Mayer 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 4
2 1
3 3
4 3
5 5
6
Focus on Subspecialties: Children at risk for chronic kidney disease benefit from targeted screening
0
7 2
8 25
9 36
10 1
11 25
12 59
13 87
14 261
15 35
16 3
17 15
18 14
19 29
20 14

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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