Patricia Seo-Mayer
- Molecular Biology
- Genetics top 10%
- Nephrology top 5%
- Pathology and Forensic Medicine top 10%
- Surgery
- Co-authors
- Michael J. CaplanLi ZhangJennifer KingAnil KarihalooStefan SomloHui LiVinita TakiarKenneth R. Hallows
- Topics
- Innovations in Medical Education (4 papers)Diversity and Career in Medicine (3 papers)Pancreatic function and diabetes (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Society of NephrologyJournal of Bone and Mineral Research
- Partner nations
- United StatesJapanUkraine
In The Last Decade
Patricia Seo-Mayer
20 papers receiving 632 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 310
- Genetics 224
- Nephrology 139
- Pathology and Forensic Medicine 130
- Surgery 102
Countries citing papers authored by Patricia Seo-Mayer
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
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
| # | 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 |
About Patricia Seo-Mayer
Patricia Seo-Mayer is a scholar working on Nephrology, Transplantation and Gender Studies, having authored 21 papers that have together received 641 indexed citations. Recurring topics across this work include Innovations in Medical Education (4 papers), Diversity and Career in Medicine (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Nephrology (139 citations), Genetics (224 citations) and Pathology and Forensic Medicine (130 citations). Patricia Seo-Mayer has collaborated with scholars based in United States, Japan and Ukraine. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Society of Nephrology and Journal of Bone and Mineral Research.
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.