Kate Petersen Shay

1.5k citations
12 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Genomics, phytochemicals, and oxidative stress (5 papers)Biochemical Acid Research Studies (5 papers)Vitamin C and Antioxidants Research (4 papers)
Partner nations
United States

In The Last Decade

Kate Petersen Shay

12 papers receiving 1.2k citations

Hit Papers

Alpha-lipoic acid as a dietary supplement: Molecular mech...20092026201420202009250500750

Peers

Kate Petersen Shay
Comparison fields: 5 of 98
  • Biochemistry 753
  • Molecular Biology 529
  • Neurology 258
  • Physiology 199
  • Nutrition and Dietetics 121
Replace Swapna V. Shenvi with:
Swapna V. Shenvi United States
Beata Skibska Poland
Klaus Wessel Germany
Gerreke Ph. Biewenga Netherlands
Bangalore R. Shivakumar United States
Henna-Kaisa Jyrkkänen Finland
Giulia Tozzi Italy
Chiaki Isobe Japan
María E. Solesio United States
Kate Petersen Shay relative to Swapna V. Shenvi United States Swapna V. Shenvi's profile →
Citations per field
00.5×
Swapna V. Shenvi · 1×
Citations per year

Countries citing papers authored by Kate Petersen Shay

Since Specialization
Citations

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

Fields of papers citing papers by Kate Petersen Shay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Petersen Shay. 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 Kate Petersen Shay. The network helps show where Kate Petersen Shay may publish in the future.

Co-authorship network of co-authors of Kate Petersen Shay

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 14
3 17
4 44
5 84
6 37
7 4
8
Alpha-lipoic acid as a dietary supplement: Molecular mechanisms and therapeutic potentialbreakdown →
779
9 37
10 146
11 9
12 86

About Kate Petersen Shay

Kate Petersen Shay is a scholar working on Aging, Biochemistry and Biological Psychiatry, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (5 papers), Biochemical Acid Research Studies (5 papers) and Vitamin C and Antioxidants Research (4 papers). The work is most often cited by research in Biochemistry (753 citations), Biological Psychiatry (102 citations) and Neurology (258 citations). Kate Petersen Shay has collaborated with scholars based in United States. Frequent co-authors include Tory M. Hagen, Eric Smith, Régis Moreau, Anthony R. Smith, Alexander J. Michels, Ah‐Ng Tony Kong, Pei‐Xiang Xing, Wenge Li, Ian F. C. McKenzie and Zeping Wang. Their work appears in journals such as Free Radical Biology and Medicine, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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