Mary C. Ritter

1.1k total citations
31 papers, 961 citations indexed

About

Mary C. Ritter is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Mary C. Ritter has authored 31 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Surgery and 12 papers in Molecular Biology. Recurrent topics in Mary C. Ritter's work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Cholesterol and Lipid Metabolism (10 papers) and Cancer, Lipids, and Metabolism (7 papers). Mary C. Ritter is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Cholesterol and Lipid Metabolism (10 papers) and Cancer, Lipids, and Metabolism (7 papers). Mary C. Ritter collaborates with scholars based in United States, Austria and United Kingdom. Mary C. Ritter's co-authors include John D. Bagdade, Mary E. Dempsey, Papasani V. Subbaiah, Robert H. Eckel, A M Scanu, Angelo M. Scanu, F. L. Dunn, Frank Ungar, David Kaufman and Michael H. Davidson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mary C. Ritter

30 papers receiving 918 citations

Peers

Mary C. Ritter
Comparison fields: 5 of 67
  • Surgery 429
  • Endocrinology, Diabetes and Metabolism 401
  • Molecular Biology 353
  • Cancer Research 132
  • Biochemistry 119
Replace C H Chen with:
C H Chen United States
T M Forte United States
M R McCall United States
T Nishida Japan
Suzanna E. Dana United States
Jayraz Luchoomun United States
Karen A. Kieft United States
Teizo Sata Japan
Barbara A. Hynd United States
Bette C. Sherrill United States
C H Chen United States View profile →
Citations per field, relative to Mary C. Ritter
Mary C. Ritter · 1×
Citations per year, relative to Mary C. Ritter
Mary C. Ritter · 1×

Countries citing papers authored by Mary C. Ritter

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. Ritter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. Ritter. 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 Mary C. Ritter. The network helps show where Mary C. Ritter may publish in the future.

Co-authorship network of co-authors of Mary C. Ritter

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Ritter. A scholar is included among the top collaborators of Mary C. Ritter 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 Mary C. Ritter. Mary C. Ritter 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 20
2 38
3 19
4 11
5 4
6 30
7 53
8 0
9 50
10 22
11 101
12 94
13 28
14 26
15 15
16
Apolipoprotein A-II and structure of human serum high density lipoproteins
3
17 28
18 44
19 108
20 15

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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