Joan Fredericks

612 total citations
17 papers, 271 citations indexed

About

Joan Fredericks is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Joan Fredericks has authored 17 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Surgery. Recurrent topics in Joan Fredericks's work include Diet and metabolism studies (6 papers), Enzyme function and inhibition (3 papers) and Pancreatic function and diabetes (3 papers). Joan Fredericks is often cited by papers focused on Diet and metabolism studies (6 papers), Enzyme function and inhibition (3 papers) and Pancreatic function and diabetes (3 papers). Joan Fredericks collaborates with scholars based in United States, Switzerland and Poland. Joan Fredericks's co-authors include William B. Jakoby, Philip C. Familletti, Frank L. Engel, Pascal Bailon, Cynthia L. Smith, John E. Smart, David V. Weber, Charles W. Lloyd, Timothy E. Albertson and Enrique García López and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Joan Fredericks

17 papers receiving 233 citations

Peers

Joan Fredericks
Comparison fields: 5 of 75
  • Molecular Biology 167
  • Biochemistry 45
  • Physiology 26
  • Plant Science 24
  • Radiology, Nuclear Medicine and Imaging 22
Replace David H. Watson with:
David H. Watson United Kingdom
Thomas S. Seibles United States
W Mejbaum-Katzenellenbogen Poland
Morris A. Cynkin United States
R. Mawal United States
Jacques Delente United States
Kjell Briseid Jensen Norway
Nihmat Morjana United States
M. Sanwal Canada
D.K. Fitzgerald United States
David H. Watson United Kingdom View profile →
Citations per field, relative to Joan Fredericks
Joan Fredericks · 1×
Citations per year, relative to Joan Fredericks
Joan Fredericks · 1×

Countries citing papers authored by Joan Fredericks

Since Specialization
Citations

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

Fields of papers citing papers by Joan Fredericks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Fredericks. 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 Joan Fredericks. The network helps show where Joan Fredericks may publish in the future.

Co-authorship network of co-authors of Joan Fredericks

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 13
2 26
3 31
4 4
5 30
6 3
7 11
8 1
9 100
10
PYRROLIDINE AND PUTERESCINE METABOLISM Y-AMINOBUTYRALDEHYDE DEHYDROGENASE
1
11
Some extra-adrenal actions of corticotropin on carbohydrate metabolism in the rat.
7
12 9
13 5
14 2
15 20
16 4
17 4

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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