Janice M. Paterson

2.4k citations
18 papers · 1.9k indexed · h-index 16

Janice M. Paterson

18 papers receiving 1.8k citations

Peers

Janice M. Paterson
Comparison fields: 5 of 104
  • Behavioral Neuroscience 268
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Pharmacology 187
  • Pharmacology 321
  • Biochemistry 113
Replace Alfred O. Mueck with:
Alfred O. Mueck Germany
Richard C. Adelman United States
Tomohisa Hattori Japan
James N. Livingston United States
E Samojlik United States
G N Burrow United States
Lefteris C. Zacharia United States
Ming Guo China
Patrick O’Brien United Kingdom
Paola Mattei Italy
Janice M. Paterson relative to Alfred O. Mueck Germany Alfred O. Mueck's profile →
Citations per field
00.5×6.1×
Alfred O. Mueck · 1×
Citations per year

Countries citing papers authored by Janice M. Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Janice M. Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janice M. Paterson. 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 Janice M. Paterson. The network helps show where Janice M. Paterson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Janice M. Paterson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Janice M. Paterson Line = papers co-authored together Janice M. Paterson links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20174
2 201083
3 200743
4 200641
5 2006145
6 200530
7 2004357
8 2004402
9 2003345
10 200334
11 200329
12 200377
13 200258
14 200297
15 200034
16 199575
17 199036
18 19895

About Janice M. Paterson

Janice M. Paterson is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Organizational Behavior and Human Resource Management, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Apelin-related biomedical research (5 papers), Aldose Reductase and Taurine (4 papers), Job Satisfaction and Organizational Behavior (4 papers), Stress Responses and Cortisol (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Signaling Pathways in Disease (2 papers) and Organizational Downsizing and Restructuring (2 papers). The work is most often cited by research in Behavioral Neuroscience (268 citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Pharmacology (187 citations). Janice M. Paterson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jonathan R. Seckl, John J. Mullins, Megan C. Holmes, Nicholas M. Morton, Catherine Fiévet, Bart Staels, Christopher J. Kenyon, Jeffrey S. Flier, Hiroaki Masuzaki and Brian R. Walker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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