J. Paterson

1.9k citations
7 papers · 1.5k · 1 hit paper · h-index 5

Impact in

Papers in

J. Paterson

6 papers receiving 1.5k citations

J. Paterson's Hit Papers

A Transgenic Model of Visceral Obesity and the Metabolic Syndrome 2001 · 1.4k citations
1.4k0+8+16Years since publication4008001.2k

Peers

J. Paterson
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 899
  • Behavioral Neuroscience 137
  • Endocrine and Autonomic Systems 134
  • Physiology 451
  • Pharmacology 143
Replace Ruth Best with:
Ruth Best United Kingdom
Richard H. Underwood United States
C. J. P. Giroud Canada
Varuni Obeyesekere Australia
Anne W. Thorburn Australia
Lois M. Zucker United States
Laxmi Srivastava United States
G. S. Kledzik United States
V. Large France
A. A. Connacher United Kingdom
J. Paterson relative to Ruth Best United Kingdom Ruth Best's profile →
Citations per field
00.5×2.8×
Ruth Best · 1×
Citations per year

Countries citing papers authored by J. Paterson

Since Specialization
Citations

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

Fields of papers citing papers by J. Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside J. 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 J. Paterson Line = papers co-authored together J. Paterson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
A Transgenic Model of Visceral Obesity and the Metabolic Syndrome
Hit paper breakdown →
20011418
2 200572
3 196110
4 19639
5 19568
6
Reduced intra-adipose glucocorticoid regeneration: A novel adaptive response to, and therapy for, the metabolic syndrome
20032
7
The prevalence and type of chronic obstructive bronchopulmonary disease in very old people.
19661

About J. Paterson

J. Paterson is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Cell Biology, Pharmacology and Pathology and Forensic Medicine, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (3 papers), Aldose Reductase and Taurine (2 papers), Viral Infections and Immunology Research (1 paper), Stress Responses and Cortisol (1 paper), Adipose Tissue and Metabolism (1 paper), Tracheal and airway disorders (1 paper), Pericarditis and Cardiac Tamponade (1 paper) and Tumors and Oncological Cases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (899 citations), Behavioral Neuroscience (137 citations), Endocrine and Autonomic Systems (134 citations), Physiology (451 citations) and Pharmacology (143 citations). J. Paterson has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Jonathan R. Seckl, John J. Mullins, Nicholas M. Morton, Jeffrey S. Flier, Hiroshi Shinyama, Hiroaki Masuzaki, Ian R. Whittle, Karen L. French, Megan C. Holmes and Douglas R. Wilson. Their work appears in journals such as Circulation, Neuroscience, Science, Diseases of the Chest and Biochemical Journal.

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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