Catherine Y. Campbell

1.6k citations
17 papers · 365 indexed · h-index 10
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Lipoproteins and Cardiovascular Health (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
Partner nations
United StatesBrazil

In The Last Decade

Catherine Y. Campbell

17 papers receiving 354 citations

Peers

Catherine Y. Campbell
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 169
  • Epidemiology 92
  • Surgery 89
  • Endocrinology, Diabetes and Metabolism 71
  • Nephrology 44
Replace Serkan Öztürk with:
Serkan Öztürk Türkiye
Yamilée Hurtado-Roca Peru
Tomasz Zapolski Poland
Oscar Hou In Chou Hong Kong
Ying‐Chang Tung Taiwan
Bente Krogsgaard Schaadt Denmark
Eli V. Gelfand United States
Ahmet Ekmekçi Türkiye
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Catherine Y. Campbell relative to Serkan Öztürk Türkiye Serkan Öztürk's profile →
Citations per field
00.5×3.4×
Serkan Öztürk · 1×
Citations per year

Countries citing papers authored by Catherine Y. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Y. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine Y. Campbell. 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 Catherine Y. Campbell. The network helps show where Catherine Y. Campbell may publish in the future.

Co-authorship network of co-authors of Catherine Y. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Y. Campbell. A scholar is included among the top collaborators of Catherine Y. Campbell 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 Catherine Y. Campbell. Catherine Y. Campbell 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
#WorkIndexed citations
1 8
2 41
3 22
4 42
5 3
6 4
7 120
8 20
9 20
10 12
11 4
12 4
13 1
14 12
15 12
16 34
17
The New Zealand economy : measurement of economic fluctuations and indicators of economic activity, 1947-74
6

About Catherine Y. Campbell

Catherine Y. Campbell is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (169 citations), Nephrology (44 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Catherine Y. Campbell has collaborated with scholars based in United States and Brazil. Frequent co-authors include Roger S. Blumenthal, Nowreen Haq, Ty J. Gluckman, Daniel J. Brotman, William Clarke, Haeseong Park, Michael H. Davidson, Samia Mora, Brian G. Kral and Richard A. Lange. Their work appears in journals such as The American Journal of Cardiology, Journal of General Internal Medicine and Veterinary Record.

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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