Laura M. Raffield

17.5k citations
79 papers · 1.1k indexed · 1 hit paper · h-index 20

Laura M. Raffield

70 papers receiving 1.0k citations

Hit Papers

Trends in Prevalence of Gout Among US Asian Adults, 2011-...602023202620242025204060

Peers

Laura M. Raffield
Comparison fields: 5 of 104
  • Nephrology 131
  • Health Informatics 15
  • Genetics 208
  • Aging 13
  • Endocrinology, Diabetes and Metabolism 119
Replace Maggie C. Y. Ng with:
Maggie C. Y. Ng United States
Derek Klarin United States
Niek Verweij Netherlands
Christopher P. Nelson United Kingdom
Jessica N. Cooke Bailey United States
Weiguang Zhang China
Karl Smith-Byrne United Kingdom
Linpei Jia China
Yaqin Zhang China
Anna Witasp Sweden
Laura M. Raffield relative to Maggie C. Y. Ng United States Maggie C. Y. Ng's profile →
Citations per field
00.5×6.3×
Maggie C. Y. Ng · 1×
Citations per year

Countries citing papers authored by Laura M. Raffield

Since Specialization
Citations

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

Fields of papers citing papers by Laura M. Raffield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Laura M. Raffield, 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 Laura M. Raffield Line = papers co-authored together Laura M. Raffield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 202411
5 20241
6 20242
7 20231
8 202310
9 202317
10 202219
11 20223
12 20229
13 202110
14 202121
15 20217
16 202014
17 20202
18 202016
19 20184
20 20159

About Laura M. Raffield

Laura M. Raffield is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Nephrology, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (27 papers), Epigenetics and DNA Methylation (12 papers), Cardiovascular Function and Risk Factors (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic and phenotypic traits in livestock (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Nutritional Studies and Diet (5 papers). The work is most often cited by research in Nephrology (131 citations), Health Informatics (15 citations) and Genetics (208 citations). Laura M. Raffield has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Donald W. Bowden, Barry I. Freedman, Amanda J. Cox, Fang‐Chi Hsu, J. Jeffrey Carr, Carl D. Langefeld, Jianzhao Xu, Christina E. Hugenschmidt, Alexander P. Reiner and Alex P. Reiner. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

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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