Roland James

1.6k citations
9 papers · 814 · 1 hit paper · h-index 8

Impact in

Papers in

Roland James

9 papers receiving 789 citations

Roland James's Hit Papers

Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome 2000 · 528 citations
5280+8+17Years since publication100200300400500

Peers

Roland James
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 151
  • Physiology 364
  • Epidemiology 361
  • Endocrinology, Diabetes and Metabolism 148
  • Cardiology and Cardiovascular Medicine 162
Replace Kerstin Wåhlén with:
Kerstin Wåhlén Sweden
Walter Renn Germany
Atul R. Chopra United States
Jose Jimenez-Chillaron United States
Eva Sjölin Sweden
Stella Dzienis-Straczkowska Poland
LJ Murphy Canada
S. M. Echwald Denmark
Wentong Pan United States
Patrik Löfgren Sweden
Roland James relative to Kerstin Wåhlén Sweden Kerstin Wåhlén's profile →
Citations per field
00.5×1.5×
Kerstin Wåhlén · 1×
Citations per year

Countries citing papers authored by Roland James

Since Specialization
Citations

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

Fields of papers citing papers by Roland James

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome
Hit paper breakdown →
2000528
2 201595
3 200845
4 201844
5 200436
6 201525
7 199617
8 201617
9 19917

About Roland James

Roland James is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Pharmacology and Physiology, having authored 9 papers that have together received 814 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetic Associations and Epidemiology (2 papers), Cardiovascular Disease and Adiposity (2 papers), Adipose Tissue and Metabolism (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Diet, Metabolism, and Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (151 citations), Physiology (364 citations), Epidemiology (361 citations), Endocrinology, Diabetes and Metabolism (148 citations) and Cardiology and Cardiovascular Medicine (162 citations). Roland James has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ahmed H. Kissebah, Joel B. Myklebust, John Blangero, Glenn R. Krakower, Anthony G. Comuzzie, Lisa J. Martin, Gabriele E. Sonnenberg, Karl W. Broman, Howard J. Jacob and Michael R. Goldstein. Their work appears in journals such as Clinical Epigenetics, JAMA Otolaryngology–Head & Neck Surgery, Pharmacogenomics, Hypertension and Proceedings of the National Academy of Sciences.

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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