Ruth E. Farmer

32 papers receiving 1.5k citations

Peers

Ruth E. Farmer
Comparison fields: 5 of 100
  • Geriatrics and Gerontology 89
  • Cellular and Molecular Neuroscience 323
  • Endocrinology, Diabetes and Metabolism 140
  • Anesthesiology and Pain Medicine 53
  • Neurology 51
Replace Francesco Resta with:
Francesco Resta Italy
Patricia Sheehan United States
Ari Ahola‐Olli Finland
Lindsay A. Zilliox United States
Abirami Veluchamy United Kingdom
Patrice Verpillat France
Janneke G. Langendonk Netherlands
Sergio Federico Robbiati Italy
Morten Charles Denmark
Ayako Takahashi Japan
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Citations per field
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Francesco Resta · 1×
Citations per year

Countries citing papers authored by Ruth E. Farmer

Since Specialization
Citations

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

Fields of papers citing papers by Ruth E. Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth E. Farmer. 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 Ruth E. Farmer. The network helps show where Ruth E. Farmer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015251
2 2014151
3 2017126
4 2012124
5 2019108
6 201898
7 201787
8 202052
9 201651
10 201749
11 201447
12 202141
13 201937
14 201235
15 201632
16 201531
17 201528
18 201825
19 202025
20 202024

About Ruth E. Farmer

Ruth E. Farmer is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Statistics and Probability and Molecular Biology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (10 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes Treatment and Management (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced Causal Inference Techniques (2 papers), Heart Failure Treatment and Management (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (89 citations), Cellular and Molecular Neuroscience (323 citations), Endocrinology, Diabetes and Metabolism (140 citations), Anesthesiology and Pain Medicine (53 citations) and Neurology (51 citations). Ruth E. Farmer has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Liam L Smeeth, Krishnan Bhaskaran, Nishi Chaturvedi, Harriet J. Forbes, Rohini Mathur, Sophie V. Eastwood, Sara L. Thomas, Tim C. Clayton, Sinéad Langan and Sarah J. Tabrizi. Their work appears in journals such as International Journal of Epidemiology, Diabetologia, PLoS ONE, Journal of Clinical Investigation and BMJ.

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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