Madeline Farron

11 papers receiving 299 citations

Peers

Madeline Farron
Comparison fields: 5 of 75
  • Neuropsychology and Physiological Psychology 11
  • Health 56
  • Psychiatry and Mental health 91
  • Geriatrics and Gerontology 21
  • Pediatrics, Perinatology and Child Health 94
Replace Arunika Agarwal with:
Arunika Agarwal United States
Melissa Harris United States
Yemin Yuan China
Lena J. Lee United States
Zhengyue Jing China
Catherine Lamoureux‐Lamarche Canada
Miriam Mutambudzi United States
Patricia Olaya‐Contreras Sweden
Laura Wilkinson‐Meyers New Zealand
Vahe Kehyayan Qatar
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Citations per field
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Arunika Agarwal · 1×
Citations per year

Countries citing papers authored by Madeline Farron

Since Specialization
Citations

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

Fields of papers citing papers by Madeline Farron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019118
2 202147
3 201835
4 201731
5 202022
6 201921
7 202210
8 20198
9 20228
10 20186
11 20241

About Madeline Farron

Madeline Farron is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, General Health Professions and Geriatrics and Gerontology, having authored 11 papers that have together received 307 indexed citations. Recurring topics across this work include Global Maternal and Child Health (5 papers), Dementia and Cognitive Impairment Research (4 papers), Blood Pressure and Hypertension Studies (2 papers), Frailty in Older Adults (2 papers), Demographic Trends and Gender Preferences (2 papers), Pharmaceutical Economics and Policy (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (11 citations), Health (56 citations), Psychiatry and Mental health (91 citations), Geriatrics and Gerontology (21 citations) and Pediatrics, Perinatology and Child Health (94 citations). Madeline Farron has collaborated with scholars based in United States, Switzerland and Pakistan. Frequent co-authors include Moazzam Ali, Kenneth M. Langa, Deborah A. Levine, David R. Weir, Lindsay H. Ryan, Richard N. Jones, Ryan J. McCammon, Amanda Sonnega, Jennifer J. Manly and Judith Smith. Their work appears in journals such as Journal of the American Geriatrics Society, The European Journal of Contraception & Reproductive Health Care, Global Public Health, Journal of Multidisciplinary Healthcare and Global Health Science and Practice.

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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