Patsy Coskeran

511 citations
11 papers · 439 · h-index 10

Impact in

Papers in

Patsy Coskeran

11 papers receiving 410 citations

Peers

Patsy Coskeran
Comparison fields: 5 of 58
  • Behavioral Neuroscience 37
  • Psychiatry and Mental health 117
  • Genetics 171
  • Endocrinology, Diabetes and Metabolism 65
  • Endocrine and Autonomic Systems 21
Replace David R. Rubinow with:
David R. Rubinow United States
Elizabeth A. Lovejoy United Kingdom
Filippo Ninni Italy
Anne Pisanté Israel
Eileen Claffey Ireland
Guadalberto Hernández Spain
Kensuke Utsunomiya Japan
Jean-Jacques Legros Belgium
Valeria Valentino Italy
Ferid Fathalli Canada
Patsy Coskeran relative to David R. Rubinow United States David R. Rubinow's profile →
Citations per field
00.5×2×3×3.9×
David R. Rubinow · 1×
Citations per year

Countries citing papers authored by Patsy Coskeran

Since Specialization
Citations

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

Fields of papers citing papers by Patsy Coskeran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Measurement of excessive appetite and metabolic changes in Prader-Willi syndrome.
1993109
2 199589
3 199583
4 199736
5 199532
6 199923
7 201220
8 199116
9 200116
10 199013
11
Management and treatment of patients with acromegaly.
19992

About Patsy Coskeran

Patsy Coskeran is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Genetics and Behavioral Neuroscience, having authored 11 papers that have together received 439 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Genetic Syndromes and Imprinting (2 papers), Cancer Treatment and Pharmacology (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Behavioral Neuroscience (37 citations), Psychiatry and Mental health (117 citations), Genetics (171 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Endocrine and Autonomic Systems (21 citations). Patsy Coskeran has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Janet L. Treasure, Anthony John Holland, E. W. Hillhouse, Nathaniel G.N. Milton, Joan Butler, Simon C. Wessely, Philip S. Barnett, Jenny Bearn, Theresa J. Allain and Alan M. McGregor. Their work appears in journals such as Biological Psychiatry, Clinical Endocrinology, Endocrine Connections, Journal of Intellectual Disability Research and QJM.

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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