Sara Hayes

1.8k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Sara Hayes is a scholar working on Pathology and Forensic Medicine, Rehabilitation and Psychiatry and Mental health. According to data from OpenAlex, Sara Hayes has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 15 papers in Rehabilitation and 11 papers in Psychiatry and Mental health. Recurrent topics in Sara Hayes's work include Multiple Sclerosis Research Studies (16 papers), Stroke Rehabilitation and Recovery (15 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). Sara Hayes is often cited by papers focused on Multiple Sclerosis Research Studies (16 papers), Stroke Rehabilitation and Recovery (15 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). Sara Hayes collaborates with scholars based in Ireland, United States and United Kingdom. Sara Hayes's co-authors include David H. Saunders, Gillian Mead, Miriam Brazzelli, Mark Sanderson, Susan Coote, Carolyn Greig, Stephen Gallagher, Robert W. Motl, Bláthín Casey and Hannah Jarvis and has published in prestigious journals such as PLoS ONE, Stroke and Cochrane Database of Systematic Reviews.

In The Last Decade

Sara Hayes

35 papers receiving 1.1k citations

Hit Papers

Physical fitness training for stroke patients 2016 2026 2019 2022 2016 100 200 300

Peers

Sara Hayes
Comparison fields: 5 of 104
  • Rehabilitation 541
  • Psychiatry and Mental health 299
  • Pathology and Forensic Medicine 296
  • Epidemiology 272
  • Physical Therapy, Sports Therapy and Rehabilitation 230
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Citations per field, relative to Sara Hayes
Sara Hayes · 1×
Citations per year, relative to Sara Hayes
Sara Hayes · 1×

Countries citing papers authored by Sara Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Sara Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Hayes. A scholar is included among the top collaborators of Sara Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara Hayes. Sara Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 2
5 4
6 198
7 13
8 4
9 43
10 52
11 29
12 41
13 3
14 33
15 16
16
Chronic Pain in School-aged Children in Ireland: Results From the PRIME-C Study on Prevalence, Impact and Economic Costs
1
17 18
18 26
19 5
20 24

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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