Lioness Ayres

2.2k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

Lioness Ayres is a scholar working on Sociology and Political Science, General Health Professions and Clinical Psychology. According to data from OpenAlex, Lioness Ayres has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 7 papers in General Health Professions and 6 papers in Clinical Psychology. Recurrent topics in Lioness Ayres's work include Qualitative Research Methods and Ethics (6 papers), Family Support in Illness (5 papers) and Animal Nutrition and Physiology (5 papers). Lioness Ayres is often cited by papers focused on Qualitative Research Methods and Ethics (6 papers), Family Support in Illness (5 papers) and Animal Nutrition and Physiology (5 papers). Lioness Ayres collaborates with scholars based in United States, United Kingdom and Canada. Lioness Ayres's co-authors include Kathleen A. Knafl, Karen Kavanaugh, Bonnie J. Breitmayer, D. Charles Deeming, Suzanne Poirier, Janet K. Williams, Mary Lou Klimek, Janet Specht, Kathleen J.H. Sparbel and Agatha M. Gallo and has published in prestigious journals such as Schizophrenia Bulletin, BMC Health Services Research and Qualitative Health Research.

In The Last Decade

Lioness Ayres

37 papers receiving 1.4k citations

Hit Papers

Within-Case and Across-Case Approaches to Qualitative Dat... 2003 2026 2010 2018 2003 200 400 600

Peers

Lioness Ayres
Comparison fields: 5 of 151
  • Sociology and Political Science 432
  • Clinical Psychology 409
  • General Health Professions 337
  • Public Health, Environmental and Occupational Health 231
  • Pediatrics, Perinatology and Child Health 163
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Citations per field, relative to Lioness Ayres
Lioness Ayres · 1×
Citations per year, relative to Lioness Ayres
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Countries citing papers authored by Lioness Ayres

Since Specialization
Citations

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

Fields of papers citing papers by Lioness Ayres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lioness Ayres

This figure shows the co-authorship network connecting the top 25 collaborators of Lioness Ayres. A scholar is included among the top collaborators of Lioness Ayres 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 Lioness Ayres. Lioness Ayres 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 2
2 11
3 18
4 4
5 46
6 22
7 3
8 1
9 20
10 4
11 72
12 124
13 31
14 22
15 32
16 144
17 49
18 26
19 35
20 2

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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