Sian Moore

49 papers receiving 538 citations

Peers

Sian Moore
Comparison fields: 5 of 72
  • Public Administration 249
  • General Health Professions 300
  • Gender Studies 71
  • Sociology and Political Science 297
  • Demography 76
Replace Hanne Marlene Dahl with:
Hanne Marlene Dahl Denmark
Gabriella Alberti United Kingdom
Arjan Keizer United Kingdom
Karin Gottschall Germany
Hazel Conley United Kingdom
Eskil Wadensjö Sweden
Trine Pernille Larsen Denmark
Michael White United Kingdom
Victoria Wass United Kingdom
Lefteris Kretsos United Kingdom
Sian Moore relative to Hanne Marlene Dahl Denmark Hanne Marlene Dahl's profile →
Citations per field
00.5×3.6×
Hanne Marlene Dahl · 1×
Citations per year

Countries citing papers authored by Sian Moore

Since Specialization
Citations

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

Fields of papers citing papers by Sian Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200996
2 201871
3 201658
4 201442
5 201035
6 201732
7 200620
8 201819
9 201816
10 201716
11 201014
12 201513
13
New Trade Union Activism: Class Consciousness or Social Identity?
201012
14 201412
15 201211
16 201110
17 200410
18 20078
19 20087
20 20137

About Sian Moore

Sian Moore is a scholar working on Public Administration, General Health Professions, Political Science and International Relations, Sociology and Political Science and Economics and Econometrics, having authored 56 papers that have together received 606 indexed citations. Recurring topics across this work include Labor Movements and Unions (36 papers), Employment and Welfare Studies (21 papers), Social Policy and Reform Studies (13 papers), Digital Economy and Work Transformation (9 papers), International Labor and Employment Law (5 papers), Political and Economic history of UK and US (3 papers), Organizational Downsizing and Restructuring (2 papers) and Retirement, Disability, and Employment (2 papers). The work is most often cited by research in Public Administration (249 citations), General Health Professions (300 citations), Gender Studies (71 citations), Sociology and Political Science (297 citations) and Demography (76 citations). Sian Moore has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Kirsty Newsome, Phil Taylor, Stephanie Tailby, Tessa Wright, Sonia McKay, Mark Tomlinson, Jason Heyes, Hazel Conley, Steve Jefferys and Keith Ewing. Their work appears in journals such as Work Employment and Society, Industrial Law Journal, Employee Relations, Transfer European Review of Labour and Research and New Technology Work and Employment.

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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