Sian Moore

45 papers receiving 471 citations

Peers

Sian Moore
Comparison fields: 5 of 67
  • Public Administration 220
  • General Health Professions 269
  • Gender Studies 62
  • Demography 71
  • Sociology and Political Science 255
Replace Gabriella Alberti with:
Gabriella Alberti United Kingdom
Hanne Marlene Dahl Denmark
Arjan Keizer United Kingdom
Trine Pernille Larsen Denmark
Brigid van Wanrooy Australia
Hazel Conley United Kingdom
Eve E. Garrow United States
Peter Raeymaeckers Belgium
Eskil Wadensjö Sweden
Thomas Bredgaard Denmark
Sian Moore relative to Gabriella Alberti United Kingdom Gabriella Alberti's profile →
Citations per field
00.5×1.6×
Gabriella Alberti · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200984
2 201861
3 201438
4 201637
5 201033
6 201730
7 200620
8 201818
9 201815
10 201513
11 201012
12 201411
13 20119
14
New Trade Union Activism: Class Consciousness or Social Identity?
20109
15 20128
16 20078
17 20137
18 20087
19 20226
20 20036

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 48 papers that have together received 512 indexed citations. Recurring topics across this work include Labor Movements and Unions (31 papers), Employment and Welfare Studies (20 papers), Social Policy and Reform Studies (12 papers), Digital Economy and Work Transformation (9 papers), International Labor and Employment Law (4 papers), Political and Economic history of UK and US (3 papers), Organizational Downsizing and Restructuring (2 papers) and Occupational Health and Safety Research (2 papers). The work is most often cited by research in Public Administration (220 citations), General Health Professions (269 citations), Gender Studies (62 citations), Demography (71 citations) and Sociology and Political Science (255 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, Jason Heyes, Mark Tomlinson, Hazel Conley, Stephen Wood and Steve Jefferys. Their work appears in journals such as Work Employment and Society, Industrial Law Journal, Transfer European Review of Labour and Research, Employee Relations 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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