Gianfranco Giuntoli

21 papers receiving 356 citations

Peers

Gianfranco Giuntoli
Comparison fields: 5 of 58
  • Health 194
  • General Health Professions 139
  • Sociology and Political Science 131
  • Clinical Psychology 74
  • Social Psychology 73
Replace Shradha Vasan with:
Shradha Vasan Australia
Brendan Stevenson New Zealand
Claryn S. J. Kung Australia
Huei‐Wern Shen United States
Heather R. Fuller-Iglesias United States
Kathy Lee United States
Kimberly J. Stoeckel Israel
Lorena Gallardo-Peralta Chile
Joohong Min United States
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Citations per field
00.5×6.6×
Shradha Vasan · 1×
Citations per year

Countries citing papers authored by Gianfranco Giuntoli

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Giuntoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianfranco Giuntoli

This figure shows the co-authorship network connecting the top 25 collaborators of Gianfranco Giuntoli. A scholar is included among the top collaborators of Gianfranco Giuntoli 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 Gianfranco Giuntoli. Gianfranco Giuntoli 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
#WorkIndexed citations
1 2
2 2
3 1
4 3
5 0
6 2
7 7
8 1
9 4
10 17
11 7
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13 15
14
Going for 'the full monty'? Unemployment and mental wellbeing during times of recession.
4
15 244
16
Mental health, resilience and the recession in Bradford
6
17
The impact of involuntary unemployment on mental well-being at a time of economic recession and the role of community interventions to strengthen people's resilience
2
18 23
19
The needs of frail older people with sight loss
4
20
Care and support for older people and carers in Bradford : Their perspectives, aspirations and experiences
7

About Gianfranco Giuntoli

Gianfranco Giuntoli is a scholar working on Health, Neuropsychology and Physiological Psychology and Public Administration, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Health disparities and outcomes (8 papers), Employment and Welfare Studies (4 papers) and Healthcare innovation and challenges (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (35 citations), Health (194 citations) and General Health Professions (139 citations). Gianfranco Giuntoli has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Mima Cattan, Fredrica Nyqvist, Anna K. Forsman, Jane South, Karina Kinsella, Kate Karban, Karen Fisher, Jim McKenna, Jonathan Long and David Carless. Their work appears in journals such as Aging & Mental Health, Health & Social Care in the Community and Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine.

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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