Susanna Maltoni

985 citations
21 papers · 635 indexed · 1 hit paper · h-index 9

Susanna Maltoni

20 papers receiving 617 citations

Hit Papers

A qualitative systematic review of studies using the norm...277201420262018202250100150200250

Peers

Susanna Maltoni
Comparison fields: 5 of 116
  • General Health Professions 210
  • Endocrinology, Diabetes and Metabolism 107
  • Health Information Management 21
  • Emergency Medical Services 28
  • Geriatrics and Gerontology 14
Replace Mahasti Alizadeh with:
Mahasti Alizadeh Iran
Kelvin Lam Canada
Patricia McGuire United States
Joan McDowell United Kingdom
Elvan Daniels United States
Abdulrahman Katabi United States
Anna Furniss United States
Selina Casalino Canada
Hyun Joo Kim South Korea
Nora Gimpel United States
Susanna Maltoni relative to Mahasti Alizadeh Iran Mahasti Alizadeh's profile →
Citations per field
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Mahasti Alizadeh · 1×
Citations per year

Countries citing papers authored by Susanna Maltoni

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Maltoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20234
4 20231
5 202214
6 202217
7 20201
8 201810
9 20172
10 2016115
11 201562
12
A qualitative systematic review of studies using the normalization process theory to research implementation processesbreakdown →
2014277
13 201234
14
HTA report: new devices for the management of glycaemia in young diabetics
20121
15 20073
16 20045
17 20038
18 20038
19 200270
20 20021

About Susanna Maltoni

Susanna Maltoni is a scholar working on Modeling and Simulation, Parasitology and Geriatrics and Gerontology, having authored 21 papers that have together received 635 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (4 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Research on Leishmaniasis Studies (2 papers), Estrogen and related hormone effects (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in General Health Professions (210 citations), Endocrinology, Diabetes and Metabolism (107 citations) and Health Information Management (21 citations). Susanna Maltoni has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Luciana Ballini, Catherine O’Donnell, Rachel McEvoy, Frances S Mair, Anne MacFarlane, Maria Chiara Bassi, Roberto D’Amico, Vittorio Basevi, Enrica Perrone and Sara Balduzzi. Their work appears in journals such as Cochrane Database of Systematic Reviews, BMC Health Services Research and Implementation Science.

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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