Anna Acampora

1.1k citations
48 papers · 687 · h-index 11

Impact in

  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Influenza Virus Research Studies
    • Cytomegalovirus and herpesvirus research
    • Vaccine Coverage and Hesitancy

Papers in

Anna Acampora

43 papers receiving 672 citations

Peers

Anna Acampora
Comparison fields: 5 of 91
  • Epidemiology 205
  • Health 40
  • Oncology 117
  • Modeling and Simulation 19
  • General Health Professions 93
Replace Susan Spillane with:
Susan Spillane Ireland
Gideon Aweh United States
Angela E. Raffle United Kingdom
Katherine E. Mues United States
In Kyung Yoo South Korea
Inaamul Haq India
Ava John‐Baptiste Canada
Ines Mesa‐Eguiagaray United Kingdom
Kathleen B. Cartmell United States
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Citations per field
00.5×1.5×2.1×
Susan Spillane · 1×
Citations per year

Countries citing papers authored by Anna Acampora

Since Specialization
Citations

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

Fields of papers citing papers by Anna Acampora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Acampora, 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 Anna Acampora Line = papers co-authored together Anna Acampora 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 2015152
2 201474
3 201970
4 201652
5 202050
6 202048
7 202036
8 202034
9 202218
10 202116
11 202013
12 201910
13 202110
14 20229
15 20209
16 20218
17 20187
18 20217
19 20227
20 20206

About Anna Acampora

Anna Acampora is a scholar working on Epidemiology, General Health Professions, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 48 papers that have together received 687 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Vaccine Coverage and Hesitancy (3 papers), Protein Tyrosine Phosphatases (3 papers), Chronic Disease Management Strategies (3 papers), BRCA gene mutations in cancer (3 papers), Healthcare Quality and Management (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Epidemiology (205 citations), Health (40 citations), Oncology (117 citations), Modeling and Simulation (19 citations) and General Health Professions (93 citations). Anna Acampora has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Gianfranco Damiani, Walter Ricciardi, D. Michele Basso, Emanuela Maria Frisicale, Caterina Bianca Neve Aurora Bianchi, Giulia Silvestrini, Franco Sassi, Stefania Boccia, Michele Sassano and Caterina Rizzo. Their work appears in journals such as European Journal of Public Health, International Journal of Environmental Research and Public Health, Health Policy, Journal of Alzheimer s Disease and European Journal of Medical Genetics.

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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