Daniela Zugna

60 papers receiving 1.7k citations

Daniela Zugna's Hit Papers

Mediation analysis in epidemiology: methods, interpretation and bias 2013 · 580 citations
5800+4+8Years since publication100200300400500

Peers

Daniela Zugna
Comparison fields: 5 of 130
  • Gastroenterology 80
  • Health, Toxicology and Mutagenesis 193
  • Health 76
  • Speech and Hearing 57
  • Urology 52
Replace Fernando Pires Hartwig with:
Fernando Pires Hartwig Brazil
H Ziegler Germany
Earl L. Diamond United States
Brian Cox New Zealand
Hiroshi Yokomichi Japan
Maria C. Magnus Norway
Norma Kanarek United States
Binod Neupane Canada
Pia Veldt Larsen Denmark
Raquel Granell United Kingdom
Daniela Zugna relative to Fernando Pires Hartwig Brazil Fernando Pires Hartwig's profile →
Citations per field
00.5×5.6×
Fernando Pires Hartwig · 1×
Citations per year

Countries citing papers authored by Daniela Zugna

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Zugna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mediation analysis in epidemiology: methods, interpretation and bias
Hit paper breakdown →
2013580
2 2010142
3 2017110
4 201991
5 201058
6 201456
7 201854
8 201347
9 201342
10 201332
11 201827
12 201524
13 201623
14 201522
15 201521
16 202020
17 201420
18 201119
19 201518
20 201917

About Daniela Zugna

Daniela Zugna is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Statistics and Probability and Oncology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (7 papers), Epigenetics and DNA Methylation (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Testicular diseases and treatments (5 papers), Health, Environment, Cognitive Aging (5 papers), Celiac Disease Research and Management (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Gastroenterology (80 citations), Health, Toxicology and Mutagenesis (193 citations), Health (76 citations), Speech and Hearing (57 citations) and Urology (52 citations). Daniela Zugna has collaborated with scholars based in Italy, Sweden and United Kingdom. Frequent co-authors include Lorenzo Richiardi, Rino Bellocco, Olof Akre, Franco Merletti, Andreas Pettersson, Renata Zelić, Olof Stephansson, Chiara Grasso, Jonas F. Ludvigsson and Valentina Fiano. Their work appears in journals such as PLoS ONE, American Journal of Epidemiology, International Journal of Cancer, British Journal of Dermatology and European Urology.

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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