Fadia Dib
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
-
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
- Influenza Virus Research Studies
Papers in ⓘ
- Health 7
- Vaccine Coverage and Hesitancy 7
-
- Nosocomial Infections in ICU 2
- Co-authors
- Odile Launay (6 shared papers)Pierre Chauvin (4 shared papers)Philippe Mayaud (5 shared papers)Pierre Verger (2 shared papers)Judit Takács (1 shared paper)Heidi J. Larson (1 shared paper)Emilie Karafillakis (1 shared paper)Patrick Peretti‐Watel (1 shared paper)
- Journals
- Human Vaccines & Immunotherapeutics (4 papers)Obesity Surgery (2 papers)BMJ Open (1 paper)Annals of Intensive Care (1 paper)Vaccine (1 paper)
- Partner nations
- FranceUnited KingdomSweden
In The Last Decade
Fadia Dib
26 papers receiving 488 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Health 263
- Epidemiology 185
- Obstetrics and Gynecology 39
- Modeling and Simulation 22
- Infectious Diseases 78
Countries citing papers authored by Fadia Dib
This map shows the geographic impact of Fadia Dib'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 Fadia Dib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadia Dib more than expected).
Fields of papers citing papers by Fadia Dib
This network shows the impact of papers produced by Fadia Dib. 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 Fadia Dib. The network helps show where Fadia Dib may publish in the future.
Co-authors
The 25 scholars most cited alongside Fadia Dib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HPV vaccination in a context of public mistrust and uncertainty: a systematic literature review of determinants of HPV vaccine hesitancy in Europe Hit paper breakdown → | 2019 | 216 |
| 2 | 2021 | 78 | |
| 3 | 2016 | 23 | |
| 4 | 2018 | 20 | |
| 5 | 2021 | 20 | |
| 6 | 2017 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2022 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2003 | 9 | |
| 13 | 2014 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 2 |
About Fadia Dib
Fadia Dib is a scholar working on Health, Critical Care and Intensive Care Medicine, Family Practice, Obstetrics and Gynecology and Otorhinolaryngology, having authored 26 papers that have together received 497 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (7 papers), Hepatitis B Virus Studies (4 papers), Cervical Cancer and HPV Research (4 papers), Pregnancy and preeclampsia studies (3 papers), Nosocomial Infections in ICU (2 papers), Bariatric Surgery and Outcomes (2 papers), Asthma and respiratory diseases (2 papers) and Healthcare Systems and Practices (2 papers). The work is most often cited by research in Health (263 citations), Epidemiology (185 citations), Obstetrics and Gynecology (39 citations), Modeling and Simulation (22 citations) and Infectious Diseases (78 citations). Fadia Dib has collaborated with scholars based in France, United Kingdom and Sweden. Frequent co-authors include Odile Launay, Pierre Chauvin, Philippe Mayaud, Pierre Verger, Judit Takács, Heidi J. Larson, Emilie Karafillakis, Patrick Peretti‐Watel, Caitlin Jarrett and Lucia Pastore Celentano. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Obesity Surgery, BMJ Open, Annals of Intensive Care and Vaccine.
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.