Daniel Weibel

1.6k total citations
48 papers, 753 citations indexed

About

Daniel Weibel is a scholar working on Epidemiology, Health and Infectious Diseases. According to data from OpenAlex, Daniel Weibel has authored 48 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 19 papers in Health and 12 papers in Infectious Diseases. Recurrent topics in Daniel Weibel's work include Vaccine Coverage and Hesitancy (19 papers), Influenza Virus Research Studies (11 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Daniel Weibel is often cited by papers focused on Vaccine Coverage and Hesitancy (19 papers), Influenza Virus Research Studies (11 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Daniel Weibel collaborates with scholars based in Netherlands, Switzerland and United States. Daniel Weibel's co-authors include Miriam Sturkenboom, Jan Bonhoeffer, Silvana Romio, J. Dieleman, K Johansen, Caitlin Dodd, Ulrich Heininger, Jean‐Luc Richard, Preciosa M. Coloma and Johan van der Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.

In The Last Decade

Daniel Weibel

45 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Weibel Netherlands 16 251 210 181 91 87 48 753
Robert T. Chen United States 7 559 2.2× 381 1.8× 235 1.3× 66 0.7× 50 0.6× 8 884
Rebecca E. Chandler Sweden 14 106 0.4× 85 0.4× 320 1.8× 128 1.4× 31 0.4× 34 767
Hazel J Clothier Australia 14 250 1.0× 156 0.7× 237 1.3× 61 0.7× 12 0.1× 57 586
Michael Joseph United States 16 219 0.9× 51 0.2× 214 1.2× 24 0.3× 32 0.4× 66 1.0k
Kimp Walton United States 11 356 1.4× 217 1.0× 123 0.7× 32 0.4× 17 0.2× 15 735
Aleksandra Marinkovic Nigeria 9 179 0.7× 112 0.5× 801 4.4× 15 0.2× 44 0.5× 31 1.4k
Joan Stephenson United Kingdom 18 177 0.7× 57 0.3× 207 1.1× 6 0.1× 56 0.6× 230 1.1k
David Zucman France 18 369 1.5× 107 0.5× 589 3.3× 10 0.1× 51 0.6× 71 1.3k
Lara Bull–Otterson United States 16 549 2.2× 55 0.3× 619 3.4× 12 0.1× 26 0.3× 24 1.6k
Andreia Leite Portugal 10 98 0.4× 489 2.3× 316 1.7× 20 0.2× 57 0.7× 44 797

Countries citing papers authored by Daniel Weibel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Weibel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Weibel

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Weibel. A scholar is included among the top collaborators of Daniel Weibel 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 Daniel Weibel. Daniel Weibel 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
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Ansah, Nana Akosua, et al.. (2023). Documenting capacity and existing gaps in reporting adverse events following immunisation in Northern Ghana: a quantitative cross-sectional survey of healthcare workers. SHILAP Revista de lepidopterología. 1(1). e000077–e000077. 2 indexed citations
3.
Sisay, Malede Mequanent, Binyam Tilahun, Tadesse Awoke Ayele, et al.. (2023). COVID-19 Vaccine Safety Monitoring Studies in Low- and Middle-Income Countries (LMICs)—A Systematic Review of Study Designs and Methods. Vaccines. 11(6). 1035–1035. 9 indexed citations
4.
Willame, Corinne, Caitlin Dodd, Lieke van der Aa, et al.. (2021). Incidence Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project. Drug Safety. 44(3). 383–395. 25 indexed citations
5.
Dodd, Caitlin, Maria de Ridder, Daniel Weibel, et al.. (2020). ADVANCE system testing: Estimating the incidence of adverse events following pertussis vaccination in healthcare databases with incomplete exposure data. Vaccine. 38. B47–B55. 2 indexed citations
6.
Alba, Sandra, Kristien Verdonck, Annick Lenglet, et al.. (2020). Bridging research integrity and global health epidemiology (BRIDGE) statement: guidelines for good epidemiological practice. BMJ Global Health. 5(10). e003236–e003236. 16 indexed citations
7.
Kajungu, Dan, et al.. (2020). Vaccines safety and maternal knowledge for enhanced maternal immunization acceptability in rural Uganda: A qualitative study approach. PLoS ONE. 15(12). e0243834–e0243834. 17 indexed citations
8.
Weibel, Daniel, Caitlin Dodd, Olivia Mahaux, et al.. (2019). ADVANCE system testing: Can safety studies be conducted using electronic healthcare data? An example using pertussis vaccination. Vaccine. 38. B38–B46. 8 indexed citations
9.
Emborg, Hanne‐Dorthe, Johnny Kahlert, Toon Braeye, et al.. (2019). ADVANCE system testing: Can coverage of pertussis vaccination be estimated in European countries using electronic healthcare databases: An example. Vaccine. 38. B22–B30. 9 indexed citations
10.
Stark, James H., Eve E Wool, Elizabeth Robinson, et al.. (2018). Assessing feasibility of resources at health facilities in Uganda to diagnose pregnancy and neonatal outcomes. International Health. 11(2). 128–135. 5 indexed citations
11.
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Dodd, Caitlin, Alexandra Păcurariu, Daniel Weibel, et al.. (2018). Masking by vaccines in pediatric drug safety signal detection in the EudraVigilance database. Pharmacoepidemiology and Drug Safety. 27(11). 1249–1256. 3 indexed citations
13.
Dodd, Caitlin, Gwen Masclee, Maria de Ridder, et al.. (2018). Impact and longevity of measles-associated immune suppression: a matched cohort study using data from the THIN general practice database in the UK. BMJ Open. 8(11). e021465–e021465. 40 indexed citations
14.
Dodd, Caitlin, et al.. (2017). Bell’s palsy and influenza(H1N1)pdm09 containing vaccines: A self-controlled case series. PLoS ONE. 12(5). e0175539–e0175539. 9 indexed citations
15.
Ferrajolo, Carmen, Caitlin Dodd, Alexandra Păcurariu, et al.. (2016). Pharmacoepidemiological safety studies in children: a systematic review. Pharmacoepidemiology and Drug Safety. 25(8). 861–870. 18 indexed citations
16.
Dodd, Caitlin, et al.. (2016). Drug Safety Monitoring in Children: Performance of Signal Detection Algorithms and Impact of Age Stratification. Drug Safety. 39(9). 873–881. 15 indexed citations
17.
Lamb, Favelle, Alexander Ploner, Katharina Fink, et al.. (2016). No Evidence for Disease History as a Risk Factor for Narcolepsy after A(H1N1)pdm09 Vaccination. PLoS ONE. 11(4). e0154296–e0154296. 3 indexed citations
18.
19.
Fregonese, Federica, Carmen Ferrajolo, Katia Verhamme, et al.. (2015). Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems. Drug Safety. 38(2). 207–217. 19 indexed citations
20.
Dieleman, J., Silvana Romio, K Johansen, et al.. (2011). Guillain-Barre syndrome and adjuvanted pandemic influenza A (H1N1) 2009 vaccine: multinational case-control study in Europe. BMJ. 343(jul12 2). d3908–d3908. 129 indexed citations

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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