Eva van Doorn

20 total papers · 469 total citations
11 papers, 243 citations indexed

About

Eva van Doorn is a scholar working on Epidemiology, Health and Immunology. According to data from OpenAlex, Eva van Doorn has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Health and 3 papers in Immunology. Recurrent topics in Eva van Doorn's work include Respiratory viral infections research (7 papers), Influenza Virus Research Studies (7 papers) and Vaccine Coverage and Hesitancy (4 papers). Eva van Doorn is often cited by papers focused on Respiratory viral infections research (7 papers), Influenza Virus Research Studies (7 papers) and Vaccine Coverage and Hesitancy (4 papers). Eva van Doorn collaborates with scholars based in Netherlands, Canada and Germany. Eva van Doorn's co-authors include Eelko Hak, Heng Liu, Anke Huckriede, Henderik W. Frijlink, Heng Liu, Stephen Norley, Emilia Bigaeva, Adam Meijer, Tamar Ben-Yedidia and Shimon Hassin and has published in prestigious journals such as PLoS ONE, Medicine and Vaccine.

In The Last Decade

Eva van Doorn

10 papers receiving 235 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva van Doorn 118 118 73 43 28 11 243
Caroline L. Ashley 87 0.7× 139 1.2× 99 1.4× 89 2.1× 18 0.6× 15 292
Tsai-Lien Lin 105 0.9× 68 0.6× 124 1.7× 110 2.6× 45 1.6× 10 324
Toshiki Sekiya 110 0.9× 121 1.0× 70 1.0× 62 1.4× 13 0.5× 18 280
Ane Ogbe 43 0.4× 186 1.6× 65 0.9× 114 2.7× 13 0.5× 16 328
Hasan Ahmed 49 0.4× 68 0.6× 41 0.6× 96 2.2× 13 0.5× 17 183
Pedro M. Folegatti 111 0.9× 57 0.5× 52 0.7× 125 2.9× 8 0.3× 12 246
Mrunal Sakharkar 77 0.7× 82 0.7× 42 0.6× 228 5.3× 17 0.6× 8 284
Karina Godoy‐Ramirez 80 0.7× 154 1.3× 58 0.8× 35 0.8× 6 0.2× 14 288
Maja Jahnmatz 181 1.5× 85 0.7× 30 0.4× 65 1.5× 30 1.1× 6 294
Harrison Powell 87 0.7× 58 0.5× 34 0.5× 111 2.6× 20 0.7× 13 246

Countries citing papers authored by Eva van Doorn

Since Specialization
Citations

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

Fields of papers citing papers by Eva van Doorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva van Doorn. 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 Eva van Doorn. The network helps show where Eva van Doorn may publish in the future.

Co-authorship network of co-authors of Eva van Doorn

This figure shows the co-authorship network connecting the top 25 collaborators of Eva van Doorn. A scholar is included among the top collaborators of Eva van Doorn 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 Eva van Doorn. Eva van Doorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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