Wim Jansen

902 citations
50 papers · 702 · h-index 14

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Bacterial Infections and Vaccines

Papers in

Wim Jansen

41 papers receiving 615 citations

Peers

Wim Jansen
Comparison fields: 5 of 122
  • Aging 41
  • Microbiology 86
  • Molecular Medicine 57
  • Applied Microbiology and Biotechnology 16
  • Infectious Diseases 120
Replace Bamini Jayabalasingham with:
Bamini Jayabalasingham United States
Chi‐Fang Wu United States
Patrick J. Moynihan United Kingdom
James Kirby Martin United States
Guillermo López–Campos Spain
Roberto Valverde United States
Gregory E. Harris Canada
Ming Luo China
Michael R. Ford United States
Adam C. Schaffer United States
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Citations per field
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Bamini Jayabalasingham · 1×
Citations per year

Countries citing papers authored by Wim Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Wim Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199493
2 200282
3 200660
4 200645
5 199842
6 200740
7 198838
8 200634
9 201432
10 201726
11 200325
12
Short-chain oligosaccharide protein conjugates as experimental pneumococcal vaccines.
200421
13 200820
14 201218
15 200913
16 199012
17 200711
18 20089
19 20019
20 20168

About Wim Jansen

Wim Jansen is a scholar working on Sociology and Political Science, Language and Linguistics, Political Science and International Relations, Epidemiology and Infectious Diseases, having authored 50 papers that have together received 702 indexed citations. Recurring topics across this work include Intergenerational and Educational Inequality Studies (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Pneumonia and Respiratory Infections (4 papers), Income, Poverty, and Inequality (4 papers), Bacterial Infections and Vaccines (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Social Policy and Reform Studies (3 papers) and Spanish Linguistics and Language Studies (3 papers). The work is most often cited by research in Aging (41 citations), Microbiology (86 citations), Molecular Medicine (57 citations), Applied Microbiology and Biotechnology (16 citations) and Infectious Diseases (120 citations). Wim Jansen has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Jos Dessens, J. Verhoef, H. Snippe, Ad C. Fluit, G. S. Chhatwal, Rudi Balling, Ralf Schnabel, D. Milatović, Wout Últee and M. Beitsma. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Sociological Review, Clinical Microbiology and Infection, European Societies and Linguistics.

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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