H. Snippe

4.6k citations
165 papers · 3.8k · h-index 33

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

H. Snippe

150 papers receiving 3.4k citations

Peers

H. Snippe
Comparison fields: 5 of 111
  • Microbiology 657
  • Immunology 1.1k
  • Epidemiology 1.7k
  • Virology 220
  • Infectious Diseases 761
Replace Pele Chong with:
Pele Chong Taiwan
Eric G. Romanowski United States
Weiguang Zeng Australia
Christopher B. Fox United States
Ben J. Appelmelk Netherlands
Mark J. Newman United States
Sylvie Bertholet United States
J. Simon Kroll United Kingdom
Nathalie Garçon Belgium
Stanley M. Spinola United States
H. Snippe relative to Pele Chong Taiwan Pele Chong's profile →
Citations per field
00.5×1.7×
Pele Chong · 1×
Citations per year

Countries citing papers authored by H. Snippe

Since Specialization
Citations

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

Fields of papers citing papers by H. Snippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995293
2 2012152
3 1990131
4 2001106
5 1998104
6 1984102
7 200897
8 201197
9 199294
10 199393
11 200392
12 199789
13 200183
14 198372
15 201068
16 199761
17 199451
18
Dimethyl diotadecyl ammonium bromide as adjuvant for delayed hypersensitivity in mice.
197750
19 198549
20 199545

About H. Snippe

H. Snippe is a scholar working on Epidemiology, Immunology, Public Health, Environmental and Occupational Health, Molecular Biology and Infectious Diseases, having authored 165 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (38 papers), Pneumonia and Respiratory Infections (35 papers), Viral Infections and Vectors (32 papers), Monoclonal and Polyclonal Antibodies Research (26 papers), Glycosylation and Glycoproteins Research (19 papers), Carbohydrate Chemistry and Synthesis (19 papers), Bacterial Infections and Vaccines (19 papers) and Immune Response and Inflammation (17 papers). The work is most often cited by research in Microbiology (657 citations), Immunology (1.1k citations), Epidemiology (1.7k citations), Virology (220 citations) and Infectious Diseases (761 citations). H. Snippe has collaborated with scholars based in Netherlands, United States and Indonesia. Frequent co-authors include A F Verheul, J. Verhoef, Barry Benaissa-Trouw, C. A. Kraaijeveld, J M Willers, Johannis P. Kamerling, Luuk Hilgers, W. A. M. Boere, Johannes F.G. Vliegenthart and Margriet Jansze. Their work appears in journals such as Infection and Immunity, Vaccine, Archives of Virology, Cellular Immunology and Journal of Virology.

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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