Jovanka Bestebroer

1.7k citations
18 papers · 1.3k indexed · h-index 17

Jovanka Bestebroer

18 papers receiving 1.3k citations

Peers

Jovanka Bestebroer
Comparison fields: 5 of 85
  • Infectious Diseases 751
  • Microbiology 218
  • Immunology 501
  • Molecular Medicine 99
  • Immunology and Allergy 70
Replace Vilasack Thammavongsa with:
Vilasack Thammavongsa United States
Carla J. C. de Haas Netherlands
András N. Spaan Netherlands
J. Hiroshi Morisaki United States
Franziska Agerer Germany
Muguette Jéhanno France
Ulrich von Pawel‐Rammingen Sweden
J. Muse Davis United States
Jyotika Sharma United States
Darrell R. Galloway United States
Jovanka Bestebroer relative to Vilasack Thammavongsa United States Vilasack Thammavongsa's profile →
Citations per field
00.5×3.2×
Vilasack Thammavongsa · 1×
Citations per year

Countries citing papers authored by Jovanka Bestebroer

Since Specialization
Citations

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

Fields of papers citing papers by Jovanka Bestebroer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201734
2 201662
3 2014147
4 201427
5 201397
6 201273
7 2012130
8 2011121
9 201081
10 201010
11 201017
12 200960
13 200939
14 200950
15 200963
16 200866
17 2006100
18 2006139

About Jovanka Bestebroer

Jovanka Bestebroer is a scholar working on Microbiology, Immunology and Allergy and Immunology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Cell Adhesion Molecules Research (4 papers), Antimicrobial Peptides and Activities (4 papers), Tuberculosis Research and Epidemiology (3 papers), Immunotherapy and Immune Responses (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (751 citations), Microbiology (218 citations) and Immunology (501 citations). Jovanka Bestebroer has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Jos A. G. van Strijp, Kok P. M. van Kessel, Carla J. C. de Haas, Cristina Prat, Wilbert Bitter, Annemiek Walenkamp, Tom H. M. Ottenhoff, Louis Wilson, Mario Mauthe and Philip V’kovski. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

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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