Jan Nouta

3.2k citations
32 papers · 1.5k · h-index 17

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Tuberculosis Research and Epidemiology

Papers in

    • Glycosylation and Glycoproteins Research 13
    • Complement system in diseases 6
    • Immunotherapy and Immune Responses 6

Jan Nouta

31 papers receiving 1.5k citations

Peers

Jan Nouta
Comparison fields: 5 of 85
  • Immunology 902
  • Infectious Diseases 284
  • Molecular Biology 647
  • Oncology 249
  • Spectroscopy 146
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Citations per field
00.5×1.7×
Yoann Rombouts · 1×
Citations per year

Countries citing papers authored by Jan Nouta

Since Specialization
Citations

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

Fields of papers citing papers by Jan Nouta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002350
2 2010166
3 2004137
4 2011104
5 200697
6 201997
7 201575
8 202167
9 200663
10 201857
11 202139
12 202333
13 202232
14 201531
15 202030
16 202223
17 202120
18 202016
19 200415
20 201315

About Jan Nouta

Jan Nouta is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Spectroscopy, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Complement system in diseases (6 papers), Immunotherapy and Immune Responses (6 papers), Blood groups and transfusion (4 papers), Platelet Disorders and Treatments (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Immunology (902 citations), Infectious Diseases (284 citations), Molecular Biology (647 citations), Oncology (249 citations) and Spectroscopy (146 citations). Jan Nouta has collaborated with scholars based in Netherlands, Denmark and United Kingdom. Frequent co-authors include Rienk Offringa, Manfred Wuhrer, Sjoerd H. van der Burg, Grayson B. Lipford, Cornelis J.M. Melief, Mark E. Johnson, Guinevere S. M. Lageveen‐Kammeijer, Cornelis J.M. Melief, Tom H. M. Ottenhoff and Sandra M. Arend. Their work appears in journals such as Vaccine, Nature Communications, The Journal of Immunology, Frontiers in Immunology and Frontiers in Chemistry.

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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