Jon Våbenø

531 citations
24 papers · 433 · h-index 13

Impact in

  • Oncology top 10%
    • Chemokine receptors and signaling
    • Drug Transport and Resistance Mechanisms
    • Peptidase Inhibition and Analysis
    • Immunotherapy and Immune Responses

Papers in

    • Chemokine receptors and signaling 15
    • Drug Transport and Resistance Mechanisms 5
    • Chemical Synthesis and Analysis 6
    • vaccines and immunoinformatics approaches 5

Jon Våbenø

24 papers receiving 423 citations

Peers

Jon Våbenø
Comparison fields: 5 of 78
  • Oncology 222
  • Immunology 95
  • Pharmaceutical Science 28
  • Biochemistry 29
  • Molecular Biology 223
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Citations per field
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Citations per year

Countries citing papers authored by Jon Våbenø

Since Specialization
Citations

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

Fields of papers citing papers by Jon Våbenø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 201441
3 200238
4 202135
5 200432
6 200330
7 200429
8 200628
9 201222
10 201517
11 200616
12 201414
13 200613
14 201312
15 200511
16 201810
17 20218
18 20056
19 20225
20 20164

About Jon Våbenø

Jon Våbenø is a scholar working on Oncology, Molecular Biology, Immunology, Infectious Diseases and Organic Chemistry, having authored 24 papers that have together received 433 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (15 papers), Chemical Synthesis and Analysis (6 papers), Immunotherapy and Immune Responses (5 papers), Drug Transport and Resistance Mechanisms (5 papers), vaccines and immunoinformatics approaches (5 papers), HIV/AIDS drug development and treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Oncology (222 citations), Immunology (95 citations), Pharmaceutical Science (28 citations), Biochemistry (29 citations) and Molecular Biology (223 citations). Jon Våbenø has collaborated with scholars based in Norway, Denmark and United States. Frequent co-authors include Mette M. Rosenkilde, Kristina Luthman, Tore Lejon, Stefanie Thiele, Garland R. Marshall, Gregory V. Nikiforovich, Bente Steffansen, Carsten Uhd Nielsen, Anne Steen and Paul C. Stein. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Organic & Biomolecular Chemistry, Science Signaling and Tetrahedron.

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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