Joan de Jong

1.8k citations
14 papers · 1.5k · h-index 10

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Response and Inflammation 5
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
    • Cell death mechanisms and regulation 2

Joan de Jong

14 papers receiving 1.5k citations

Peers

Joan de Jong
Comparison fields: 5 of 70
  • Immunology 918
  • Oncology 340
  • Cancer Research 188
  • Genetics 97
  • Hematology 83
Replace Randall J. Brezski with:
Randall J. Brezski United States
Joseph R. Tumang United States
Mohammad Zafari United States
Christiane Werner‐Favre Switzerland
Sandra Gardam Australia
Jeroen E. J. Guikema Netherlands
Marie‐Claude Stolzenberg France
Kyoko Ochiai Japan
A Rolink Switzerland
Masakatsu Hishizawa Japan
Joan de Jong relative to Randall J. Brezski United States Randall J. Brezski's profile →
Citations per field
00.5×1.5×2.1×
Randall J. Brezski · 1×
Citations per year

Countries citing papers authored by Joan de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Joan de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan de Jong. 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 Joan de Jong. The network helps show where Joan de Jong may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999280
2 2001277
3 2002223
4 2002204
5 2001175
6 2001125
7 2004117
8 201835
9 200834
10 200212
11 20185
12 20144
13 19924
14 20181

About Joan de Jong

Joan de Jong is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), NF-κB Signaling Pathways (3 papers), Business and Economic Development (2 papers), Organizational and Employee Performance (2 papers), Cell death mechanisms and regulation (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Immunology (918 citations), Oncology (340 citations), Cancer Research (188 citations), Genetics (97 citations) and Hematology (83 citations). Joan de Jong has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Jan Paul Medema, Rienk Offringa, Michael Hahne, Cornelis J.M. Melief, Thorbald van Hall, Carlos Martínez‐A, Carla Eponina Carvalho-Pinto, Cornelis J.M. Melief, Dolores Rodrı́guez and Jens V. Stein. Their work appears in journals such as Journal of Clinical Investigation, International Journal of Cancer, The Journal of Experimental Medicine, PLoS ONE and Proceedings of the National Academy of Sciences.

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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