J. Content

3.7k citations
70 papers · 3.1k indexed · h-index 30

Impact in

  • Immunology top 2%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Tuberculosis Research and Epidemiology

Papers in

    • interferon and immune responses 10
    • Immune Response and Inflammation 9
    • Tuberculosis Research and Epidemiology 10

J. Content

70 papers receiving 2.9k citations

Peers

J. Content
Comparison fields: 5 of 106
  • Immunology 1.3k
  • Infectious Diseases 615
  • Oncology 661
  • Epidemiology 707
  • Molecular Medicine 99
Replace Mitchell Gross with:
Mitchell Gross United States
Kenji Kaneda Japan
Gersende Caron France
Atsushi Hase Japan
Andrew Lees United States
Alessandra Mortellaro Singapore
Vladimir V. Kravchenko United States
Timo Sareneva Finland
J Y Djeu United States
Kemin Tan United States
J. Content relative to Mitchell Gross United States Mitchell Gross's profile →
Citations per field
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Mitchell Gross · 1×
Citations per year

Countries citing papers authored by J. Content

Since Specialization
Citations

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

Fields of papers citing papers by J. Content

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986287
2 1980232
3 1987185
4 1987162
5 1990139
6 1991108
7 1989107
8 1990107
9 1988103
10 198799
11 199499
12 199782
13 198970
14 199769
15 199467
16 199566
17 198065
18 197559
19 197453
20 197151

About J. Content

J. Content is a scholar working on Immunology, Infectious Diseases, Epidemiology, Molecular Medicine and Endocrinology, having authored 70 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (19 papers), Cytokine Signaling Pathways and Interactions (10 papers), Tuberculosis Research and Epidemiology (10 papers), interferon and immune responses (10 papers), Immune Response and Inflammation (9 papers), Influenza Virus Research Studies (9 papers), Mycobacterium research and diagnosis (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (1.3k citations), Infectious Diseases (615 citations), Oncology (661 citations), Epidemiology (707 citations) and Molecular Medicine (99 citations). J. Content has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include L. De Wit, Jan Tavernier, Walter Fiers, Guy Haegeman, Marc Wathelet, Walter Fiers, P Poupart, Luc Snyers, Erik De Clercq and Kris Huygen. Their work appears in journals such as Journal of Virology, European Journal of Biochemistry, Journal of General Virology, Proceedings of the National Academy of Sciences and FEBS Letters.

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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