J. Content
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- RNA and protein synthesis mechanisms 19
- Immunology 23
- interferon and immune responses 10
- Immune Response and Inflammation 9
- Co-authors
- L. De Wit (11 shared papers)Jan Tavernier (5 shared papers)Walter Fiers (5 shared papers)Guy Haegeman (2 shared papers)Marc Wathelet (4 shared papers)P Poupart (4 shared papers)Walter Fiers (4 shared papers)Luc Snyers (3 shared papers)
- Journals
- Journal of Virology (6 papers)European Journal of Biochemistry (5 papers)Proceedings of the National Academy of Sciences (4 papers)Biochemical and Biophysical Research Communications (4 papers)FEBS Letters (4 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
J. Content
70 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 106
- Immunology 1.2k
- Infectious Diseases 603
- Oncology 648
- Epidemiology 681
- Molecular Biology 1.3k
Countries citing papers authored by J. Content
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
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.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 287 | |
| 2 | 1980 | 232 | |
| 3 | 1987 | 185 | |
| 4 | 1987 | 162 | |
| 5 | 1990 | 139 | |
| 6 | 1991 | 108 | |
| 7 | 1989 | 107 | |
| 8 | 1990 | 107 | |
| 9 | 1988 | 103 | |
| 10 | 1987 | 99 | |
| 11 | 1994 | 99 | |
| 12 | 1997 | 83 | |
| 13 | 1989 | 70 | |
| 14 | 1997 | 69 | |
| 15 | 1994 | 67 | |
| 16 | 1995 | 66 | |
| 17 | 1980 | 65 | |
| 18 | 1975 | 59 | |
| 19 | 1974 | 53 | |
| 20 | 1971 | 51 |
About J. Content
J. Content is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Oncology, 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), interferon and immune responses (10 papers), Cytokine Signaling Pathways and Interactions (10 papers), Tuberculosis Research and Epidemiology (10 papers), Immune Response and Inflammation (9 papers), Influenza Virus Research Studies (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Mycobacterium research and diagnosis (7 papers). The work is most often cited by research in Immunology (1.2k citations), Infectious Diseases (603 citations), Oncology (648 citations), Epidemiology (681 citations) and Molecular Biology (1.3k 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, P Poupart, Walter Fiers, Luc Snyers, Kris Huygen and Guido Volckaert. Their work appears in journals such as Journal of Virology, European Journal of Biochemistry, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications 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.