L. De Wit
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
-
- interferon and immune responses
Papers in
-
- interferon and immune responses 5
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Jean Content (11 shared papers)Luc Snyers (1 shared paper)Erik De Clercq (4 shared papers)Josette Ooms (2 shared papers)V. Lévy‐Frébault (1 shared paper)Jacqueline De Bruyn (1 shared paper)Denis Piérard (2 shared papers)Walter Fiers (2 shared papers)
- Journals
- Infection and Immunity (2 papers)Journal of General Virology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- BelgiumNetherlandsFrance
In The Last Decade
L. De Wit
16 papers receiving 555 citations
Peers
Comparison fields: 5 of 55
- Behavioral Neuroscience 26
- Immunology 134
- Molecular Medicine 45
- Oncology 142
- Infectious Diseases 114
Countries citing papers authored by L. De Wit
This map shows the geographic impact of L. De Wit'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 L. De Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. De Wit more than expected).
Fields of papers citing papers by L. De Wit
This network shows the impact of papers produced by L. De Wit. 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 L. De Wit. The network helps show where L. De Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside L. De Wit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 143 | |
| 2 | 1991 | 113 | |
| 3 | 1982 | 110 | |
| 4 | 1997 | 51 | |
| 5 | The adenovirus E1A-associated 300 kDa adaptor protein counteracts the inhibition of the collagenase promoter by E1A and represses transformation. | 1996 | 37 |
| 6 | 1985 | 33 | |
| 7 | 1978 | 32 | |
| 8 | 1990 | 23 | |
| 9 | 1994 | 19 | |
| 10 | 1977 | 12 | |
| 11 | Adenovirus E1A antagonizes both negative and positive growth signals elicited by transforming growth factor beta 1. | 1995 | 12 |
| 12 | Induction of the mitogen-activated p70 S6 kinase by adenovirus E1A. | 1995 | 10 |
| 13 | 1980 | 7 | |
| 14 | 1982 | 5 | |
| 15 | 1978 | 4 | |
| 16 | 1982 | 1 |
About L. De Wit
L. De Wit is a scholar working on Immunology, Oncology, Epidemiology, Infectious Diseases and Molecular Medicine, having authored 16 papers that have together received 612 indexed citations. Recurring topics across this work include interferon and immune responses (5 papers), Tuberculosis Research and Epidemiology (2 papers), Cancer-related Molecular Pathways (2 papers), Influenza Virus Research Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), TGF-β signaling in diseases (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Behavioral Neuroscience (26 citations), Immunology (134 citations), Molecular Medicine (45 citations), Oncology (142 citations) and Infectious Diseases (114 citations). L. De Wit has collaborated with scholars based in Belgium, Netherlands and France. Frequent co-authors include Jean Content, Luc Snyers, Erik De Clercq, Josette Ooms, V. Lévy‐Frébault, Jacqueline De Bruyn, Denis Piérard, Walter Fiers, A.J. van der Eb and Alt ZANTEMA. Their work appears in journals such as Infection and Immunity, Journal of General Virology, Biochemical and Biophysical Research Communications, Journal of Virology 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.