C Lengel
Impact in
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- HIV Research and Treatment
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- Cancer-related Molecular Pathways
Papers in
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- Fibroblast Growth Factor Research 2
- RNA Research and Splicing 2
- Bone Metabolism and Diseases 2
- Oncology 7
- Polyomavirus and related diseases 2
- Co-authors
- Márcio F. Chedid (3 shared papers)Steven R. Tronick (4 shared papers)Konrad Hüppi (1 shared paper)David Givol (1 shared paper)Paolo Michieli (1 shared paper)M A Baluda (1 shared paper)Genoveffa Franchini (1 shared paper)Flossie Wong‐Staal (1 shared paper)
- Journals
- Cellular Immunology (2 papers)Journal of Biological Chemistry (2 papers)Journal of Bone and Mineral Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Experimental Biology and Medicine (1 paper)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
C Lengel
14 papers receiving 389 citations
Peers
Comparison fields: 5 of 52
- Virology 27
- Oncology 143
- Cell Biology 68
- Molecular Biology 226
- Cancer Research 39
Countries citing papers authored by C Lengel
This map shows the geographic impact of C Lengel'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 C Lengel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Lengel more than expected).
Fields of papers citing papers by C Lengel
This network shows the impact of papers produced by C Lengel. 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 C Lengel. The network helps show where C Lengel may publish in the future.
Co-authors
The 25 scholars most cited alongside C Lengel, 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 | A single nucleotide substitution at codon 31 (Ser/Arg) defines a polymorphism in a highly conserved region of the p53-inducible gene WAF1/CIP1. | 1994 | 91 |
| 2 | 1993 | 84 | |
| 3 | 1983 | 73 | |
| 4 | 1985 | 56 | |
| 5 | 1992 | 50 | |
| 6 | 1995 | 35 | |
| 7 | 1971 | 5 | |
| 8 | Secreted Frizzled-related protein (sFRP-1) binds to RANKL to inhibit osteoclast formation. | 2001 | 4 |
| 9 | 1978 | 4 | |
| 10 | 1978 | 3 | |
| 11 | 1979 | 2 | |
| 12 | Secreted frizzled-related protein (sFRP-1) inhibits TNFalpha- or RANKL-dependent osteoclast formation. | 2002 | 1 |
| 13 | 1972 | 1 | |
| 14 | 1978 | 1 |
About C Lengel
C Lengel is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Animal Science and Zoology, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Animal Virus Infections Studies (3 papers), Polyomavirus and related diseases (2 papers), Immune Cell Function and Interaction (2 papers), Fibroblast Growth Factor Research (2 papers), RNA Research and Splicing (2 papers), Immunotherapy and Immune Responses (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Virology (27 citations), Oncology (143 citations), Cell Biology (68 citations), Molecular Biology (226 citations) and Cancer Research (39 citations). C Lengel has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Márcio F. Chedid, Steven R. Tronick, Konrad Hüppi, David Givol, Paolo Michieli, M A Baluda, Genoveffa Franchini, Flossie Wong‐Staal, Paul W. Finch and Reuven Reich. Their work appears in journals such as Cellular Immunology, Journal of Biological Chemistry, Journal of Bone and Mineral Research, Proceedings of the National Academy of Sciences and Experimental Biology and Medicine.
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.