Christopher S. Gilbert
- Oncology top 1%
- Molecular Biology top 1%
- Cell death mechanisms and regulation 4
- RNA Research and Splicing 4
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Mitochondrial Function and Pathology 2
- RNA regulation and disease 2
- RNA Interference and Gene Delivery 2
- CRISPR and Genetic Engineering 2
- Cancer Research top 2%
- Immunology top 5%
- Cell Biology top 2%
- Co-authors
- Gérard I. EvanAndrew H. WyllieMary W. BrooksHartmut LandCatherine WatersTrevor D. LittlewoodDavid C. HancockLinda Z. Penn
- Journals
- European Journal of Biochemistry (5 papers)Molecular Cell (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
Christopher S. Gilbert
16 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Oncology 1.7k
- Molecular Biology 4.0k
- Cancer Research 647
- Immunology 887
- Cell Biology 564
Countries citing papers authored by Christopher S. Gilbert
This map shows the geographic impact of Christopher S. Gilbert'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 Christopher S. Gilbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. Gilbert more than expected).
Fields of papers citing papers by Christopher S. Gilbert
This network shows the impact of papers produced by Christopher S. Gilbert. 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 Christopher S. Gilbert. The network helps show where Christopher S. Gilbert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher S. Gilbert, 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 | 2005 | 8 | |
| 2 | 2004 | 116 | |
| 3 | 2003 | 21 | |
| 4 | 2001 | 249 | |
| 5 | 1997 | 136 | |
| 6 | Suppression of c-Myc-induced apoptosis by Ras signalling through PI(3)K and PKBbreakdown → | 1997 | 1009 |
| 7 | 1997 | 471 | |
| 8 | 1993 | 90 | |
| 9 | 1993 | 58 | |
| 10 | Induction of apoptosis in fibroblasts by c-myc proteinbreakdown → | 1992 | 2564 |
| 11 | 1991 | 38 | |
| 12 | 1985 | 102 | |
| 13 | 1982 | 73 | |
| 14 | 1979 | 48 | |
| 15 | 1978 | 116 | |
| 16 | 1976 | 65 |
About Christopher S. Gilbert
Christopher S. Gilbert is a scholar working on Developmental Neuroscience, Molecular Biology, Cell Biology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), RNA Research and Splicing (4 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Mitochondrial Function and Pathology (2 papers), RNA regulation and disease (2 papers), RNA Interference and Gene Delivery (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Oncology (1.7k citations), Molecular Biology (4.0k citations), Cancer Research (647 citations), Immunology (887 citations) and Cell Biology (564 citations). Christopher S. Gilbert has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Gérard I. Evan, Andrew H. Wyllie, Mary W. Brooks, Hartmut Land, Catherine Waters, Trevor D. Littlewood, David C. Hancock, Linda Z. Penn, Andrea Kauffmann-Zeh and Eugen Ulrich. Their work appears in journals such as European Journal of Biochemistry, Molecular Cell, Nucleic Acids Research, The Journal of Cell Biology and Nature Genetics.
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.