C. Weissmann
- Ecology top 5%
- Bacteriophages and microbial interactions 11
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 8
- DNA and Nucleic Acid Chemistry 5
- RNA Research and Splicing 4
- Prion Diseases and Protein Misfolding 3
- RNA modifications and cancer 3
- Genetics top 10%
- Bacterial Genetics and Biotechnology 6
-
- interferon and immune responses 3
- Pharmacology top 10%
- Co-authors
- Peter J. CurtisHans WeberHeike HofstetterH. M. GoodmanJ. Roger HindleyMartin BilleterG. FeixHans‐Jürg Monstein
- Cited by
- EcologyMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Helvetica Chimica Acta (7 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
C. Weissmann
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Ecology 406
- Molecular Biology 909
- Genetics 323
- Immunology 181
- Pharmacology 45
Countries citing papers authored by C. Weissmann
This map shows the geographic impact of C. Weissmann'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. Weissmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Weissmann more than expected).
Fields of papers citing papers by C. Weissmann
This network shows the impact of papers produced by C. Weissmann. 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. Weissmann. The network helps show where C. Weissmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Weissmann, 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 | 2004 | 4 | |
| 2 | 2004 | 34 | |
| 3 | 1999 | 3 | |
| 4 | 1984 | 13 | |
| 5 | 1981 | 154 | |
| 6 | A Qbeta DNA-containing hybrid plasmid giving rise to Qbeta phage formation in the bacterial host [proceedings]. | 1978 | 7 |
| 7 | 1976 | 50 | |
| 8 | 1976 | 83 | |
| 9 | 1975 | 11 | |
| 10 | 1974 | 10 | |
| 11 | 1973 | 127 | |
| 12 | 1970 | 14 | |
| 13 | 1967 | 14 | |
| 14 | 1966 | 33 | |
| 15 | 1965 | 41 | |
| 16 | 1962 | 6 | |
| 17 | 1961 | 13 | |
| 18 | 1961 | 8 | |
| 19 | 1960 | 4 | |
| 20 | 1960 | 33 |
About C. Weissmann
C. Weissmann is a scholar working on Ecology, Pharmacology, Genetics, Molecular Biology and Organic Chemistry, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (11 papers), RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (6 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA Research and Splicing (4 papers), interferon and immune responses (3 papers), Prion Diseases and Protein Misfolding (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Ecology (406 citations), Molecular Biology (909 citations), Genetics (323 citations), Immunology (181 citations) and Pharmacology (45 citations). C. Weissmann has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Peter J. Curtis, Hans Weber, Heike Hofstetter, H. M. Goodman, J. Roger Hindley, Martin Billeter, G. Feix, Hans‐Jürg Monstein, Hanoch Slor and Richard A. Flavell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Helvetica Chimica Acta, Journal of Molecular Biology, Cold Spring Harbor Symposia on Quantitative Biology and Gene.
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.