F.H. Ruddle
- Genetics top 0.2%
- Animal Genetics and Reproduction 26
- Virus-based gene therapy research 22
- Molecular Biology top 0.5%
- Biochemical and Molecular Research 28
- CRISPR and Genetic Engineering 23
- Genomics and Chromatin Dynamics 19
- Developmental Biology and Gene Regulation 17
- RNA modifications and cancer 16
- Immunology top 1%
- Hematology top 2%
- Transplantation top 2%
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- Chromosomal and Genetic Variations 17
- Co-authors
- P. Meera KhanGeorge ScangosJ A BarbosaP E BarkerJon W. GordonDimitrina D. PravtchevaR. E. K. FournierJay A. Tischfield
- Cited by
- GeneticsMolecular BiologyImmunology
- Journals
- Cytogenetic and Genome Research (56 papers)Proceedings of the National Academy of Sciences (52 papers)The Journal of Experimental Medicine (11 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
F.H. Ruddle
226 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Genetics 4.2k
- Molecular Biology 8.0k
- Immunology 1.7k
- Hematology 575
- Transplantation 134
Countries citing papers authored by F.H. Ruddle
This map shows the geographic impact of F.H. Ruddle'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 F.H. Ruddle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.H. Ruddle more than expected).
Fields of papers citing papers by F.H. Ruddle
This network shows the impact of papers produced by F.H. Ruddle. 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 F.H. Ruddle. The network helps show where F.H. Ruddle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F.H. Ruddle, 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 | 1985 | 8 | |
| 2 | 1985 | 54 | |
| 3 | 1985 | 6 | |
| 4 | 1982 | 21 | |
| 5 | 1982 | 19 | |
| 6 | 1978 | 1 | |
| 7 | 1978 | 18 | |
| 8 | 1976 | 2 | |
| 9 | 1976 | 6 | |
| 10 | 1976 | 15 | |
| 11 | 1976 | 4 | |
| 12 | 1976 | 0 | |
| 13 | Mammalian chromosome identification in interspecific hybride cells using "Hoechst 33258". | 1975 | 36 |
| 14 | 1975 | 0 | |
| 15 | 1975 | 3 | |
| 16 | 1974 | 68 | |
| 17 | 1974 | 17 | |
| 18 | 1974 | 4 | |
| 19 | 1974 | 5 | |
| 20 | 1973 | 247 |
About F.H. Ruddle
F.H. Ruddle is a scholar working on Genetics, Molecular Biology, Clinical Biochemistry, Immunology and Genetics, having authored 229 papers that have together received 12.5k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (28 papers), Animal Genetics and Reproduction (26 papers), CRISPR and Genetic Engineering (23 papers), Virus-based gene therapy research (22 papers), Genomics and Chromatin Dynamics (19 papers), Chromosomal and Genetic Variations (17 papers), Developmental Biology and Gene Regulation (17 papers) and RNA modifications and cancer (16 papers). The work is most often cited by research in Genetics (4.2k citations), Molecular Biology (8.0k citations), Immunology (1.7k citations), Hematology (575 citations) and Transplantation (134 citations). F.H. Ruddle has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include P. Meera Khan, George Scangos, J A Barbosa, P E Barker, Jon W. Gordon, Dimitrina D. Pravtcheva, R. E. K. Fournier, Jay A. Tischfield, Peter D’Eustachio and Klaus Schughart. Their work appears in journals such as Cytogenetic and Genome Research, Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, Molecular and Cellular Biology and Nucleic Acids Research.
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.