N. Yannoutsos
- Genetics top 5%
- Animal Genetics and Reproduction 9
- Virus-based gene therapy research 3
- Genetics top 5%
- Animal Genetics and Reproduction 9
- Virus-based gene therapy research 3
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 8
- Genomics and Chromatin Dynamics 4
- RNA Interference and Gene Delivery 2
- Immunology top 10%
- T-cell and B-cell Immunology 3
- Complement system in diseases 2
- Hematology top 10%
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- Xenotransplantation and immune response 4
- Co-authors
- Frank GrosveldPeter FraserKian Cheng Tan-UnMichel C. NussenzweigNiall DillonDavid WhyattO HanscombeDavid R. Greaves
- Cited by
- GeneticsMolecular Biology
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
N. Yannoutsos
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 69
- Genetics 184
- Genetics 463
- Molecular Biology 1.0k
- Immunology 297
- Hematology 73
Countries citing papers authored by N. Yannoutsos
This map shows the geographic impact of N. Yannoutsos'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 N. Yannoutsos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Yannoutsos more than expected).
Fields of papers citing papers by N. Yannoutsos
This network shows the impact of papers produced by N. Yannoutsos. 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 N. Yannoutsos. The network helps show where N. Yannoutsos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. Yannoutsos, 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 | 64 | |
| 2 | 2004 | 58 | |
| 3 | 2001 | 59 | |
| 4 | 1999 | 9 | |
| 5 | 1999 | 42 | |
| 6 | 1999 | 122 | |
| 7 | 1997 | 6 | |
| 8 | 1996 | 43 | |
| 9 | 1996 | 286 | |
| 10 | 1996 | 36 | |
| 11 | 1996 | 43 | |
| 12 | 1996 | 192 | |
| 13 | Comparative analysis of human DAF expression in the tissues of transgenic pigs and man. | 1995 | 14 |
| 14 | Expression of human DAF and MCP on pig endothelial cells protects from human complement. | 1995 | 19 |
| 15 | 1994 | 82 | |
| 16 | Production of pigs transgenic for human decay accelerating factor. | 1994 | 75 |
| 17 | Expression of human decay accelerating factor in transgenic pigs. | 1994 | 31 |
| 18 | Tissue expression of human decay accelerating factor, a regulator of complement activation expressed in mice: a potential approach to inhibition of hyperacute xenograft rejection. | 1993 | 16 |
| 19 | 1991 | 253 |
About N. Yannoutsos
N. Yannoutsos is a scholar working on Genetics, Immunology and Hematology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (9 papers), CRISPR and Genetic Engineering (8 papers), Xenotransplantation and immune response (4 papers), Genomics and Chromatin Dynamics (4 papers), Virus-based gene therapy research (3 papers), T-cell and B-cell Immunology (3 papers), Complement system in diseases (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (184 citations), Genetics (463 citations) and Molecular Biology (1.0k citations). N. Yannoutsos has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Frank Grosveld, Peter Fraser, Kian Cheng Tan-Un, Michel C. Nussenzweig, Niall Dillon, David Whyatt, O Hanscombe, David R. Greaves, An Langeveld and Wong Yu. Their work appears in journals such as Science, Cell 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.