Richard V. Giles
- Molecular Biology top 10%
- Immunology
- Oncology
- Hematology top 10%
- Cancer Research
- Co-authors
- D M TiddDavid G. SpillerRichard E. ClarkDale MouldingMichael WhiteSteven W. EdwardsJohn A. GreenPaul Nicklin
- Topics
- RNA Interference and Gene Delivery (12 papers)DNA and Nucleic Acid Chemistry (10 papers)RNA and protein synthesis mechanisms (8 papers)
- Partner nations
- United Kingdom
In The Last Decade
Richard V. Giles
18 papers receiving 838 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 753
- Immunology 104
- Oncology 76
- Hematology 70
- Cancer Research 52
Countries citing papers authored by Richard V. Giles
This map shows the geographic impact of Richard V. Giles'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 Richard V. Giles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard V. Giles more than expected).
Fields of papers citing papers by Richard V. Giles
This network shows the impact of papers produced by Richard V. Giles. 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 Richard V. Giles. The network helps show where Richard V. Giles may publish in the future.
Co-authorship network of co-authors of Richard V. Giles
This figure shows the co-authorship network connecting the top 25 collaborators of Richard V. Giles. A scholar is included among the top collaborators of Richard V. Giles based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard V. Giles. Richard V. Giles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 105 | |
| 5 | 128 | |
| 6 | Antisense oligonucleotide technology: from EST to therapeutics. | 9 |
| 7 | 6 | |
| 8 | The influence of target protein half-life on the effectiveness of antisense oligonucleotides | 1 |
| 9 | 78 | |
| 10 | 33 | |
| 11 | 66 | |
| 12 | 74 | |
| 13 | 26 | |
| 14 | EFFECT OF CHIMERIC AND CONVENTIONALLY LINKED ANTISENSE OLIGONUCLEOTIDES ON BCR-ABL EXPRESSION IN INTACT CHRONIC MYELOID-LEUKEMIA CELLS | 1 |
| 15 | 97 | |
| 16 | 71 | |
| 17 | Chimeric oligodeoxynucleotide analogues: enhanced cell uptake of structures which direct ribonuclease H with high specificity. | 51 |
| 18 | 113 |
About Richard V. Giles
Richard V. Giles is a scholar working on Molecular Biology, Hematology and Immunology, having authored 18 papers that have together received 873 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), DNA and Nucleic Acid Chemistry (10 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Molecular Biology (753 citations), Hematology (70 citations) and Immunology (104 citations). Richard V. Giles has collaborated with scholars based in United Kingdom. Frequent co-authors include D M Tidd, David G. Spiller, Richard E. Clark, Dale Moulding, Michael White, Steven W. Edwards, John A. Green, Paul Nicklin, Robert E. Clark and R E Clark. Their work appears in journals such as Nucleic Acids Research, Blood and Methods in enzymology on CD-ROM/Methods in enzymology.
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.