Fred Dyda
Impact in
- Virology top 2%
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 25
- Bacterial Genetics and Biotechnology 22
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- CRISPR and Genetic Engineering 18
- DNA Repair Mechanisms 6
- Protein Structure and Dynamics 6
- Co-authors
- Alison Burgess Hickman (56 shared papers)David C. Klein (6 shared papers)Michaël Chandler (18 shared papers)David R. Davies (6 shared papers)Robert Craigie (7 shared papers)Robert Tycko (4 shared papers)Timothy M. Jenkins (2 shared papers)Rodolfo Ghirlando (10 shared papers)
- Journals
- Nucleic Acids Research (9 papers)Molecular Cell (7 papers)Biochemistry (7 papers)Cell (7 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Fred Dyda
89 papers receiving 7.8k citations
Fred Dyda's Hit Papers
Peers
Comparison fields: 5 of 115
- Virology 486
- Molecular Medicine 534
- Biochemistry 320
- Molecular Biology 3.2k
- Genetics 1.3k
Countries citing papers authored by Fred Dyda
This map shows the geographic impact of Fred Dyda'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 Fred Dyda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Dyda more than expected).
Fields of papers citing papers by Fred Dyda
This network shows the impact of papers produced by Fred Dyda. 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 Fred Dyda. The network helps show where Fred Dyda may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Dyda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crystal Structure of the Catalytic Domain of HIV-1 Integrase: Similarity to Other Polynucleotidyl Transferases Hit paper breakdown → | 1994 | 689 |
| 2 | 2000 | 636 | |
| 3 | 2000 | 400 | |
| 4 | 2001 | 340 | |
| 5 | 1998 | 324 | |
| 6 | 2003 | 284 | |
| 7 | 2015 | 260 | |
| 8 | 2010 | 241 | |
| 9 | 2013 | 224 | |
| 10 | 1996 | 210 | |
| 11 | 1993 | 191 | |
| 12 | 2004 | 176 | |
| 13 | 2011 | 176 | |
| 14 | 2016 | 150 | |
| 15 | 1999 | 137 | |
| 16 | 2008 | 129 | |
| 17 | 1995 | 124 | |
| 18 | 1997 | 121 | |
| 19 | 1999 | 120 | |
| 20 | 2002 | 117 |
About Fred Dyda
Fred Dyda is a scholar working on Genetics, Molecular Biology, Materials Chemistry, Virology and Infectious Diseases, having authored 90 papers that have together received 7.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (25 papers), Bacterial Genetics and Biotechnology (22 papers), CRISPR and Genetic Engineering (18 papers), Chromosomal and Genetic Variations (9 papers), HIV/AIDS drug development and treatment (7 papers), DNA Repair Mechanisms (6 papers), Protein Structure and Dynamics (6 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Virology (486 citations), Molecular Medicine (534 citations), Biochemistry (320 citations), Molecular Biology (3.2k citations) and Genetics (1.3k citations). Fred Dyda has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Alison Burgess Hickman, David C. Klein, Michaël Chandler, David R. Davies, Robert Craigie, Robert Tycko, Timothy M. Jenkins, Rodolfo Ghirlando, Alan Engelman and Richard D. Leapman. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Biochemistry, Cell and Proceedings of the National Academy of Sciences.
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.