Dan S. Ray
Impact in
- Molecular Biology top 5%
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Biochemical and Molecular Research
- Ecology top 2%
- Bacteriophages and microbial interactions
Papers in
-
- Biochemical and Molecular Research 19
- DNA and Nucleic Acid Chemistry 14
- DNA Repair Mechanisms 12
- Cancer therapeutics and mechanisms 10
- RNA and protein synthesis mechanisms 9
- Epidemiology 31
- Trypanosoma species research and implications 30
- Co-authors
- Jane C. Hines (28 shared papers)Bertold Francke (4 shared papers)Philip C. Hanawalt (4 shared papers)Thomas Melendy (4 shared papers)Christian T. Sheline (4 shared papers)Randy Schekman (3 shared papers)Jon M. Kaguni (1 shared paper)Michele L. Engel (3 shared papers)
- Journals
- Journal of Molecular Biology (18 papers)Molecular and Biochemical Parasitology (13 papers)Nucleic Acids Research (9 papers)Gene (8 papers)Molecular and Cellular Biology (7 papers)
- Partner nations
- United StatesCzechiaBrazil
In The Last Decade
Dan S. Ray
85 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 2.2k
- Ecology 846
- Genetics 856
- Epidemiology 853
- Parasitology 102
Countries citing papers authored by Dan S. Ray
This map shows the geographic impact of Dan S. Ray'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 Dan S. Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan S. Ray more than expected).
Fields of papers citing papers by Dan S. Ray
This network shows the impact of papers produced by Dan S. Ray. 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 Dan S. Ray. The network helps show where Dan S. Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan S. Ray, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 140 | |
| 2 | 1985 | 127 | |
| 3 | 1964 | 93 | |
| 4 | 1971 | 92 | |
| 5 | 1979 | 92 | |
| 6 | 1969 | 80 | |
| 7 | 1980 | 78 | |
| 8 | 1992 | 71 | |
| 9 | 1996 | 70 | |
| 10 | 1966 | 66 | |
| 11 | 1971 | 66 | |
| 12 | 1969 | 66 | |
| 13 | 1987 | 66 | |
| 14 | 1972 | 61 | |
| 15 | 2005 | 60 | |
| 16 | 1972 | 60 | |
| 17 | 1981 | 60 | |
| 18 | 1965 | 59 | |
| 19 | 1964 | 56 | |
| 20 | 1994 | 56 |
About Dan S. Ray
Dan S. Ray is a scholar working on Molecular Biology, Epidemiology, Genetics, Ecology and Plant Science, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (30 papers), Bacteriophages and microbial interactions (28 papers), Bacterial Genetics and Biotechnology (23 papers), Biochemical and Molecular Research (19 papers), DNA and Nucleic Acid Chemistry (14 papers), DNA Repair Mechanisms (12 papers), Cancer therapeutics and mechanisms (10 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Ecology (846 citations), Genetics (856 citations), Epidemiology (853 citations) and Parasitology (102 citations). Dan S. Ray has collaborated with scholars based in United States, Czechia and Brazil. Frequent co-authors include Jane C. Hines, Bertold Francke, Philip C. Hanawalt, Thomas Melendy, Christian T. Sheline, Randy Schekman, Jon M. Kaguni, Michele L. Engel, Jar-How Lee and P. H. Hofschneider. Their work appears in journals such as Journal of Molecular Biology, Molecular and Biochemical Parasitology, Nucleic Acids Research, Gene and Molecular and Cellular Biology.
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.