Daniel L. Wulff
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 20
- Advanced biosensing and bioanalysis techniques 4
- Genomics and Phylogenetic Studies 3
- Ecology 28
- Bacteriophages and microbial interactions 28
- Co-authors
- Martin Rosenberg (11 shared papers)Lothar Krinke (4 shared papers)Claud S. Rupert (1 shared paper)Catherine Brady (4 shared papers)Donald L. Court (4 shared papers)Hiroyuki Shimatake (4 shared papers)Marlene Belfort (4 shared papers)John E. Cronan (4 shared papers)
- Journals
- Genetics (7 papers)Virology (7 papers)Journal of Bacteriology (4 papers)Journal of Molecular Biology (4 papers)Genes & Development (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel L. Wulff
50 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Genetics 895
- Ecology 750
- Molecular Biology 1.6k
- Endocrinology 48
- Molecular Medicine 29
Countries citing papers authored by Daniel L. Wulff
This map shows the geographic impact of Daniel L. Wulff'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 Daniel L. Wulff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Wulff more than expected).
Fields of papers citing papers by Daniel L. Wulff
This network shows the impact of papers produced by Daniel L. Wulff. 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 Daniel L. Wulff. The network helps show where Daniel L. Wulff may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Wulff, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 323 | |
| 2 | 1962 | 176 | |
| 3 | 1983 | 110 | |
| 4 | 1961 | 104 | |
| 5 | 1987 | 96 | |
| 6 | 2021 | 86 | |
| 7 | 1990 | 73 | |
| 8 | 1980 | 68 | |
| 9 | 1969 | 62 | |
| 10 | 1990 | 60 | |
| 11 | 1972 | 60 | |
| 12 | 1963 | 59 | |
| 13 | 1963 | 58 | |
| 14 | 1983 | 45 | |
| 15 | 1980 | 41 | |
| 16 | 1974 | 38 | |
| 17 | 1988 | 35 | |
| 18 | 1991 | 34 | |
| 19 | 1973 | 32 | |
| 20 | 1973 | 31 |
About Daniel L. Wulff
Daniel L. Wulff is a scholar working on Molecular Biology, Ecology, Genetics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (28 papers), Bacterial Genetics and Biotechnology (23 papers), RNA and protein synthesis mechanisms (20 papers), Escherichia coli research studies (5 papers), Medical Image Segmentation Techniques (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Ultrasound Imaging and Elastography (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Genetics (895 citations), Ecology (750 citations), Molecular Biology (1.6k citations), Endocrinology (48 citations) and Molecular Medicine (29 citations). Daniel L. Wulff has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Martin Rosenberg, Lothar Krinke, Claud S. Rupert, Catherine Brady, Donald L. Court, Hiroyuki Shimatake, Marlene Belfort, John E. Cronan, Gideon Fraenkel and David F. Silbert. Their work appears in journals such as Genetics, Virology, Journal of Bacteriology, Journal of Molecular Biology and Genes & Development.
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.