W D Nunn
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Endocrinology top 5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 21
- RNA and protein synthesis mechanisms 14
- Enzyme Catalysis and Immobilization 7
- Lipid Membrane Structure and Behavior 3
- Genetics 21
- Bacterial Genetics and Biotechnology 21
- Co-authors
- Stanley Maloy (6 shared papers)John E. Cronan (8 shared papers)Robert W. Simons (5 shared papers)Paul N. Black (5 shared papers)Laura Jenkins (1 shared paper)K Kameda (1 shared paper)Burton E. Tropp (6 shared papers)Concetta Dirusso (2 shared papers)
- Journals
- Journal of Bacteriology (18 papers)Journal of Biological Chemistry (10 papers)Biochemistry (2 papers)Molecular Microbiology (1 paper)Journal of Psychiatric Research (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
W D Nunn
39 papers receiving 2.0k citations
W D Nunn's Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 963
- Endocrinology 159
- Biochemistry 211
- Molecular Biology 1.8k
- Molecular Medicine 109
Countries citing papers authored by W D Nunn
This map shows the geographic impact of W D Nunn'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 W D Nunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W D Nunn more than expected).
Fields of papers citing papers by W D Nunn
This network shows the impact of papers produced by W D Nunn. 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 W D Nunn. The network helps show where W D Nunn may publish in the future.
Co-authors
The 25 scholars most cited alongside W D Nunn, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Selection for loss of tetracycline resistance by Escherichia coli Hit paper breakdown → | 1981 | 539 |
| 2 | 1982 | 129 | |
| 3 | 1987 | 125 | |
| 4 | 1981 | 114 | |
| 5 | 1986 | 114 | |
| 6 | 1980 | 92 | |
| 7 | 1981 | 87 | |
| 8 | 1975 | 85 | |
| 9 | 1987 | 83 | |
| 10 | 1980 | 77 | |
| 11 | 1983 | 58 | |
| 12 | 1986 | 57 | |
| 13 | 1985 | 56 | |
| 14 | 1974 | 55 | |
| 15 | 1972 | 53 | |
| 16 | 1979 | 48 | |
| 17 | 1985 | 46 | |
| 18 | 1981 | 44 | |
| 19 | 1984 | 41 | |
| 20 | 1984 | 36 |
About W D Nunn
W D Nunn is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Biochemistry and Spectroscopy, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), RNA and protein synthesis mechanisms (14 papers), Metabolism and Genetic Disorders (10 papers), Enzyme Catalysis and Immobilization (7 papers), Lipid Membrane Structure and Behavior (3 papers), Lipid metabolism and biosynthesis (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Genetics (963 citations), Endocrinology (159 citations), Biochemistry (211 citations), Molecular Biology (1.8k citations) and Molecular Medicine (109 citations). W D Nunn has collaborated with scholars based in United States and Russia. Frequent co-authors include Stanley Maloy, John E. Cronan, Robert W. Simons, Paul N. Black, Laura Jenkins, K Kameda, Burton E. Tropp, Concetta Dirusso, Charles L. Ginsburgh and Philip Egan. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Biochemistry, Molecular Microbiology and Journal of Psychiatric 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.